Healthcare organizations are managing many challenges at once: consumers expect digital experiences that feel as personalized as other industries, fragmented data in silos slows strategic decision-making, and AI and advanced technologies must integrate seamlessly into existing care models. 

Meeting these demands requires more than incremental change—it calls for digital solutions that unify access to care, trusted data, and advanced technologies to deliver transformative outcomes and operational efficiency. 

IDC Market Glance: Healthcare Ecosystem, 4Q25

We’re proud to share that Perficient has been included in the “IT Services” category in the IDC Market Glance: Healthcare Ecosystem, 4Q25 report (Doc# US54010025, December 2025). This segment includes systems integration organizations providing advisory, consulting, development, and implementation services, as well as products or solutions. 

We believe this inclusion reinforces our expertise in leveraging AI, data, and technology to deliver intelligent tools and intuitive, compliant care experiences that drive measurable value across the health journey.  

We believe this commitment aligns with critical shifts IDC Market Glance highlights in its latest report, which emphasizes how healthcare organizations are activating advanced technology and AI. IDC Market Glance shares, “Health systems and payers are moving more revenue into value-based care and capitated risk, pushing tech buyers to favor solutions that improve quality metrics, lower total cost of care, and help hit incentive thresholds.” 

As the industry evolves, IDC predicts: “Technology buyers will likely favor vendors that align revenue models to customer risk arrangements, plug seamlessly into large platforms, and demonstrate human-centered design that supports clinicians rather than replacing them.” 

To us, this inclusion validates our ability to help healthcare organizations maximize technology and AI to drive transformative outcomes, power enterprise agility, and create seamless, consumer-centric experiences that build lasting trust.

Intelligent Solutions for Transformative Outcomes 

These shifts are actively transforming the healthcare ecosystem, challenging leaders to rethink how they deliver care and create value. Our partnerships with leading organizations show what’s possible: moving AI from pilot to production, building interoperable data foundations that accelerate insights, and designing human-centered solutions that empower care teams and improve the cost, quality, and equity of care. 

Easing Access to Care With a Commerce-Like Experience 

We helped Rochester Regional Health reimagine its digital front door to triage like a clinician, personalize like a concierge, and convert like a commerce platform—creating a seamless experience that improves access, trust, and outcomes. The mobile-first redesign introduced smart search, dynamic filters, and real-time booking, driving a 26% increase in appointment scheduling and saving $79K+ monthly in call center costs. As a result, this transformative work earned three industry awards, recognizing the solution’s innovation in accessibility, engagement, and measurable impact on patient care.

Consumers expect frictionless access to care, personalized experiences, and real-time engagement. Our recent Access to Care Report reveals more than 45% of consumers aged 18–64 have used digital-first care instead of their regular provider—and 92% of them believe the quality is equal or better. To deliver on consumers’ expectations, leaders need a unified digital strategy that connects systems, streamlines workflows, and gives consumers simple, reliable ways to find and schedule care.

Explore how our Access to Care research continues to earn industry awards or learn more about our strategic position on find care experiences. 

Empowering Care Ecosystems Through Interoperable Data Foundations 

We helped a healthcare insurance leader build a single, interoperable source of truth that turns healthcare data into a true strategic asset. Our FHIR‑enabled solution ingests, normalizes, and validates data from internal and external systems and shares a consolidated, reliable dataset through API connectors, gateways, and extracts, grounded in data governance. Ultimately, this interoperable data foundation accelerates time to market, minimizes downtime through EDI and API modernization, and ensures the right data reaches the right hands at the right time to power consumer‑grade experiences, while confidently meeting interoperability standards. 

Discover our platform modernization and data management capabilities.  

Accelerating Member Support With Human-Centered GenAI Innovation 

We helped a leading Blue Cross Blue Shield health insurer transform CSR support by deploying a natural language Generative AI benefits assistant powered by AWS’s AI foundation models and APIs. The intelligent assistant mines a library of ingested documents to deliver tailored, member-specific answers in real time, eliminating cumbersome manual processes and PDF downloads that previously slowed resolution times. Beyond faster answers, this human-centered solution accelerates benefits education, equips agents to provide relevant information with greater speed and accuracy, and demonstrates how generative AI can move from pilots into core infrastructure to support staff rather than replace them.

Read more about our AI expertise or explore our human-centered design services. 

Build Your Scalable, Data-Driven Future 

From insight to impact, our healthcare expertise  equips leaders to modernize, personalize, and scale care. We drive resilient, AI-powered transformation to shape the experiences and engagement of healthcare consumers, streamline operations, and improve the cost, quality, and equity of care.

We have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S., and Modern Healthcare consistently ranks us as one of the largest healthcare consulting firms.

Our strategic partnerships with industry-leading technology innovators—including AWS, Microsoft, Salesforce, Adobe, and  more—accelerate healthcare organizations’ ability to modernize infrastructure, integrate data, and deliver intelligent experiences. Together, we shatter boundaries so you have the AI-native solutions you need to boldly advance business.

Ready to Turn Fragmentation Into Strategic Advantage? 

We’re here to help you move beyond disconnected systems and toward a unified, data-driven future—one that delivers better experiences for patients, caregivers, and communities. Let’s connect  and explore how you can lead with empathy, intelligence, and impact. 

In my last blog post I addressed how to prepare your team for a unique experience and have them primed and ready for brainstorming.

Now I want to cover what actually happens INSIDE the brainstorming session itself. What activities should be included? How do you keep the energy up throughout the session?

Here’s a detailed brainstorming framework and agenda you can follow to generate real results. It works whether you have 90 minutes or a full day; whether you are tackling product innovation, process improvement, strategic planning, or problem solving; and whether you have 4 people on the team or 12 (try not to do more than that). Feel free to pick and choose what you like and adjust to fit your team and desired depth.

Pre-Session Checklist

• Room Setup: Seating arranged to encourage collaboration (avoid traditional conference setups), background music playing softly, be free to move around. Being offsite is best!
• Materials: Whiteboards, sticky notes, markers, small and large paper pads, dot stickers for voting, projector/screen.
• Helpers: Enlist volunteers to capture ideas, manage breakout groups, and tally votes. Ensure they know their roles ahead of time.
• Technology: If you’re using digital tools, screen sharing, or virtual whiteboards, test everything before the team arrives.
• Breaks: Make sure you plan for breaks. People need mental and physical break periods.
• Food: Have snacks and beverages ready. If you have a session over 3 hours, plan lunch and/or supper.

1. Welcome the Team (5-20 minutes)

As people arrive, keep things light to set the tone. Try to keep a casual conversation going, laughs are ideal! This isn’t another meeting, it’s a space for creative thinking.

If anyone participated in personal disruptions ahead of the meeting, (with no pressure) see if they’ll share. As the facilitator, have your own ready to share and also explain the room disruptions you’ve set up.

2. Mental Warmups (5-20 minutes)

The personal disruptions mentioned in my other post are meant to break people out of their mental ruts. This period of warm up is meant to achieve the same thing.

Many facilitators do this with ice breakers. I personally don’t like them and have had better luck with other approaches. Consider sharing some optical illusions or brain teasers that stretch their minds rather than putting them on the spot with forced socialization.

That said, ice breakers that get people up and building something together can work too, if you have one you like. Things like small teams building the tallest tower out of toothpicks and mini-marshmallows is a common one that works well.

3. Cover the Brainstorming Ground Rules (2-10 minutes)

• No Bad Ideas: Save negativity for later. Right now, we’re generating not judging.
• Quantity Over Quality: More ideas mean more chances for success. Aim for volume.
• Wild Ideas Welcome: Suspend reality temporarily. One impossible idea can spark a feasible one.
• No Ownership Battles: Ideas belong to the team. Collaboration beats competition.
• Build on Others: Use “Yes, and…” thinking. Evolve, merge, and improve ideas together.
• Stay Present: No emails, no phones. Even during breaks, don’t get distracted.

These rules should be available throughout the session. Consider hanging a poster with them or sharing an attendee packet that includes it. If anyone is attending remotely, share these in the chat area.

As the facilitator, you should be prepared to enforce these rules!

4. Frame the Challenge (5-20 minutes)

Why are we here today? What’s the goal of this brainstorming session? What do we hope to achieve after spending hours together?

This is a critical time to ensure everyone’s head is in the right place before diving into the actual brainstorming. We’re not here just to have fun, we’re here to solve a business problem. Use whatever information you have to enlighten the team on current state, desired state, competition, business data, customer feedback…whatever you have.

Now that we have everyone mentally prepared, consider a short break after this.

5.A. Individual Ideation (5-15 minutes)

This time is well spent whether you had your team generate ideas ahead of time or not. Even if you asked them to, you cannot expect everyone to have devoted time to think about your business objective ahead of time. You will end up with more diverse ideas if you keep this individual time in the agenda.

Here, we want to provide your attendees with paper, pens, and/or sticky notes, and set a timer. Remind them that quantity of ideas is the goal.

Ask the team on their own to come up with 10+ ideas in 5 minutes. They can compete to see who comes up with the most. Keep some soft background music playing (instrumental music). Consider dropping a “crazy bomb of an idea” as an example… something completely unrealistic and surprising, just to jar their minds one last time before they start. Show them that it’s OK to be wild in their suggestions.

When the round is done, optionally, you can take the next 5-10 minutes hearing some of the team’s favorites. Not all, just the favorites. Write them on a board, or post the sticky notes up.

5.B. Second Round of Individual Ideation (10-20 minutes)

If you have time, do a second round of individual idea creation, but this time introduce lateral thinking. Using random entry to show them that ideas can be triggered through associations. Have snippets of paper with random words for each person to draw from a bowl or hat. Give them an additional 5 or 10 minutes to come up with another set of ideas that relates to the word they selected.

For this second round you should be prepared to help anyone who struggles. You can suggest connections to their selected word, or push them to explore synonyms, antonyms, or other associations. For instance, if they draw “tiger”, you can associate animal, cat, jungle, teeth, claws, stripes, fur, orange, black, white, predator, aggression, primal, mascot, camouflage, frosted flakes, breakfast, sports, Detroit, baseball, Cincinnati, football, apparel, clothing, costume, Halloween, and more!

The associations are endless. They draw “tiger”, associate “stripe”, and relate that to the objective in how “striping” could mean updating parts of a system, and not all of it. Or they associate “baseball” and relate that to the objective in how a “bunt” is a strategic move that averts expectations and gets you on base.

6. Idea Sharing (10-60 minutes)

This portion of brainstorming is where ideas start to come together. When people start sharing their initial ideas, others get inspired. Remind everyone that we’re not after ownership, we’re collectively trying to solve the business problem. Your helpers can take notes on who was involved in an idea, so they can later be tagged for additional input or the project team.

This step can be nerve-wracking. Professionals may be uncertain about sharing half-baked ideas, but this is what we need! Don’t pressure anyone, so you, as the facilitator, can offer to share ideas on their behalf if they would like that.

As part of this step, begin identifying patterns and themes. People’s first ideas are generally the easy ones that multiple people will have (including your competitors). There will be similarities. Group those ideas now and try to give the groupings easy to reference names.

The bulk of the ideas are now in everyone’s heads, consider a short break after this.

7. Idea Expansion (20-60 minutes)

As the team comes back from a break, do a round of dot voting. Your ideas are pasted up and grouped, and the team has had some time to let those ideas settle in their minds. Now we’re ready to start driving the focus of the rest of this session.

There should be a set of concepts that are most intriguing to the team. Now, you will encourage pushing some further, spin-off ideas, and cross-pollination. Even flipping ideas to their opposite is still welcome. SCAMPER is an acronym that applies to creative thinking, and you might print it out and display it for your session today.

Like comedy improv, we still do not want to be negative about any idea. Use “yes, and…” to elaborate on someone’s idea. “I really like this idea, now imagine if we spin it as…” Make sure these expansions are being written down and captured.

8. Wild Card Rounds (10-60 minutes)

If you have a larger group, this time is ideal for break-out sessions. If your group is small, it can be another individual ideation round.

Take the top contending themes and divvy them out to groups or individuals. Then you can run 1-3 speed rounds, rotating themes between rounds.

1. Role Play: Ask them to expand on their theme as if they were Steve Jobs, Jeff Bezzos, Einstein, your competitor, or SpongeBob. This makes them think differently.
2. Constraints: Consider how they would have to change the idea if they were limited by budget, time, quality, or approach. Poetry is beautiful because of its constraints.
3. Wishful Thinking: What could you do if all constraints were lifted? If you were writing a fictional book, how would you make this happen?
4. Exaggeration: Take the idea to the extreme. If the idea as stated is 10%, what does 100% look like? What does 10-times look like?

This level of pushing creativity can be exhausting, consider a break after this.

9. Bring it Together (10-60 minutes)

Update your board with the latest ideas and iterations, if you haven’t already. Give the attendees a few minutes to peruse the posted ideas and reflect. Refresh the favorites list with another round of dot voting.

If time allows, move on from all this divergent thinking, and ask the attendees to list some constraints or areas that need to be investigated for these favorite ideas to work. Keep in mind this is still a “no bad ideas” session, so this effort should be a means to identify next steps for the idea and how to ensure it is successful if it is selected to move forward.

If you still have more time available, start some discussion that could help create a priority matrix after the meeting (like How/Now/Wow). Venture into identifying the following for each of the favorite ideas. We’re just looking for broad strokes and wide ranges today. On a scale of 1-10, where do these fall?

• Impact: How much would this change the story for the business?
• Effort: How much effort from business resources might be required?
• Timeline: What would the timeline look like?
• Cost: Would there be outside costs?

10. Next Steps (5-10 minutes)

This is the last step of this brainstorming session, but this is not the end. Now we fill the team in on what happens next and give them confidence that today’s effort will be useful. Start by asking the team what excited or surprised them the most today, and what they’d like to do again sometime.

Explain to the team how these ideas will be documented and shared out. The team should already be excited about at least one of today’s ideas, they’ll sleep on these ideas and continue thinking. So, let them know that there will be an opportunity to add additional thoughts to their favorites in the days/weeks to come.

Explain if you have any further plans to get feedback from stakeholders, leaders, or customers. If there are decision makers that are not in this meeting, then help your team understand what you’ll be doing to share these collective ideas with those who will make the final call.

Lastly, thank them for their time today. Express your own satisfaction and excitement for what’s to come. Try to squeeze in a few more laughs and build a feeling of teamwork. Consider remarking on something from this meeting as a “you had to be there” type of joke, even if it is the unrealistic bombshell of an idea that gets a laugh.

Tips for the Facilitator

• Energy Management: Watch the room’s energy. If it dips, inject movement. Stand up, stretch, take a quick walk, change the pace with a speed round.
• Protect the Quiet Voices: Don’t let extroverts dominate. Use techniques like written brainstorming and round-robin sharing to ensure everyone contributes.
• Embrace the Awkward Silence: When you ask a question and get silence, resist the urge to fill it. Give people time to think. Count to ten in your head before jumping in, and don’t make them feel like it was a failure to not say anything.
• Document Everything: Assign helpers to photograph whiteboards, capture sticky notes, and record key insights. You’ll lose valuable ideas if you rely on memory alone.
• Keep Your “Crazy Idea Bomb” Ready: If the room gets stuck, be prepared to throw out something intentionally wild to break the pattern. Sometimes the group needs permission to think bigger.
• Stay Neutral: As facilitator, your job is to guide the process, not advocate for specific ideas. You can participate, if you want to, but save your own advocacy for later. No idea is a bad idea in this session.

Conclusion

I hope you find this example brainstorming session agenda helpful! It’s one of my favorite things to run through. Get your team prepped and ready, then deliver an amazing workshop to drive creativity and innovation!

……

If you are looking for a partner to run brainstorming with, reach out to your Perficient account manager or use our contact form to begin a conversation.

The conversation around artificial intelligence (AI) in professional sectors, whether in law, finance, healthcare, or government, has reached a fever pitch. AI promises to boost productivity, reduce administrative burdens, and unlock new value across knowledge-based industries. Yet, for many organizations, the reality lags behind the rhetoric. Despite high levels of awareness and pilot projects aplenty, genuine, deep adoption of AI tools remains elusive.

As we stand on the brink of a new era in workplace technology, understanding the human factors that drive or block AI adoption is more critical than ever. The question is no longer if AI will reshape the workplace, but how and how deeply it will embed itself in the daily routines, decisions, and cultures of organizations.

The AI Adoption Gap

A striking paradox defines the current state of AI in the workplace. Surveys show that most professionals are familiar with generative AI, and organizations are investing heavily in pilots and proofs of concept. Yet, according to recent research, only a small minority of firms have moved beyond surface-level or “shallow” adoption to truly embed AI into core processes.

This “adoption gap” has tangible consequences:

• Missed Productivity Gains: Shallow use think drafting emails or summarizing documents, delivers only marginal improvements. The transformative potential of AI is realised only when it is integrated into complex, high-value workflows.
• Shadow IT Risks: Employees frequently use unauthorised or unapproved AI tools in the absence of clear guidelines, exposing organizations to compliance, security, and reputational risks.
• Stalled Innovation: Without deep adoption, firms risk falling behind competitors who are leveraging AI for strategic differentiation.

Bridging this gap requires more than technical solutions. It demands a Behavioral approach, one that acknowledges the role of habits, heuristics, emotions, and social context in shaping how professionals embrace new technology.

Behavioral Science as the Missing Link

To accelerate meaningful AI adoption, organizations must look beyond binary metrics of use and instead understand the continuum of adoption, the barriers at each stage, and the Behavioral levers that can move individuals and teams deeper into productive engagement with AI.

1. Adoption Is a Continuum, Not a Toggle

AI adoption in professional settings is not a simple yes-or-no proposition. Instead, it unfolds along a spectrum:

• No Adoption: AI tools are ignored or avoided.
• Shallow Adoption: AI is used sporadically for low-stakes or auxiliary tasks.
• Deep Adoption: AI is fully integrated into core workflows, driving strategic gains in quality, innovation, and efficiency.

Implication: Organizations must diagnose where teams sit on this continuum and tailor interventions accordingly.

2. Motivation, Capability, and Trust: The Three Drivers of Adoption

Behavioral science identifies three essential ingredients for moving up the adoption ladder:

• Motivation: Do staff see a clear, relevant benefit to using AI?
• Capability: Do they feel able and confident to use AI effectively?
• Trust: Do they believe AI aligns with their values and professional standards?

Each driver comes with its own set of barriers and solutions:

• Motivation Barriers: Low salience of benefits, status quo bias, and “satisficing” (settling for good enough).
  • Solutions: Frame benefits in tangible terms, highlight quick wins, and use social proof and commitment devices.
• Capability Barriers: Friction in workflows, cognitive overload, and lack of operational readiness.
  • Solutions: Integrate AI seamlessly, reduce effort, and provide structured training and time for experimentation.
• Trust Barriers: Perceived threats to competence or identity, inconsistent signals, and doubts about AI’s legitimacy.
  • Solutions: Increase transparency, allow personalization, and celebrate early wins and responsible experimentation.

3. Small Design Choices Have Outsized Impact

Behavioral nudges like default settings, timely prompts, and visible endorsements from leaders can dramatically increase adoption. For example:

• Default AI notetakers in meetings can normalize use and reduce friction.
• Peer comparison and transparency about how AI works build trust and engagement.
• Showcasing successful use cases and creating AI “champions” can drive momentum across teams.

4. Context Matters: One Size Does Not Fit All

Adoption barriers and enablers vary by individual, role, sector, and task. For instance:

• High-stakes or identity-defining tasks (e.g., clinical diagnosis or legal decisions) require greater trust and clearer evidence of AI’s value.
• Adoption rates differ by gender, age, and professional background, highlighting the need for inclusive strategies.

5. From Shallow to Deep: The Real Value Is in Integration

The most significant gains come not from using AI more often, but from embedding it more deeply, redesigning workflows, updating performance metrics, and empowering employees to co-create new processes. Firms that achieve this see outsized returns in productivity, innovation, and employee satisfaction.

Charting a Roadmap for AI Adoption

The future of professional work will be shaped as much by behavioral insights as by technical breakthroughs. To unlock the full promise of AI, organizations must:

1. Assess Current Adoption: Map where teams are on the adoption continuum.
2. Diagnose Barriers: Identify motivational, capability, and trust-related obstacles.
3. Co-Design Interventions: Work with staff to develop tailored, behaviorally informed solutions.
4. Pilot, Measure, and Scale: Experiment, gather feedback, and iterate based on what works.
5. Celebrate and Learn: Share successes, acknowledge failures, and foster a culture of responsible AI experimentation.

Leaders committed to the AI-enabled future must move beyond hype and pilot projects. By applying behavioral science to the adoption challenge, professional firms can transform AI from a peripheral tool into a strategic asset—one that delivers on its promise for people, performance, and purpose.

For organizations seeking to accelerate their AI journey, the message is clear: start with behavior, and the technology will follow.

 Behavior+ AI Series

• Building A More Capable And Wiser AI

Based on the Adopt article from BIT.

Explore our AI services and capabilities at Perficient

If you’re knee-deep in building apps, you already know APIs are the backbone of everything. Testing them? That’s where the real magic happens. For years, we’ve relied on tools like Postman and Insomnia to send requests, debug issues, and keep things running smoothly. But lately, there’s a buzz about something new: Bruno. It’s popping up everywhere, and developers are starting to make the switch. Why? Let’s dive in.

What Exactly is Bruno?

Picture this: an open-source, high-performance API client that puts your privacy first. Bruno isn’t some bloated app that shoves your stuff into the cloud. “No,” it keeps everything right on your local machine. Your API collections, requests, all of it? Safe and sound where you control it, no cloud drama required.

Bruno is built for developers who want:

• Simplicity without compromise
• High performance without unnecessary extras
• Complete freedom with open-source flexibility

It’s like the minimalist toolbox you’ve been waiting for.

Why is Bruno Suddenly Everywhere?

Bruno solves the pain points that frustrate us with other API tools:

• Privacy First: No forced cloud uploads, your collections stay local. No hidden syncing; your data stays completely under your control.
• Fast and Lightweight: Loads quickly and handles requests without lag. Perfect for quick tests on the go.
• Open-Source Freedom: No fees, no lock-in. Collections are Git-friendly and saved as plain text for easy version control.
• No Extra Bloat: Focused on what matters, API testing without unnecessary features.

Bottom line: Bruno fits the way we work today, collaboratively, securely, and efficiently. It’s not trying to do everything; it’s just good at API testing.

Key Features

Bruno keeps it real with features that matter. Here are the highlights:

1. Totally Open-Source

• No sneaky costs or paywalls.
• Peek under the hood anytime—the code’s all there.
• A group of developers is contributing to GitHub, making it better every day. Wanna join? Hit up their repo and contribute.

2. Privacy from the Ground Up

• Everything lives locally.
• No accounts, no cloud pushes—your requests don’t leave your laptop.
• Ideal if you’re handling sensitive APIs and don’t want Big Tool Company snooping.
• Bonus: Those plain-text files integrate well with Git, so team handoffs are seamless.

3. Light as a Feather, Fast as Lightning

• Clean UI, no extra bells and whistles slowing you down.
• Starts up quickly and zips through responses.
• Great for solo endpoint tweaks or managing large workflows without your machine slowing.

Getting Bruno Up and Running

Installing Bruno is simple. It works on Windows, macOS, and Linux. Just choose your platform, and you’re good to go.

#3. Quick Install Guide

Windows

1. Head to Bruno’s GitHub Releases page.
2. Grab the latest .exe file.
3. Run it and follow the prompts.
4. Boom—find it in your Start Menu.

macOS

1. Download the .dmg from Releases.
2. Drag it to Applications.
3. Fire it up and get testing.

Linux

1. Snag the .AppImage or .deb from Releases.
2. For AppImage: chmod +x Bruno.AppImage then ./Bruno.AppImage.
3. For .deb: sudo dpkg -i bruno.deb and sudo apt-get install -f.

GUI or CLI? Your Call

• GUI: Feels like Postman but cleaner. Visual, easy-to-build requests on the fly.
• CLI: For the terminal lovers. Automate tests, integrate with CI/CD, or run collections: bruno run collection.bru –env dev.

Build Your First Collection in Minutes

Bruno makes organizing APIs feel effortless. Here’s a no-sweat walkthrough.

Step 1: Fire It Up

Launch Bruno. You’ll see a simple welcome screen prompting you to create a new collection.

Step 2: New Collection Time

1. Hit “New Collection.”
2. Name it (say, “My API Playground”).
3. Pick a folder—it’s all plain text, so Git loves it.

Step 3: Add a Request

1. Inside the collection, click “New Request.”
2. Pick your method (GET, POST, etc.).
3. Enter the URL: https://jsonplaceholder.typicode.com/posts.

Step 4: Headers and Body Magic

• Add the header: Content-Type: application/json.
• For POSTs, add a body like:

JSON

{
"title": "Bruno Blog",
"body": "Testing Bruno API Client",
"userId": 1
}

Step 5: Hit Send

Click it, and watch the response pop: status, timing, pretty JSON—all right there.

Step 6: Save and Sort

Save the request, create folders for environments or APIs, and use variables to switch setups.

Bruno vs. Postman: Head-to-Head

Postman’s the OG, but Bruno’s the scrappy challenger winning hearts. Let’s compare.

1. Speed

• Bruno: Lean and mean—quick loads, low resource hog.
• Postman: Packed with features, but it can feel sluggish on big projects. Edge: Bruno

2. Privacy

• Bruno: Local only, no cloud creep.
• Postman: Syncs to their servers—handy for teams, sketchy for secrets. Edge: Bruno

3. Price Tag

• Bruno: Free forever, open-source vibes.
• Postman: Free basics, but teams and extras? Pay up. Edge: Bruno

Feature	Bruno	Postman
Open Source	Yes	No
Cloud Sync	No	Yes
Performance	Lightweight	Heavy
Privacy	Local Storage	Cloud-Based
Cost	Free	Paid Plans

Level up With Advanced Tricks

Environmental Variables

Swap envs easy-peasy:

• Make files for dev/staging/prod.
• Use {{baseUrl}} in requests.
• Example:

{
"baseUrl": "https://api.dev.example.com",
"token": "your-dev-token"
}

Scripting Smarts

Add pre/post scripts for:

• Dynamic auth: request.headers[“Authorization”] = “Bearer ” + env.token;
• Response checks or automations.

Community & Contribution

It’s community-driven:

• Repo: https://github.com/usebruno/bruno
• Contribute: Fork, branch, PR. Report bugs, chat ideas—help build the future.

Conclusion

Bruno isn’t just another API testing tool; it’s designed for developers who want simplicity and control. With local-first privacy, fast performance, open-source flexibility, and built-in Git support, Bruno delivers everything you need without unnecessary complexity.
If you’re tired of heavy, cloud-based clients, it’s time to switch. Download Bruno today and experience the difference: Download here.

Brainstorming sessions have a love-hate situation. Half the team is excited, the other half dreads it. The truth is, anyone can be creative, but it doesn’t happen by accident – it takes intentionality.

The key is preparation. If people show up cold, they’ll default to routine thinking or recycle old ideas. To break free, our brains need to loosen up first.

After years of leading innovative teams, I’ve learned what works. Here’s a simple game plan to help your team show up ready to think differently and generate fresh ideas together.

Your Job as the Facilitator

Your goal is to make sure the team is ready for what might feel like an unusual process. This isn’t a standard meeting. If your team walks into the same room, sits in the same chairs, sipping the same coffee, they’ll fall into routine and recycle old ideas.

Jumping in cold with, “Now, let’s be creative!” usually leads to either awkward silence or one person dominating the conversation. Neither sparks innovative ideas from the team at large.

Instead, help the team stretch beyond their daily rut. Give them a clear game plan so they arrive ready to think differently and generate ideas that excite everyone.

Week Before: Early Prep

Start the conversation early so people have time to adjust and prepare. Share the problem or opportunity you’ll tackle and why it matters. Encourage participants to jot down initial ideas ahead of time to prime their creative pump and avoid awkward silences for you. If you want, you can ask them to send a few ideas to you ahead of time.

Lay out expectations clearly:

1. Send the agenda so everyone knows what to expect.
2. Focus on idea generation, not debate. Quantity over quality with an “idea factory.”
3. Encourage wild thinking. Suspend reality for a moment, because one impossible idea can spark a feasible one.
4. Set aside ownership. Collaboration is key. Great ideas are evolved, changed, merged.
5. Share inspiration. Send the team an article, video, or data to start the train of thought.
6. Suggest habit shifts. Exercise, meditation, or quiet time can help reset the mind ahead of the session.

Consider a message like:

“Next week we’re going to think differently together. I’m not expecting perfect solutions, but instead want you to arrive with your mind loosened up and ready to play. Here’s how to prepare…”

Day Before: Prime the Mindset

Send a reminder the day before to reinforce excitement and set expectations. If you’ve received early ideas, acknowledge them with enthusiasm and let the team know this is meant to be fun.

Offer quick prep tips:

1. Revisit the “why” of this session. Remind them of the importance of participation.
2. Ask them to avoid distractions in the morning. No early morning emails!
3. Set the tone of the event as judgment-free, experimental, and collaborative. Similar to comedy improv: use “Yes, and…,” “What if…,” or “Could we…?”
4. Emphasize the evolution of ideas and how they grow and change. Building together is the goal.
5. Note that ideas start out rough, but you can polish them. Even the opposite of a good idea can spark another great idea.
6. Suggest breaking their personal routine. Try small disruptions: take a new route to work, wear something unusual, listen to a different music genre. Maybe walk up the stairs backwards.

Consider a message like:

“To prepare your mind for tomorrow, I’m challenging you to break from your norm tonight and tomorrow morning. Try at least two of these suggestions or invent one of your own. Let’s see who finds the weirdest personal disruption!”

Day Of: Set the Stage

First impressions matter. Start the session a little later than usual (we asked them to not hop into work before the session), we want them to arrive fresh. Have the space ready before they walk in.

Make the room feel different:

• Atmosphere: Light background music. A slideshow or posters with creative quotes. Snacks and beverages.
• Seating: Avoid typical conference room setups. Use casual seating or standing tables for comfort and encourage movement throughout the session.
• Tools: Whiteboards, large pads of paper, notebooks, sticky notes, pencils, pens, markers, colored dot stickers for voting, and a screen or projector for references.

The goal here is to signal that this isn’t a typical meeting – it’s a space for creativity.

During the Session

Keep things casual while welcoming everyone as they arrive. Explain why the meeting space looks different and ask if anyone disrupted their morning routine. Be prepared to share your own example if no one chimes in. Keep it light and fun! Aim for laughs, no pressure. Icebreakers work OK, but I prefer a few optical illusions and brain teasers for warming people up.

You should have helpers ready to capture ideas, snap photos of boards, and tally votes. If you use breakout groups, assign a helper to each group.

As facilitator, reiterate the rules:

1. Restate the objective for today. Fresh ideas are needed.
2. No bad ideas. Reviews and debates come later.
3. No competition. Fighting over ownership limits creativity. (Your helpers should keep note of who’s passionate about ideas for follow-up.)
4. Wild ideas are welcome! Spin-off ideas are expected.
5. Quantity over quality. More ideas provide more chances for breakthroughs.
6. Free to move around. Standing, pacing, and changing seats keeps energy up.

Be ready to help if people get stuck:

• Use lateral thinking such as random words, images, or “How would Einstein/Steve Jobs/SpongeBob solve this?”
• Flip the problem by trying the opposite approach or by exaggerating to an illogical extreme.
• Adding constraints can help creativity.
• Use speed rounds. Tight limits often spark creativity. “How many unique ideas can you generate in 5 minutes?”
• You should prepare at least one “crazy idea bomb” to break out of slumps if they happen.

Here’s my example agenda for brainstorming.

Session End

Wrap up on a positive note. Thank everyone for their time and willingness to break out of their routines. Reference a funny idea or moment from the session, if one stood out, trying to end with laughs.

Invite quick reflections:

• What excited or surprised you most today?
• What helped loosen you up?
• What would you want to do again next time?

End with an outline of next steps so the team knows this isn’t the end of the process. Share how ideas will be reviewed, refined, and moved forward.

After: Keep the Momentum

Send a quick follow-up thanking everyone for their time and creativity. Reinforce that this is just the beginning. More to come!

With help from your volunteers, capture all ideas in a shared document, tally votes, and define next steps:

1. Share the summary docs so everyone can reflect.
2. Gather feedback and invite additional thoughts.
3. Assess impact vs. effort for each idea.
4. Engage leadership and sponsors to get buy-in for promising ideas.
5. Consider budget and resources early.
6. Identify project champions. Not idea owners, but people who can move ideas forward and build teams.
7. Create teams around high-potential ideas. Make sure to include those who were passionate about them.
8. Plan follow-up sessions for refinement and move toward official project initiatives.

Conclusion

With a little preparation and clear expectations, you can take brainstorming sessions to the next level. You prime the pump for real creativity when your team understands the goal and the process. Pair these concepts with broader initiatives with North Star Goals.

So rally your team, break the routine, and spark some innovation!

……

If you are looking for a partner in brainstorming, reach out to your Perficient account manager or use our contact form to begin a conversation.

Moments of currency change are where fortunes are made and lost. In January 2026, Bulgaria will enter one of those moments. The country will adopt the euro and officially retire the Bulgarian lev, marking a major euro adoption milestone and reshaping how investors, banks, and global firms manage currency risk in the region. The shift represents one of the most significant macroeconomic transitions in Bulgaria’s modern history and is already drawing attention across FX markets.

To understand how dramatically foreign exchange movements can shift value, consider one of the most famous examples in modern financial history. In September 1992, investor George Soros, “the man who broke the British Bank,” bet against the British pound, anticipating that the UK’s exchange rate policy would collapse. The resulting exchange rate crisis, now known as Black Wednesday, became a defining moment in forex trading and demonstrated how quickly policy decisions can trigger massive market dislocations.

By selling roughly $10 billion worth of pounds, his Quantum Fund earned ~$1 billion in profit when the currency was forced to devalue. The trade earned Soros the nickname “the man who broke the Bank of England” and remains a lasting example of how quickly confidence and capital flows can move entire currency systems.

GBP/USD exchange rate from May 1992 to April 1993, highlighting the dramatic plunge during Black Wednesday. When George Soros famously shorted the pound, forcing the UK out of the ERM and triggering one of the most significant currency crises in modern history

To be clear, Bulgaria is not in crisis. The Soros example simply underscores how consequential currency decisions can be. Even when they unfold calmly and by design, currency transitions reshape the texture of daily life. The significance of Bulgaria’s transition becomes more clear when you consider what the lev has long represented. Safety. Families relied on it through political uncertainty and economic swings, saved it for holidays, passed it down during milestones, and trusted it in moments when little else felt predictable. Over time, the lev became a source of stability as Bulgaria navigated decades of change and gradually aligned itself with the European Union..

Its retirement feels both symbolic and historic. But for global markets, currency traders, banks, and companies engaged in cross border business, the transition is not just symbolic. It introduces real operational changes that require early attention. This article explains what is happening, why it matters, and how organizations can prepare.

Some quick facts help frame the scale of this shift.

Map of Bulgaria

Bulgaria has a population of roughly 6.5 million.

The country’s GDP is about 90 billion U.S. dollars (World Bank, 2024)

Its largest trade partners are EU member states, Turkey, and China.

Why Bulgaria Is Adopting the Euro

​​Although the move from the Lev to the Euro is monumental, many Bulgarians also see it as a natural progression. ​​When Bulgaria joined the European Union in 2007, Euro adoption was always part of the long-term plan. Adopting the Euro gives Bulgaria a stronger foundation for investment, more predictable trade relationships, and smoother participation in Europe’s financial systems. It is the natural next step in a journey the country has been moving toward slowly, intentionally, and with growing confidence. That measured approach fostered public and institutional trust, leading European authorities to approve Bulgaria’s entry into the Eurozone on January 1, 2026 (European Commission, 2023; European Central Bank, 2023).

How Euro Adoption Affects Currency Markets

Bulgaria’s economy includes manufacturing, agriculture, energy, and service sectors. Its exports include refined petroleum, machinery, copper products, and apparel. It imports machinery, fuels, vehicles, and pharmaceuticals (OECD, 2024). The Euro supports smoother trade relationships within these sectors and reduces barriers for European partners.

Once Bulgaria switches to the Euro, the Lev will quietly disappear from global currency screens. Traders will no longer see familiar pairs like USD to BGN or GBP to BGN. Anything involving Bulgaria will now flow through euro-based pairs instead. In practical terms, the Lev simply stops being part of the conversation.

For people working on trading desks or in treasury teams, this creates a shift in how risk is measured day to day. Hedging strategies built around the Lev will transition to euro-based approaches. Models that once accounted for Lev-specific volatility will have to be rewritten. Automated trading programs that reference BGN pricing will need to be updated or retired. Even the market data providers that feed information into these systems will phase out Lev pricing entirely.

And while Bulgaria may be a smaller player in the global economy, the retirement of a national currency is never insignificant. It ripples through the internal workings of trading floors, risk management teams, and the systems that support them . It is a reminder that even quiet changes in one part of the world can require thoughtful adjustments across the financial landscape.

Combined with industry standard year-end code-freezes, Perficient has seen and helped clients stop their Lev trading weeks before year-end.

The Infrastructure Work Behind Adopting the Euro

Adopting the Euro is not just a change people feel sentimental about. Behind the scenes, it touches almost every system that moves money. Every financial institution uses internal currency tables to keep track of existing currencies, conversion rules, and payment routing. When a currency is retired, every system that touches money must be updated to reflect the change.

This includes:

• Core banking and treasury platforms
• Trading systems
• Accounting and ERP software
• Payment networks, including SWIFT and ISO 20022
• Internal data warehouses and regulatory reporting systems

Why Global Firms Should Pay Attention

If the Lev remains active anywhere after the transition, payments can fail, transactions can be misrouted, and reconciliation issues can occur. The Bank for International Settlements notes that currency changes require “significant operational coordination,” because risk moves across systems faster than many institutions expect. 

Beyond the technical updates, the disappearance of the Lev also carries strategic implications for multinational firms. Any organization that operates across borders, whether through supply chains, treasury centers, or shared service hubs, relies on consistent currency identifiers to keep financial data aligned. If even one system, vendor, or regional partner continues using the old code, firms can face cascading issues such as misaligned ledgers, failed hedging positions, delayed settlements, and compliance flags triggered by mismatched reporting. In a world where financial operations are deeply interconnected, a seemingly local currency change can ripple outward and affect global liquidity management and operational continuity.

Many firms have already started their transition work well in advance of the official date in order to minimize risk. In practice, this means reviewing currency tables, updating payment logic, testing cross-border workflows, and making sure SWIFT and ISO 20022 messages recognize the new structure. 

Trade Finance Will Feel the Change

For people working in finance, this shift will change the work they do every day. Tools like Letters of Credit and Banker’s Acceptances are the mechanisms that keep international trade moving, and they depend on accurate currency terms. If any of these agreements are written to settle in Lev, they will need to be updated before January 2026.

That means revising contracts, invoices, shipping documents, and long-term payment schedules. Preparing early gives exporters, importers, and the teams supporting them the chance to keep business running smoothly through the transition.

What Euro Adoption Means for Businesses

Switching to the Euro unlocks several practical benefits that go beyond finance departments.

• Lower currency conversion costs
• More consistent pricing for long-term agreements
• Faster cross-border payments within the European Union
• Improved financial reporting and reduced foreign exchange risk
• Increased investor confidence in a more stable currency environment

Because so much of Bulgaria’s trade already occurs with Eurozone countries, using the Euro simplifies business operations and strengthens economic integration.

How Organizations Can Prepare

The most important steps for institutions include:

1. Auditing systems and documents for references to BGN
2. Updating currency tables and payment rules
3. Revising Letters of Credit and other agreements that list the Lev
4. Communicating the transition timeline to partners and clients
5. Testing updated systems well before January 1, 2026

Early preparation ensures a smooth transition when Bulgaria officially adopts the Euro. Ensure that operationally you’re prepared to accept Lev payments through December 31, 2025, but given settlement timeframes, prepared to reconcile and settle Lev transactions into 2026.a

Final Thoughts

The Bulgarian Lev has accompanied the country through a century of profound change. Its retirement marks the end of an era and the beginning of a new chapter in Bulgaria’s economic story. For the global financial community, Bulgaria’s adoption of the Euro is not only symbolic but operationally significant.

Handled thoughtfully, the transition strengthens financial infrastructure, reduces friction in global business, and supports a more unified European economy.

References 

Bank for International Settlements. (2024). Foreign exchange market developments and global liquidity trends. https://www.bis.org

Eichengreen, B. (1993). European monetary unification. Journal of Economic Literature, 31(3), 1321–1357.

European Central Bank. (2023). Convergence report. https://www.ecb.europa.eu

European Commission. (2023). Economic and monetary union: Euro adoption process. https://ec.europa.eu

Henriques, D. B. (2011). The billionaire was not always so bold. The New York Times.

Organisation for Economic Co-operation and Development. (2024). Economic surveys: Bulgaria. https://www.oecd.org

World Bank. (2024). Bulgaria: Country data and economic indicators. https://data.worldbank.org/country/bulgaria

Reflecting on this year’s InsureTech Connect Conference 2025 in Las Vegas, one theme stood out above all others: the insurance industry has crossed a threshold from AI experimentation to AI expectation. With over 9,000 attendees and hundreds of sessions, the world’s largest insurance innovation gathering became a reflection of where the industry stands—and where it’s heading.

What became clear: the carriers pulling ahead aren’t just experimenting with AI—they’re deploying it with intentional discipline. AI is no longer optional, and the leaders are anchoring every investment in measurable business outcomes.

The Shift Is Here: AI in Insurance Moves from Experimentation to Expectation

This transformation isn’t happening in isolation though. Each shift represents a fundamental change in how carriers approach, deploy, and govern AI—and together, they reveal why some insurers are pulling ahead while others struggle to move beyond proof-of-concept.

Here’s what’s driving the separation:

• Agentic AI architectures that move beyond monolithic models to modular, multi-agent systems capable of autonomous reasoning and coordination across claims, underwriting, and customer engagement. Traditional models aren’t just slow—they’re competitive liabilities that can’t deliver the coordinated intelligence modern underwriting demands.
• AI-first strategies that prioritize trust, ethics, and measurable outcomes—especially in underwriting, risk assessment, and customer experience.
• A growing emphasis on data readiness and governance. The brutal reality: carriers are drowning in data while starving for intelligence. Legacy architectures can’t support the velocity AI demands.

Success In Action: Automating Insurance Quotes with Agentic AI

Why Intent Matters: Purpose-Driven AI Delivers Measurable Results

What stood out most this year was the shift from “AI for AI’s sake” to AI with purpose. Working with insurance leaders across every sector, we’ve seen the industry recognize that without clear intent—whether it’s improving claims efficiency, enhancing customer loyalty, or enabling embedded insurance—AI initiatives risk becoming costly distractions.

Conversations with leaders at ITC and other industry events reinforced this urgency. Leaders consistently emphasize that purpose-driven AI must:

• Align with business outcomes. AI enables real-time decisions, sharpens risk modeling, and delivers personalized interactions at scale. The value is undeniable: new-agent success rates increase up to 20%, premium growth boosts by 15%, customer onboarding costs reduce up to 40%.

• Be ethically grounded. Trust is a competitive differentiator—AI governance isn’t compliance theater, it’s market positioning.

• Deliver tangible value to both insurers and policyholders. From underwriting to claims, AI enables real-time decisions, sharpens risk modeling, and delivers personalized interactions at scale. Generative AI accelerates content creation, enables smarter agent support, and transforms customer engagement. Together, these capabilities thrive on modern, cloud-native platforms designed for speed and scalability.

Learn More: Improving CSR Efficiency With a GenAI Assistant

Building the AI-Powered Future: How We’re Accelerating AI in Insurance

So, how do carriers actually build this future? That’s where strategic partnerships and proven frameworks become essential.

At Perficient, we’ve made this our focus. We help clients advance AI capabilities through virtual assistants, generative interfaces, agentic frameworks, and product development, enhancing team velocity by integrating AI team members.

Through our strategic partnerships with industry-leading technology innovators—including AWS, Microsoft, Salesforce, Adobe, and more— we accelerate insurance organizations’ ability to modernize infrastructure, integrate data, and deliver intelligent experiences. Together, we shatter boundaries so you have the AI-native solutions you need to boldly advance business.

But technology alone isn’t enough. We take it even further by ensuring responsible AI governance and ethical alignment with our PACE framework—Policies, Advocacy, Controls, and Enablement—to ensure AI is not only innovative, but also rooted in trust. This approach ensures AI is deployed with purpose, aligned to business goals, and embedded with safeguards that protect consumers and organizations.

Because every day your data architecture isn’t AI-ready is a day you’re subsidizing your competitors’ advantage.

You May Also Enjoy: 3 Ways Insurers Can Lead in the Age of AI

Ready to Lead? Partner with Perficient to Accelerate Your AI Transformation

Are you building your AI capabilities at the speed the market demands?

From insight to impact, our insurance expertise helps leaders modernize, personalize, and scale operations. We power AI-first transformation that enhances underwriting, streamlines claims, and builds lasting customer trust.

• Business Transformation: Activate strategy and innovation ​within the insurance ecosystem.​
• Modernization: Optimize technology to boost agility and ​efficiency across the value chain.​
• Data + Analytics: Power insights and accelerate ​underwriting and claims decision-making.​
• Customer Experience: Ease and personalize experiences ​for policyholders and producers.​

We are trusted by leading technology partners and consistently mentioned by analysts. Discover why we have been trusted by 13 of the 20 largest P&C firms and 11 of the 20 largest annuity carriers. Explore our insurance expertise and contact us to learn more.

Financial institutions are at a pivotal moment. As customer expectations evolve and AI reshapes digital engagement, leaders in marketing, CX, and IT must rethink how they deliver value.

Adobe’s report, “State of Customer Experience in Financial Services in an AI-Driven World,” reveals that only 36% of the customer journey is currently personalized, despite 74% of executives acknowledging rising customer expectations. With transformation already underway, financial leaders face five imperatives that demand immediate action to drive relevance, trust, and growth.

1. Make Personalization More Meaningful

Personalization has long been a strategic focus, but today’s consumers expect more than basic segmentation or name-based greetings. They want real-time, omnichannel interactions that align with their financial goals, life stages, and behaviors.

To meet this demand, financial institutions must evolve from reactive personalization to predictive, intent-driven engagement. This means leveraging AI to anticipate needs, orchestrate journeys, and deliver content that resonates with individual context.

Perficient Adobe-consulting principal Ross Monaghan explains, “We are still dealing with disparate data and slow progression into a customer 360 source of truth view to provide effective personalization at scale. What many firms are overlooking is that this isn’t just a data issue. We’re dealing with both a people and process issue where teams need to adjust their operational process of typical campaign waterfall execution to trigger-based and journey personalization.”

His point underscores that personalization challenges go beyond technology. They require cultural and operational shifts to enable real-time, AI-driven engagement.

2. Redesign the Operating Model Around the Customer

Legacy structures often silo marketing, IT, and operations, creating friction in delivering cohesive customer experiences. To compete in a digital-first world, financial institutions must reorient their operating models around the customer, not the org chart.

This shift requires cross-functional collaboration, agile workflows, and shared KPIs that align teams around customer outcomes. It also demands a culture that embraces experimentation and continuous improvement.

Only 3% of financial services firms are structured around the customer journey, though 19% say it should be the ideal.

3. Build Content for AI-Powered Search

As AI-powered search becomes a primary interface for information discovery, the way content is created and structured must change. Traditional SEO strategies are no longer enough.

Customers now expect intelligent, personalized answers over static search results. To stay visible and trusted, financial institutions must create structured, metadata-rich content that performs in AI-powered environments. Content must reflect experience-expertise-authoritativeness-trustworthiness principles and be both machine-readable and human-relevant. Success depends on building discovery journeys that work across AI interfaces while earning customer confidence in moments that matter.

4. Unify Data and Platforms for Scalable Intelligence

Disconnected data and fragmented platforms limit the ability to generate insights and act on them at scale. To unlock the full potential of AI and automation, financial institutions must unify their data ecosystems.

This means integrating customer, behavioral, transactional, and operational data into a single source of truth that’s accessible across teams and systems. It also involves modernizing MarTech and CX platforms to support real-time decisioning and personalization.

But Ross points out, “Many digital experience and marketing platforms still want to own all data, which is just not realistic, both in reality and cost. The firms that develop their customer source of truth (typically cloud-based data platforms) and signal to other experience or service platforms will be the quickest to marketing execution maturity and success.”

His insight emphasizes that success depends not only on technology integration but also on adopting a federated approach that accelerates marketing execution and operational maturity.

5. Embed Guardrails Into GenAI Execution

As financial institutions explore GenAI use cases, from content generation to customer service automation, governance must be built in from the start. Trust is non-negotiable in financial services, and GenAI introduces new risks around accuracy, bias, and compliance.

Embedding guardrails means establishing clear policies, human-in-the-loop review processes, and robust monitoring systems. It also requires collaboration between legal, compliance, marketing, and IT to ensure responsible innovation.

At Perficient, we use our PACE (Policies, Advocacy, Controls, Enablement) Framework to holistically design tailored operational AI programs that empower business and technical stakeholders to innovate with confidence while mitigating risks and upholding ethical standards.

The Time to Lead is Now

The future of financial services will be defined by how intelligently and responsibly institutions engage in real time. These five imperatives offer a blueprint for action, each one grounded in data, urgency, and opportunity. Leaders who move now will be best positioned to earn trust, drive growth, and lead in the AI-powered era.

Learn About Perficient and Adobe’s Partnership

Are you looking for a partner to help you transform and modernize your technology strategy? Perficient and Adobe bring together deep industry expertise and powerful experience technologies to help financial institutions unify data, orchestrate journeys, and deliver customer-centric experiences that build trust and drive growth.

Get in Touch With Our Experts

We’ve all been there. Parents rushing out the door yelling, “Time to go!” Everyone piles into the car only to realize one kid forgot their jacket and the other never combed their hair. Frustrating! But where you feel frustration lies opportunity. An opportunity to communicate better by being explicit with our desires instead of implicit.

The same thing happens at work. You’re in a meeting and the key stakeholder says, “We should really do this thing better.” Sounds like action, right? But it is not! “we should” is a slippery slope because no one owns it. It sounds like progress, but it’s really just wishful thinking.

Implicit Statements

People, and even entire cultures, communicate in different ways. Some people are extroverted, others introverted. Where some are playful, others are serious.

While it’s far from universal, most people I’ve worked with lean toward implicit communication, especially in verbal conversations. And this is a problem. Implicit statements create confusion in projects, relationships, and life – regardless of your natural tendencies.

Many assume that being explicit sounds bossy or demanding. In reality, explicit communication isn’t controlling, it’s clarifying!

Why Implicit Communication Fails

Consider a statement like: “We need to do better at communicating.” Sounds clear and to the point, right? But it’s not. It certainly is short, polite, feels collaborative, and suggests improvement. But let’s break it down:

• “we” = Undefined responsibility. It sounds like teamwork, which is great in theory, but once the meeting ends, each person assumes “we” means someone else.
• “need to” = Wishful thinking. Why do we need to? What happens if we don’t? What if it takes a year or two?
• “do better” = Lack of expectation. People don’t share the same mental model. One person thinks 10% better, another imagines 10x better. And then there’s that one guy who thinks, “We’re fine. No changes needed.”
• “at communicating” = Vague. Are we talking about meetings? What about in emails? Or maybe they mean documentation, or work item ticket comments. What exactly isn’t working well right now?

Implicit language feels soft and nice, but it leaves too much room for interpretation and disconnect.

Explicit Directions

I earned my Eagle Scout rank when I was 16 years old. Those lessons have stuck with me through the years, and now that I’m a parent I’m relearning them as my kids go through Scouting. Recently, I sat in on a First Aid merit badge class with my youngest son, and the difference between implicit and explicit communication was made abundantly clear.

Picture an accident scene. A take-charge bystander shouts, “Someone call 911!” This sounds urgent, but it’s dangerously vague. Who is “someone”? Each second after an accident is critical, where uncertainty can cost lives. What if a dozen people nearby end up calling 911 at once? This is not good.

Instead, emergency preparedness training teaches us to be specific: “Sam, call 911!” Or, if you don’t know their name, point to them, make eye contact, even touch their shoulder and say, “You need to call 911!” Explicit directions save time, prevent confusion, and get results.

Why Explicit Communication Succeeds

Explicit communication gets things done. If tasks aren’t clearly assigned, nothing happens. That’s why project managers use RACI charts. These spell out who’s responsible and accountable, as well as who should be consulted and informed.

Being explicit creates a shared vision, prevents rework, and shortens timelines. When you leave details up to interpretation, someone will spend days perfecting something you didn’t want. We’ve all been there: you follow vague direction, deliver what you think is perfect, and then redo everything because expectations weren’t aligned.

Clear expectations reduce frustration. When two parties are upset, it’s almost always because something was left unsaid earlier. Even the smallest misunderstanding can spiral into an emotional mess.

6 Practical Communication Tips

1. Replace Vague Language – Be specific and targeted. Instead of, “We should update the deck.” Say, “Tara, update the deck with our new capabilities slides by end of day Thursday.”
2. Assign Ownership – Make it clear who is responsible. Example: “Alex, we need you to take lead on this.”
3. Include Timeframes – Set expectation or urgency. Instead of, “We need to have this ASAP.” Try, “Jane, at the very latest we need a final draft by noon on Tuesday. Sooner is better.”
4. Provide Context – Explain the “why” for relevance. Example: “Bill, the new component has to be built and tested by end of month so that it can be in production ahead of the new regulations taking affect.”
5. Confirm Understanding – Restate the desire and align. Instead of, “Abbey tells us that she’ll need 40 hours for this.” Rephrase it for confirmation like, “Abbey, you said you need 40 hours for this, so I think that means you need a week, right?”
6. Reiterate Assignments & Next Steps – End communications with a concise action plan. Example: “Next steps will be Todd getting legal approval by end of week, and then Sarah getting VP signatures by next Wednesday.”

Conclusion

Be clear. Be concise. Be explicit.

People aren’t mind readers! Drop the belief that being direct is a negative personality trait. It’s not bossy, it’s simply good communication.

Even if you’re emailing someone who “gets it,” think about what happens if that email is forwarded to someone else. Will the next person understand what you mean? Explicit communication isn’t just for now, it’s for anyone who might read it or hear it later.

Your Homework: Reach out today to that friend that always says, “We should do lunch sometime,” but you never do. This time, be explicit:

“Hey, do you have time for lunch in the next couple weeks?”

Bonus Points: Be intentional with it. Schedule your priorities.

“Would you be opposed to me putting a recurring monthly lunch on your calendar?”

……

If you are looking for a partner who can be explicit and get things done, reach out to your Perficient account manager or use our contact form to begin a conversation.

The days of measuring marketing success by impressions and engagement are over, especially in financial services. Today, marketing leaders are being asked to do more than build brand awareness. They’re expected to drive top-line growth. 

According to Adobe’s report, “State of Customer Experience in Financial Services in an AI-Driven World,” 90% of financial services marketing leaders say they’re now expected to directly contribute to revenue. And 96% are being asked to become more efficient while doing so. 

This new mandate requires not only a change in metrics but a mindset transformation as well. 

Marketing is Now a Growth Engine

Modern financial institutions are retooling their marketing functions to prioritize: 

• Pipeline creation 

• Product adoption 

• Customer lifetime value

Campaigns are no longer judged by vanity KPIs. Success is measured by conversion lift, wallet share, and ROI. That means marketing must operate with the same precision and accountability as sales and finance. 

Performance-Driven Marketing Requires New Infrastructure

To meet these expectations, marketing teams need: 

• Attribution models that tie spend to outcomes 

• Automation platforms that enable real-time optimization 

• Journey tracking that connects every touchpoint to business impact 

Along with the right tools, financial services marketers will also need to build a culture of continuous improvement and commercial fluency. 

Business Fluency is the New Financial Services Marketing Skillset

To lead in this environment, marketers must speak the language of finance. That means understanding: 

• Unit economics 

• Acquisition cost 

• Profitability metrics 

Winning teams are breaking down silos between marketing, sales, and product to drive aligned, data-informed execution. Financial services marketing is moving beyond a support function to a strategic partner in growth. 

Precision, Accountability, and Impact

By embracing data-driven strategies, building the right infrastructure, and fostering commercial fluency, marketing teams can move from a support function to a strategic driver of revenue. The organizations that succeed will be those that align marketing with business outcomes and lead with precision, accountability, and agility. 

Download the full Adobe report to learn more about the top insights shaping financial services marketing and the industry as a whole. 

How Perficient and Adobe Help Financial Services Marketers Lead

We help financial services firms modernize their marketing operations from journey orchestration to performance measurement. Together with Adobe, we’re enabling marketing teams to become growth architects, not just brand custodians. 

Let’s connect and uncover new ways to drive measurable impact together.

What developers need to know about the architectural changes that launched on November 10th

Last week at Sitecore Symposium 2025 was one of those rare industry events that reminded me why this community is so special. I got to reconnect with former colleagues I hadn’t seen in years, finally meet current team members face-to-face who had only been voices on video calls, and form genuine new relationships with peers across the ecosystem. Beyond the professional connections, we spent time with current customers and had fascinating conversations with potential new ones about their challenges and aspirations. And let’s be honest—the epic Universal Studios party that capped off the event didn’t hurt either.

Now that we’re settling back into routine work, it’s time to unpack everything that was announced. The best part? As of today, November 10th, it’s all live. When you log into the platform, you can see and experience everything that was demonstrated on stage.

After a decade of Sitecore development, I’ve learned to separate marketing announcements from actual technical changes. This one’s different: SitecoreAI represents a genuine architectural shift toward AI-first design that changes how we approach development.

Here’s what developers need to know about the platform evolution that launched today.

Architecture Changes That Matter

Cloud-Native Foundation with New Deployment Model

SitecoreAI maintains XM Cloud’s Azure-hosted foundation while introducing four connected environments:

• Agentic Studio – where marketers and AI collaborate to plan, create, and personalize experiences
• App Studio – dedicated space for custom application development
• Sitecore Connect – for integrations
• Marketplace – for sharing and discovering solutions

If you’re already on XM Cloud, your existing implementations transition without breaking changes. That’s genuinely good news—no major refactoring required. The platform adds enhanced governance with enterprise deployment controls without sacrificing the SaaS agility we’ve come to expect. There’s also a dedicated App Studio environment specifically for custom application development.

The entire platform is API-first, with RESTful APIs for all platform functions, including AI agent interaction. The key difference from traditional on-premises complexity is that you get cloud-native scaling with enterprise-grade governance built right in.

Unified Architecture vs. Integration Complexity

The biggest architectural change is having unified content, customer data, personalization, and AI in a single platform. This fundamentally changes how we think about integrations.

Instead of connecting separate CMS, CDP, personalization, and AI tools, everything operates within one data model. Your external system integrations change from multi-platform orchestration to single API framework connections. There are trade-offs here—you gain architectural simplicity but need to evaluate vendor lock-in versus best-of-breed flexibility for your specific requirements.

The Development Paradigm Shift: AI Agents

The most significant change for developers is the introduction of autonomous AI agents as a platform primitive. They’ve gone ahead and built this functionality right into the platform, so we’re not trying to bolt it on as an addon. This feels like it’s going to be big.

What AI Agents Mean for Developers

AI agents operate within the platform to handle marketing workflows autonomously—content generation, A/B testing, personalization optimization. They’re not replacing custom code; they’re handling repeatable marketing tasks.

As developers, our responsibilities shift to designing the underlying data models that agents consume, creating integration patterns for agent-external system interactions, building governance frameworks that define agent operational boundaries, and handling complex customizations that exceed agent capabilities.

Marketers can configure basic agents without developer involvement, but custom data models, security frameworks, and complex integrations still require development expertise. So our role evolves rather than disappears.

New Skillset Requirements

Working with AI agents requires understanding several new concepts. You need to know how to design secure, compliant boundaries for agent operations and governed AI frameworks. You’ll also need to structure data so agents can operate effectively, understand how agents learn and improve from configuration and usage, and know when to use agents versus traditional custom development.

This combines traditional technical architecture with AI workflow design.  A new skillset that bridges development and intelligent automation.

Migration Path from XM Cloud

What “Seamless Transition” Actually Means

For XM Cloud customers, the upgrade path is genuinely straightforward. There are no breaking changes.  Existing customizations, integrations, and content work without modification. AI capabilities layer on top of current functionality, and the transition can happen immediately.  When you log in today it’ll all be there waiting for you, no actions needed.

Legacy Platform Migrations

For developers migrating from older Sitecore implementations or other platforms, SitecoreAI provides SitecoreAI Pathway tooling that claims 70% faster migration timelines. The tooling includes automated content conversion with intelligent mapping of existing content structures, schema translation with automated data model conversion and manual review points, and workflow recreation tools to either replicate existing processes or redesign them with AI agent capabilities.

Migration Planning Approach

Based on what I’ve seen, successful migrations follow a clear pattern. Start with an assessment phase to catalog existing customizations, integrations, and workflows. Then make strategy decisions about whether to replicate each component exactly or reimagine it with AI agents. Use a phased implementation that starts with core functionality and gradually add AI-enhanced workflows. Don’t forget team training to educate developers on agent architecture and governance patterns.

The key architectural question becomes: which processes should remain as traditional custom code versus be reimagined as AI agent workflows?

Integration Strategy Considerations

API Framework and Connectivity

SitecoreAI’s unified architecture changes integration patterns significantly. You get native ecosystem integration with direct connectivity to Sitecore XP, Search, CDP, and Personalize without separate integration layers. Third-party integration happens through a single API framework with webhook support for real-time external system connectivity. Authentication is unified across all platform functions.

Data Flow Changes

The unified customer data model affects how you architect integrations. You now have a single customer profile across content, behavior, and AI operations. Real-time data synchronization happens without ETL complexity, and there’s centralized data governance for AI agent operations.

One important note: existing integrations that rely on separate CDP or personalization APIs may need updates to leverage the unified data model.

What This Means for Your Development Team

Immediate Action Items

If you’re currently on XM Cloud, start by documenting your existing custom components for compatibility assessment. Review your integrations to evaluate which external system connections could benefit from unified architecture. Look for repetitive marketing workflows that could be handled by agents.

If you’re planning a migration, use this as an opportunity to modernize rather than just lift-and-shift. Evaluate whether SitecoreAI Pathway’s claimed time savings match your migration complexity. Factor in the learning curve for AI agent architecture when planning team skills development.

Skills to Develop

You’ll want to focus on AI workflow design and understand how to structure processes for agent automation. Learn about building secure, compliant boundaries for autonomous operations. Get comfortable designing for a single customer data model versus traditional integration patterns. Become proficient working in the five-environment Studio model.

Developer’s Bottom Line

For XM Cloud developers, this is evolutionary, not revolutionary. Your existing skills remain relevant while the platform adds AI agent capabilities that reduce routine customization work.

For legacy Sitecore developers, the migration path provides an opportunity to modernize architecture while gaining AI automation capabilities but requires learning cloud-native development patterns.

The strategic shift is clear: development work shifts from building everything custom to designing frameworks where AI agents can operate effectively. You’re architecting for intelligent automation, not just content management.

The platform launched today. For developers, the key question isn’t whether AI will change digital platforms, it’s whether you want to learn agent-based architecture now or catch up later.  The future is here and I’m for it.

Coming Up: I’ll be writing follow-up posts on AI agent development patterns, integration architecture deep dives, and migration playbooks.

In today’s AI activated world, there are ample number of AI related tools that organizations can use to tackle diverse business challenges. In line with this, Amazon has it’s set of Amazon Web Services for AI and ML, to address the real-world needs.

This blog provides details on AWS services, but by understanding this writeup you can also get to know how AI and ML capabilities can be used to address various business challenges. To illustrate how these services can be leveraged, I have used a few simple and straightforward use cases and mapped the AWS solutions to them.

AI Use Cases : Using AWS Services

1. Employee On boarding process

Any employee onboarding process has its own challenges which can be improved by better information discovery, shortening the onboarding timelines, providing more flexibility to the new hire, option for learning and re-visiting the learning multiple times and enhancing both the security and personalization of the induction experience.

Using natural language queries, the AWS AI service – Amazon Kendra, enables new hires to easily find HR manuals, IT instructions, leave policies, and company guidelines, without needing to know exact file names or bookmark multiple URLs.

Amazon Kendra uses Semantic Search which understands the user’s intent and contextual meaning. Semantic search relies on Vector embeddings, Vector search, Pattern matching and Natural Language Processing.

Real-time data retrieval through Retrieval-augmented Generation (RAG) in Amazon Kendra empowers employees to access up-to-date content securely and efficiently.

Following are examples of few prompts a new hire can use to retrieve information:

• How can I access my email on my laptop and on my phone.
• How do I contact the IT support.
• How can I apply for a leave and who do I reach out to for approvals.
• How do I submit my timesheet.
• Where can I find the company training portal.
• ….etcetera.

Data Security

To protect organizational data and ensure compliance with enterprise security standards, Amazon Kendra supports robust data security measures, including encryption in transit and at rest, and seamless integration with AWS Identity and Access Management (IAM).

Role-based access ensures that sensitive information is only visible to authorized personnel.

Thus, in the Onboarding process, the HR team can provide the personalized touch, and the AI agent ensures the employees have easy, anytime access to the right information throughout their on-boarding journey.

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2. Healthcare: Unlocking Insights from Unstructured Clinical Data

Healthcare providers always need to extract critical patient information and support timely decision-making. They face the challenge of rapidly analyzing vast amounts of unstructured medical records, such as physician notes, discharge summaries, and clinical reports.

From a data perspective two key features are required, namely, Entity Recognition and Attribute detection. Medical entities include symptoms, medications, diagnoses, and treatment plans. Similarly Attribute detection includes identifying the dosage, frequency and severity associated with these entities.

Amazon provides the service, Amazon Comprehend Medical which uses NLP and ML models for extracting such information from unstructured data available with healthcare organizations.

One of the crucial aspects in healthcare is to handle Security and compliance related to patient’s health data. AWS has Amazon Macie as a security related service which employs machine learning & pattern matching to discover, classify, and protect Protected Health Information (PHI) within Amazon S3 bucket. Such a service helps organizations maintain HIPAA compliance through automated data governance.

3. Enterprise data insights

Any large enterprise has data spread across various tools like SharePoint, Salesforce, Leave management portals or some accounting applications.

From these data sets, executives can extract great insights, evaluate what-if scenarios, check on some key performance indicators, and utilize all this for decision making.

We can use AWS AI service, Amazon Q business for this very purpose using various plugins, connectors to DBs, and Retrieval Augmented Generation for up-to-date information.

The user can use natural language to query the system and Amazon Q performs Semantic search to return back contextually appropriate information. It also uses Knowledge Grounding which eventually helps in providing accurate answers not relying solely on training data sets.

To ensure that AI-generated responses adhere strictly to approved enterprise protocols, provide accurate and relevant information, we can define built-in guardrails within Amazon Q, such as Global Controls and Topic blocking.

4. Retail company use cases

a) Reading receipts and invoices

The company wants to automate the financial auditing process. In order to achieve this we can use Amazon Textract to read receipts and invoices as it uses machine learning algorithms to accurately identify and extract key information like product names, prices, and reviews.

b) Analyse customer purchasing patterns

The company intends to analyse customer purchasing patterns to predict future sales trends from their large datasets of historical sales data. For these analyses the company wants to build, train, and deploy machine learning models quickly and efficiently.

Amazon SageMaker is the ideal service for such a development.

c) Customer support Bot

The firm receives thousands of customer calls daily. In order to smoothen the process, the firm is looking to create a conversational AI bot which can take text inputs and voice commands.

We can use Amazon Bedrock to create a custom AI application from a dataset of ready to use Foundation models. These models can process large volumes of customer data, generate personalized responses and integrate with other AWS services like Amazon SageMaker for additional processing and analytics.

We can use Amazon Lex to create the bot, and Amazon Polly for text to speech purposes.

d) Image analyses

The company might want to identify and categorize their products based on the images uploaded. To implement this, we can use Amazon S3 and Amazon Rekognition to analyze images as soon as the new product image is uploaded into the storage service.

AWS Services for Compliance & Regulations

AWS Services for Compliance & Regulations

In order to manage complex customer requirements and handling large volumes of sensitive data it becomes essential for us to adhere to various regulations.

Key AWS services supporting these compliance and governance needs include:

1. AWS Config
   Continuously monitors and records resource configurations to help assess compliance.
2. AWS Artifact
   Centralized repository for on-demand access to AWS compliance reports and agreements.
3. AWS CloudTrail
   Logs and tracks all user activity and API calls within your AWS environment for audit purposes.
4. AWS Inspector
   Automated security assessment service that identifies vulnerabilities and deviations from best practices.
5. AWS Audit Manager
   Simplifies audit preparation by automating evidence collection and compliance reporting.
6. AWS Trusted Advisor
   Provides real-time recommendations to optimize security, performance, and cost efficiency.

Security and Privacy risks: Vulnerabilities in LLMs

Vulnerabilities in LLMs

While dealing with LLMs there are ways available to attack the prompts, however there are various safeguards also against them. Keeping in view the attacks I am noting down some vulnerabilities which are useful to understand the risks around your LLMs.

Can you co-relate the above use cases with any of your challenges at hand? Have you been able to use any of the AWS services or other AI platforms for dealing with such challenges?

References:

https://aws.amazon.com/ai/services/
https://www.udemy.com/share/10bvuD/