In this episode of “What If? So What?”, Jim Hertzfeld sits down with Wally Burchfield, former senior executive at GM, Nissan, and Nissan United, to explore what’s driving transformation in the automotive industry and beyond. 

 Wally’s perspective is clear: in a world obsessed with automation and data, the companies that win will be the ones that stay human. 

 From “Build and Sell” to “Know and Serve” 

 The old model was simple: build a car, sell a car, repeat. But as Wally explains it, that formula no longer works in a world where customer expectations are shaped by digital platforms and instant personalization. “It’s not just about selling a product,” he said. “It’s about retaining the customer through a high-quality experience one that feels personal, respectful, and effortless.” Every interaction matters, and every brand is in the experience business. 

 Data Alone Doesn’t Build Loyalty – Trust Does 

 It’s true that organizations have more data than ever before. But as Wally points out, it’s not how much data you have, it’s what you do with it. The real differentiator is how responsibly, transparently, and effectively you use that data to improve the customer experience. 

 “You can have a truckload of data but if it doesn’t help you deliver value or build trust, it’s wasted,” Wally said. 

 When used carelessly, data can feel manipulative. When used well, it creates clarity, relevance, and long-term relationships. 

 AI Should Remove Friction, Not Feeling 

 Wally’s take on AI is refreshingly grounded. He sees it as a tool to reduce friction, not replace human connection. Whether it’s scheduling service appointments via SMS or filtering billions of digital signals, the best AI is invisible, working quietly in the background to make the customer feel understood. 

 Want to Win? Listen Better and Faster 

 At the end of the day, the brands that thrive won’t be the ones with the biggest data sets; they’re the ones that move fast, use data responsibly, and never lose sight of the customer at the center. 

 Listen to the full conversation with Wally Burchfield for more on how trust, data, and AI can work together to build lasting customer relationships—and why the best strategies are still the most human. 

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Meet our Guest – Wally Burchfield

Wally Burchfield is a veteran automotive executive with deep experience across retail, OEM operations, marketing, aftersales, dealer networks, and HR. 

He spent 20 years at General Motors before joining Nissan, where he held multiple VP roles across regional operations, aftersales, and HR. He later served as COO of Nissan United (TBWA), leading Tier 2/3 advertising and field marketing programs to support dealer and field team performance. Today, Wally runs a successful consulting practice helping OEMs, partners, and dealer groups solve complex challenges and drive results. A true “dealer guy”, he’s passionate about improving customer experience, strengthening OEM-dealer partnerships, and challenging the status quo to unlock growth. 

Follow Wally on LinkedIn  

Learn More about Wally Burchfield

Meet our Host

Jim Hertzfeld is Area Vice President, Strategy for Perficient.

For over two decades, he has worked with clients to convert market insights into real-world digital products and customer experiences that actually grow their business. More than just a strategist, Jim is a pragmatic rebel known for challenging the conventional and turning grand visions into actionable steps. His candid demeanor, sprinkled with a dose of cynical optimism, shapes a narrative that challenges and inspires listeners.

Connect with Jim:

LinkedIn | Perficient

The headlines are troubling but predictable. The Trump administration will launch a program next year to find out how much money an artificial intelligence algorithm could save the federal government by denying care to Medicare patients. Meanwhile, a survey of physicians published by the American Medical Association in February found that 61% think AI is “increasing prior authorization denials, exacerbating avoidable patient harms and escalating unnecessary waste now and into the future.”

We’re witnessing the healthcare industry’s narrow vision of AI in action: algorithms designed to say “no” faster and more efficiently than ever before. But what if we’re missing the bigger opportunity?

The Current AI Problem: Built to Deny, Not to Help

The recent expansion of AI-powered prior authorization reveals a fundamental flaw in how we’re approaching healthcare technology. “The more expensive it is, the more likely it is to be denied,” said Jennifer Oliva, a professor at the Maurer School of Law at Indiana University-Bloomington, whose work focuses on AI regulation and health coverage.

This approach creates a vicious cycle: patients don’t understand their benefits, seek inappropriate or unnecessary care, trigger costly prior authorization processes, face denials, appeal those denials, and ultimately either give up or create even more administrative burden for everyone involved.

The human cost is real. Nearly three-quarters of respondents thought prior authorization was a “major” problem in a July poll published by KFF, and we’ve seen how public displeasure with insurance denials dominated the news in December, when the shooting death of UnitedHealthcare’s CEO led many to anoint his alleged killer as a folk hero.

A Better Vision: The AI Concierge Approach

What if instead of using AI to deny care more efficiently, we used it to help patients access the right care more effectively? This is where the AI Concierge concept transforms the entire equation.

An AI Concierge doesn’t wait for a claim to be submitted to make a decision. Instead, it proactively:

• Educates patients about their benefits before they need care
• Guides them to appropriate providers within their network
• Explains coverage limitations in plain language before appointments
• Suggests preventive alternatives that could avoid more expensive interventions
• Streamlines pre-authorization by ensuring patients have the right documentation upfront

The Quantified Business Case

The financial argument for AI Concierge services is compelling:

Star Ratings Revenue Impact: A half-star increase in Medicare Star Ratings is valued at approximately $500 per member. For a 75,000-member plan, that translates to $37.5 million in additional funding. An AI Concierge directly improves patient satisfaction scores that drive these ratings.

Operational Efficiency Gains: Healthcare providers implementing AI-powered patient engagement systems report 15-20% boosts in clinic revenue and 10-20% reductions in overall operational costs. Clinics using AI tools see 15-25% increases in patient retention rates.

Cost Avoidance Through Prevention: Utilizing AI to help patients access appropriate care could save up to 50% on treatment costs while improving health outcomes by up to 40%. This happens by preventing more expensive interventions through proper preventive care utilization.

The HEDIS Connection

HEDIS measures provide the perfect framework for demonstrating AI Concierge value. With 235 million people enrolled in plans that report HEDIS results, improving these scores directly impacts revenue through bonus payments and competitive positioning.

An AI Concierge naturally improves HEDIS performance in:

• Preventive Care Measures: Proactive guidance increases screening and immunization rates
• Care Gap Closure: Identifies and addresses gaps before they become expensive problems
• Patient Engagement: Improves medication adherence and chronic disease management

Beyond the Pilot Programs

While government initiatives like the WISeR pilot program focus on “Wasteful and Inappropriate Service Reduction” through AI-powered denials, forward-thinking healthcare organizations have an opportunity to differentiate themselves with AI-powered patient empowerment.

The math is simple: preventing a $50,000 hospitalization through proactive care coordination delivers better ROI than efficiently denying the claim after it’s submitted.

AI Healthcare Concierge Implementation Strategy

For healthcare leaders considering AI Concierge implementation:

• Phase 1: Deploy AI-powered benefit explanation tools that reduce call center volume and improve patient understanding
• Phase 2: Integrate predictive analytics to identify patients at risk for expensive interventions and guide them to preventive alternatives
• Phase 3: Expand to comprehensive care navigation that optimizes both patient outcomes and organizational performance

The Competitive Advantage

While competitors invest in AI to process denials faster, organizations implementing AI Concierge services are investing in:

• Member satisfaction and retention (15-25% improvement rates)
• Star rating improvements ($500 per member value per half-star)
• Operational cost reduction (10-20% typical savings)
• Revenue protection through better member experience

Conclusion: Choose Your AI Future

The current trajectory of AI in healthcare—focused on denial optimization—represents a massive missed opportunity. As one physician noted about the Medicare pilot: “I will always, always err on the side that doctors know what’s best for their patients.”

AI Healthcare Concierge services align with this principle by empowering both patients and providers with better information, earlier intervention, and more effective care coordination. The technology exists. The business case is proven. The patient need is urgent.

The question isn’t whether AI will transform healthcare—it’s whether we’ll use it to build walls or bridges between patients and the care they need.

The choice is ours. Let’s choose wisely.

For years, insurers have experimented with digital initiatives, but the pace of disruption has accelerated. Legacy models can’t keep up with rising risks, evolving customer expectations, and operational pressures. The question isn’t whether insurers will transform, but rather how fast they can adapt.

Technologies like AI, advanced analytics, and embedded solutions have moved from emerging concepts to essential capabilities for competitive advantage. Earlier this year, we highlighted these opportunities in our Top 5 Digital Trends for Insurance.

As we gear up for the world’s largest event for insurance innovation in October, InsureTech Connect (ITC) Vegas, it’s clear these trends are driving the conversations that matter most. Hear from industry experts Brian Bell and Conall Chabrunn on why this moment is so transformative.

“ITC is a great opportunity to explore the latest innovations shaping the future of insurance and see how insurers are leveraging AI across the value chain—from underwriting to claims and customer engagement.” – Brian Bell, Principal

Here’s a closer look at three AI trends that are leading the way, at ITC and beyond.

1. Make AI Your Growth Engine

Artificial intelligence is a core enabler of insurance innovation. It’s powering efficiency and elevating customer experiences across the value chain. From underwriting to claims, AI enables real-time decisions, sharpens risk modeling, and delivers personalized interactions at scale. Generative AI builds on this foundation by accelerating content creation, enabling smarter agent support, and transforming customer engagement. Together, these capabilities thrive on modern, cloud-native platforms designed for speed and scalability.

Why Leaders Should Act Now:

AI creates value when it’s embedded in workflows. Focus on the high-impact domains that accelerate outcomes: underwriting, claims, and distribution. Research shows early AI adopters are already seeing measurable results:

• New-agent success and sales conversion rates increased up to 20%
• Premium growth boosted by as much as 15%
• New customer onboarding costs reduced up to 40%

“Ironically, AI has been the hottest topic at ITC the last three years. This year, the playing field has truly changed. Perficient’s AI product partners will be on full display, and we are excited to show our customers how we can enhance and optimize them for real world performance.” – Conall Chabrunn, Head of Sales – Insurance

We help clients advance AI capabilities through virtual assistants, generative interfaces, agentic frameworks, and product development, enhancing team velocity by integrating AI team members.

Read More: Empowering the Modern Insurance Agent

2. Personalize Every Moment

Today’s policyholders expect the same level of personalization they receive from other industries like retail and streaming platforms. By leveraging AI and advanced analytics, insurers can move beyond broad segments to anticipate needs, remove friction, and tailor products and pricing in the moments that matter.

Forbes highlights three key pillars of modern personalization critical for insurers aiming to deliver tailored experiences: data, intent signals, and artificial intelligence. At ITC, these principles are front and center as insurers explore how to meet expectations and unlock new revenue streams, without adding complexity.

Why Leaders Should Act Now:

Personalization isn’t just about customer experience—it’s a growth strategy. Research shows over 70% of consumers expect personalized interactions, and more than three-quarters feel frustrated when they don’t get them. Insurers that utilize AI to anticipate needs and simplify choices can earn trust and loyalty faster than those who don’t.

Success In Action: Proving Rapid Value and Creating Better Member Experiences

3. Meet Customers at the Point of Need

Embedded insurance is moving into everyday moments, and research shows it’s on a massive growth trajectory. Global P&C embedded sales are projected to reach as high as $700 billion by 2030, including $70 billion in the U.S. alone. By meeting customers where decisions happen, carriers can create seamless experiences, new revenue streams, and stronger brand visibility—while offering convenience, transparency, and choice.

Insurers that embrace ecosystems will expand their reach and relevance as consumer expectations and engagement continually shift. Agencies will continue to play a critical role in navigating difficult underwriting conditions by tailoring policy coverages and providing transparency, which requires that they have access to modern sales and servicing tools. It’s a prominent theme that’s echoed throughout ITC sessions this year.

Why Leaders Should Act Now:

AI amplifies embedded strategies by enabling real-time pricing, risk assessment, and personalized offers within those touchpoints. What matters most is making the “yes” simple: clear options, plain language, and confidence about what’s covered. Together, embedded ecosystems and AI-driven insights help insurers deliver relevance at scale when and where consumers need it.

“Perficient stands apart in the AI consulting landscape because every decision we make ties back to industry-specific use cases and measurable success criteria. We complement our technology partners by bringing deep industry expertise to ensure solutions deliver real-world impact.” – Conall Chabrunn, Head of Sales – Insurance

You May Also Enjoy: Commerce Experiences and the Rise of Digital-First Insurance

Lead the Insurance Evolution With AI-First Transformation

The insurance industry is entering uncharted territory. Those who act decisively and swiftly to leverage AI, embrace embedded ecosystems, and personalize every moment will lead the curve in the next era of insurance.

As the industry gathers at events like ITC Vegas, these conversations come to life. Expect AI to be the common thread across underwriting, claims, distribution, and customer experience.

“There’s never been a more transformative time in insurance, and ITC is the perfect place to be part of the conversation.” – Brian Bell, Principal

If you’re attending ITC at Mandalay Bay in October, schedule a meeting with our team to explore how we help insurers turn disruption into opportunity.

Carriers and brokers count on us to help modernize, innovate, and win in an increasingly competitive marketplace. Our solutions power personalized omnichannel experiences and optimize performance across the enterprise.

• 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.

We’re proud to share that Perficient’s What If? So What? podcast has been named a Gold Stevie® Award winner in the Technology Podcast category at the 22nd Annual International Business Awards®. These awards are among the world’s top honors for business achievement, celebrating innovation, impact, and excellence across industries.

Winners were selected by more than 250 executives worldwide, whose feedback praised the podcast’s ability to translate complex digital trends into practical, high-impact strategies for business and technology leaders.

Hosted by Jim Hertzfeld, Perficient’s AVP of Strategy, the podcast explores the business impact of digital transformation, AI, and disruption. With guests like Mark Cuban, Neil Hoyne (Google), May Habib (WRITER), Brian Solis (ServiceNow), and Chris Duffey (Adobe), we dive into the possibilities of What If?, the practical impact of So What?, and the actions leaders can take with Now What?

The Stevie judges called out what makes the show stand out:

• “What If? So What? Podcast invites experts from different industries, which is important to make sure that audiences are listening and gaining valuable information.”
• “A sharp, forward-thinking podcast that effectively translates complex digital trends into actionable insights.”
• “With standout guests like Mark Cuban, Brian Solis, and Google’s Neil Hoyne, the podcast demonstrates exceptional reach, relevance, and editorial curation.”

In other words, we’re not just talking about technology for technology’s sake. We’re focused on real business impact, helping leaders make smarter, faster decisions in a rapidly changing digital world.

We’re honored by this recognition and grateful to our listeners, guests, and production team who make each episode possible.

If you haven’t tuned in yet, now’s the perfect time to hear why the judges called What If? So What? a “high-quality, future-forward show that raises the standard for business podcasts.”

Catch the latest episodes here: What If? So What? Podcast

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Meet our Host

Jim Hertzfeld is Area Vice President, Strategy for Perficient.

For over two decades, he has worked with clients to convert market insights into real-world digital products and customer experiences that actually grow their business. More than just a strategist, Jim is a pragmatic rebel known for challenging the conventional and turning grand visions into actionable steps. His candid demeanor, sprinkled with a dose of cynical optimism, shapes a narrative that challenges and inspires listeners.

Connect with Jim: LinkedIn | Perficient

Perficient is proud to be included in the IDC Market Glance: Digital Business Professional Services, 3Q25, (Doc # US52789825, July 2025)”. This marks our fourth consecutive year of inclusion.

In the report, Perficient is included in the Technology Transformation Dominant category, where IDC defines participants as: “organizations [that] offer technology consulting advice and services as their primary service line to drive digital transformation.”

Built to Lead with Technology

IDC notes: “Many technology transformation dominant firms also offer business consulting services, and some are expanding their capabilities into design services and product engineering services as well.”

This aligns with our evolution as a consulting partner. At Perficient, we integrate strategy, implementation, and innovation, giving clients the technology foundations and AI readiness to accelerate transformation and achieve tangible outcomes.

An Industry in Motion

The report also highlights a key trend shaping the digital business consulting landscape:

“Acquisitions to boost AI/cloud/digital capabilities and to fill niche areas of expertise.”

Perficient’s strategic investments reflect this shift. We continue to deepen our AI-first capabilities, expand our industry expertise, and deliver consulting services grounded in execution.

Strategy to Execution, Powered by AI

Technology transformation at Perficient is built for scale, speed, and strategy. We help enterprises modernize platforms, streamline architectures, and align technology investments to real business outcomes. Our AI-powered Envision experience connects strategy to execution, combining proven frameworks with intelligent tools that help leaders prioritize, activate, and accelerate transformation. From capability mapping to platform selection, Envision turns insight into action and helps organizations move faster with confidence.

Ready to move from ambition to impact? Let’s define your AI-first strategy and build the foundation to lead what’s next.

Migrating a website or upgrading to a new Sitecore platform is more than a technical lift — it’s a business transformation and an opportunity to align your site and platform with your business goals and take full advantage of Sitecore’s capabilities. A good migration protects functionality, reduces risk, and creates an opportunity to improve user experience, operational efficiency, and measurable business outcomes.

Before jumping to the newest version or the most hyped architecture, pause and assess. Start with a thorough discovery: review current architecture, understand what kind of migration is required, and decide what can realistically be reused versus what should be refactored or rebuilt, along with suitable topology and Sitecore products.

This blog expands the key considerations before committing to a Sitecore-specific migration, translating them into detailed, actionable architecture decisions and migration patterns that guide impactful implementation.

1) Clarifying client requirements

Before starting any Sitecore migration or implementation, it’s crucial to clarify client’s requirements thoroughly. This ensures the solution aligns with actual business needs, not just technical requests and helps avoid rework or misaligned outcomes.

Scope goes beyond just features: Don’t settle for “migrate this” as the requirement. Ask deeper questions to shape the right migration strategy:

• Business goals: Is the aim a redesign, conversion uplift, version upgrade, multi-region rollout, or compliance?
• Functional scope: Are we redesigning the entire site or specific flows like checkout/login, or making back office changes?
• Non-functional needs: What are the performance SLAs, uptime expectations, compliance (e.g.: PCI/GDPR), and accessibility standards?
• Timeline: Is a phased rollout preferred, or a big-bang launch?

Requirements can vary widely, from full redesigns using Sitecore MVC or headless (JSS/Next.js), to performance tuning (caching, CDN, media optimization), security enhancements (role-based access, secure publishing), or integrating new business flows into Sitecore workflows.
Sometimes, the client may not fully know what’s needed, it’s up to us to assess the current setup and recommend improvements. Don’t assume the ask equals the need, A full rewrite isn’t always the best path. A focused pilot or proof of value can deliver better outcomes and helps validate the direction before scaling.

2) Architecture of the client’s system

Migration complexity varies significantly based on what the client is currently using. You need to evaluate current system and its uses and reusability.

Key Considerations

• If the client is already on Sitecore, the version matters. Older versions may require reworking the content model, templates, and custom code to align with modern Sitecore architecture (e.g.: SXA, JSS).
• If the client is not on Sitecore, evaluate their current system, infrastructure, and architecture. Identify what can be reused—such as existing servers(in case of on-prem), services, or integrations—to reduce effort.
• Legacy systems often include deprecated APIs, outdated connectors, or unsupported modules, which increase technical risk and require reengineering.
• Historical content, such as outdated media, excessive versioning, or unused templates, can bloat the migration. It’s important to assess what should be migrated, cleaned, or archived.
• Map out all customizations, third-party integrations, and deprecated modules to estimate the true scope, effort, and risk involved.
• Understanding the current system’s age, architecture, and dependencies is essential for planning a realistic and efficient migration path.

3) Media Strategy

When planning a Sitecore migration or upgrade, media handling can lead to major performance issues post-launch. These areas are critical for user experience, scalability, and operational efficiency, so they need attention early in the planning phase. Digital Asset Management (DAM) determines how assets are stored, delivered, and governed.

Key Considerations

• Inventory: Assess media size, formats, CDN references, metadata, and duplicates. Identify unused assets, and plat to adopt modern formats (e.g., WebP).
• Storage Decisions: Analyze and decide whether assets stay in Sitecore Media Library, move to Content Hub, or use other cloud storage (Azure Blob, S3)?
• Reference Updates: Plan for content reference updates to avoid broken links.

4) Analytics, personalization, A/B testing, and forms

These features often carry stateful data and behavioral dependencies that can easily break during migration if not planned for. Ignoring them can lead to data loss and degraded user experience.

Key Considerations

• Analytics: Check if xDB, Google Analytics, or other trackers are in use? Decide how historical analytics data will be preserved, validated, and integrated into the new environment?
• Personalization: Confirm use of Sitecore rules, xConnect collections, or an external personalization engine. Plan to migrate segments, conditions, and audience definitions accurately.
• A/B Testing & Experiments: Draft a plan to export experiment definitions and results is present.
• Forms: Analyze which forms collects data, and how do they integrate with CRM or marketing automation?

Above considerations play important role in choosing Sitecore topology, if there is vast use of analytics XP makes a suitable option, forms submission consent flows have different approach in different topologies.

5) Search Strategy

Search is critical for user experience, and a migration is the right time to reassess whether your current search approach still makes sense.

Key Considerations

• Understand how users interact with the site, Is search a primary navigation tool or a secondary feature? Does it significantly impact conversion or engagement?
• Identify current search engine if any. Access its features, if advanced capabilities like AI recommendations, synonyms, or personalization being used effectively.
• If the current engine is underutilized, note that maintaining it may add unnecessary cost and complexity. If search is business-critical, ensure feature parity or enhancement in the new architecture.
• Future Alignment:  Based on requirements, determine whether the roadmap supports:

• • Sitecore Search (SaaS) for composable and cloud-first strategies.
  • Solr for on-prem or PaaS environments.
  • Third-party engines for enterprise-wide search needs.

6) Integrations, APIs & Data Flows

Integrations are often the hidden complexity in Sitecore migrations. They connect critical business systems, and any disruption can lead to post-go-live incidents. For small, simple content-based sites with no integrations, migrations tend to be quick and straightforward. However, for more complex environments, it’s essential to analyze all layers of the architecture to understand where and how data flows. This includes:

Key Considerations

• Integration Inventory: List all synchronous and asynchronous integrations, including APIs, webhooks, and data pipelines. Some integrations may rely on deprecated endpoints or legacy SDKs that need refactoring.
• Criticality & Dependencies: Identify mission-critical integrations (e.g.: CRM, ERP, payment gateways).
• Batch & Scheduled Jobs: Audit long-running processes, scheduled exports, and batch jobs. Migration may require re-scheduling or re-platforming these jobs.
• Security & Compliance: Validate API authentication, token lifecycles, and data encryption. Moving to SaaS or composable may require new security patterns.

7) Identify Which Sitecore offerings are in use — and to what extent?

Before migration, it’s essential to document the current Sitecore ecosystem and evaluate what the future state should look like. This determines whether the path is a straight upgrade or a transition to a composable stack.

Key Considerations

• Current Topology: Is the solution running on XP or XM? Assume that XP features (xDB, personalization) may not be needed if moving to composable.
• Content Hub: Check if DAM or CMP is in use. If not, consider whether DAM is required for centralized asset management, brand consistency, and omnichannel delivery.
• Sitecore Personalize & CDP: Assess if personalization is currently rule-based or if advanced testing and segmentation are required.
• OrderCloud: If commerce capabilities exist today or are planned in the near future.

Target Topologies

This is one of the most critical decisions is choosing the target architecture. This choice impacts infrastructure, licensing, compliance, authoring experience, and long-term scalability. It’s not just a technical decision—it’s a business decision that shapes your future operating model.

Key Considerations

• Business Needs & Compliance: Does your organization require on-prem hosting for regulatory reasons, or can you move to SaaS for agility?
• Authoring Experience: Will content authors need Experience Editor, or is a headless-first approach acceptable?
• Operational Overhead: How much infrastructure management can team handle post-migration?
• Integration Landscape: Are there tight integrations with legacy systems that require full control over infrastructure?

Architecture Options & Assumptions

Along with topology its important to consider hosting and frontend delivery platform. Lets look at available hosting options with their pros and cons:

• On-Prem(XM/XP): You can build the type of machine that you want.
  • Pros: Maximum control, full compliance for regulated industries, and ability to integrate with legacy systems.
  • Cons: High infrastructure cost, slower innovation, and manual upgrades, difficult to scale.
  • Best For: Organizations with strict data residency, air-gapped environments, or regulatory mandates.
  • Future roadmap may require migration to cloud, so plan for portability.
• PaaS (Azure App Services, Managed Cloud – XM/XP)
  • Pros: Minimal up-front costs and you do not need to be concerned about the maintenance of the underlying machine.
  • Cons: Limited choice of computing options and functionality.
  • Best For: Organizations expecting to scale vertically and horizontally, often and quickly
• IaaS (Infrastructure as a service – XM/XP)
  • This is same as on-premise, but with VMs you can tailor servers to meet your exact requirements.
• SaaS (XM Cloud)
  • Pros: Zero infrastructure overhead, automatic upgrades, global scalability.
  • Cons: Limited deep customization at infra level.
  • Best For: Organizations aiming for composable DXP and agility.
  • Fully managed by Sitecore (SaaS).

For development, you have different options for example: .Net MVC, .Net Core, Next JS, React. Depending on topology suggested, selection of frontend delivery can be hybrid or headless:

.NET MVC → For traditional, web-only application.
Headless → For multi-channel, composable, SaaS-first strategy.
.NET Core Rendering → For hybrid modernization with .NET.

8) Security, Compliance & Data Residency

Security is non-negotiable during any Sitecore migration or upgrade. These factors influence architecture, hosting choices and operational processes.

Key Considerations

• Authentication & Access: Validate SSO, SAML/OAuth configurations, API security, and secrets management. Assume that identity providers or token lifecycles may need reconfiguration in the new environment.
• Compliance Requirements: Confirm obligations like PCI, HIPAA, GDPR, Accessibility and regional privacy laws. Assume these will impact data storage, encryption, and as AI is in picture now a days it will even have impact on development workflow.
• Security Testing: Plan for automated vulnerability scans(decide tools you going to use for the scans) and manual penetration testing as part of discovery and pre go-live validation.

9) Performance

A migration is the perfect opportunity to identify and fix structural performance bottlenecks, but only if you know your starting point. Without a baseline, it’s impossible to measure improvement or detect regressions.

Key Considerations

• Baseline Metrics: Capture current performance indicators like TTFB (Time to First Byte), LCP (Largest Contentful Paint), CLS (Cumulative Layout Shift), throughput, and error rates. These metrics will guide post-migration validation and SLA commitments.
• Caching & Delivery: Document existing caching strategies, CDN usage, and image delivery methods. Current caching patterns may need reconfiguration in the new architecture.
• Load & Stress Testing: Define peak traffic scenarios and plan load testing tools with Concurrent Users and Requests per Second.

10) Migration Strategies

Choosing the right migration strategy is critical to balance risk, cost, and business continuity. There’s no one size fits all approach—your suggestion/choice depends on timeline, technical debt and operational constraints.

Common Approaches

• • Lift & Shift
    Move the existing solution as is with minimal changes.
    This is low-risk migrations where speed is the priority. When the current solution is stable and technical debt is manageable.
    However with this approach the existing issues and inefficiencies stays as is which can be harmful.

• • Phased (Module-by-Module)
    Migrate critical areas first (e.g.: product pages, checkout) and roll out iteratively.
    This can be opted for large, complex sites where risk needs to be minimized, when business continuity is critical.
    With this approach, timelines are longer and requires dual maintenance during transition.

• • Rewrite & Cutover
    Rebuild the solution from scratch and switch over at once.
    This is can be chosen when the current system doesn’t align with future architecture. When business wants a clean slate for modernization.

Above options can be suggested based on several factors whether business tolerate downtime or dual maintenance. What are the Timelines, What’s the budget. If the current solution worth preserving, or is a rewrite inevitable? Does the strategy align with future goals?

Final Thoughts

Migrating to Sitecore is a strategic move that can unlock powerful capabilities for content management, personalization, and scalability. However, success lies in the preparation. By carefully evaluating your current architecture, integration needs and team readiness, you can avoid common pitfalls and ensure a smoother transition. Taking the time to plan thoroughly today will save time, cost, and effort tomorrow setting the stage for a future-proof digital experience platform.

Modern Healthcare has once again recognized Perficient among the largest healthcare management consulting firms in the U.S., ranking us ninth in its 2025 survey. This honor reflects not only our growth but also our commitment to helping healthcare leaders navigate complexity with clarity, precision, and purpose.

What’s Driving Demand: Innovation with Intent

As provider, payer, and MedTech organizations face mounting pressure to modernize, our work is increasingly focused on connecting digital investments to measurable business and health outcomes. The challenges are real—and so are the opportunities.

Healthcare leaders are engaging our experts to tackle shifts from digital experimentation to enterprise alignment in business-critical areas, including:

• Digital health transformation that eases access to care.
• AI and data analytics that accelerate insight, guide clinical decisions, and personalize consumer experiences.
• Workforce optimization that supports clinicians, streamlines operations, and restores time to focus on patients, members, brokers, and care teams.

These investments represent strategic maturity that reshapes how care is delivered, experienced, and sustained.

Operational Challenges: Strategy Meets Reality

Serving healthcare clients means working inside a system that resists simplicity. Our industry, technical, and change management experts help leaders address three persistent tensions:

1. Aligning digital strategy with enterprise goals. Innovation often lacks a shared compass. We translate divergent priorities—clinical, operational, financial—into unified programs that drive outcomes.
2. Controlling costs while preserving agility. Budgets are tight, but the need for speed and competitive relevancy remains. Our approach favors scalable roadmaps and solutions that deliver early wins and can flex as the health care marketplace and consumer expectations evolve.
3. Preparing the enterprise for AI. Many of our clients have discovered that their AI readiness lags behind ambition. We help build the data foundations, governance frameworks, and workforce capabilities needed to operationalize intelligent systems.

Related Insights: Explore the Digital Trends in Healthcare

Consumer Expectations: Access Is the New Loyalty

Our Access to Care research, based on insights from more than 1,000 U.S. healthcare consumers, reveals a fundamental shift: if your healthcare organization isn’t delivering a seamless, personalized, and convenient experience, consumers will go elsewhere. And they won’t always come back.

Many healthcare leaders still view competition as other hospitals or clinics in their region. But today’s consumer has more options—and they’re exercising them. From digital-first health experiences to hyper-local disruptors and retail-style health providers focused on accessibility and immediacy, the competitive field is rapidly expanding.

• Digital convenience is now a baseline. More than half of consumers who encountered friction while scheduling care went elsewhere.
• Caregivers are underserved. One in three respondents manage care for a loved one, yet most digital strategies treat the patient as a single user.
• Digital-first care is mainstream. 45% of respondents aged 18–64 have already used direct-to-consumer digital care, and 92% of those adopters believe the quality is equal or better to the care offered by their regular health care system.

These behaviors demand a rethinking of access, engagement, and loyalty. We help clients build experiences that are intuitive, inclusive, and aligned with how people actually live and seek care.

Looking Ahead: Complexity Accelerates

With intensified focus on modernization, data strategy, and responsible AI, healthcare leaders are asking harder questions. We’re helping them find and activate answers that deliver value now and build resilience for what’s next.

Our technology partnerships with Adobe, AWS, Microsoft, Salesforce, and other platform leaders allow us to move quickly, integrate deeply, and co-innovate with confidence. We bring cross-industry expertise from financial services, retail, and manufacturing—sectors where personalization and operational excellence are already table stakes. That perspective helps healthcare clients leapfrog legacy thinking and adopt proven strategies. And our fluency in HIPAA, HITRUST, and healthcare data governance ensures that our digital solutions are compliant, resilient, and future-ready.

Optimized, Agile Strategy and Outcomes for Health Insurers, Providers, and MedTech

Discover why we been trusted by the 10 largest U.S. health systems, 10 largest U.S. health insurers, and 14 of the 20 largest medical device firms. We are recognized in analyst reports and regularly awarded for our excellence in solution innovation, industry expertise, and being a great place to work.

Contact us to explore how we can help you forge a resilient, impactful future that delivers better experiences for patients, caregivers, and communities.

Balancing AI Strategy With Human Wisdom 

“AI-first” has become a buzzword in executive conversations, but what does it really mean? Is it about using artificial intelligence at every turn, or applying it with intention and purpose? For analyst and researcher Susan Etlinger, it’s clearly the latter. 

On the latest episode of “What If? So What?”, Susan joins host Jim Hertzfeld to explore what it takes to build AI strategies that are both innovative and responsible. With a background that bridges the humanities and technology, she makes a compelling case for the critical role of human insight in an AI-driven world. 

When (and When Not) to Automate 

AI’s power lies not just in what it can do, but in knowing when not to use it. Susan argues that leaders must assess whether automation truly improves outcomes or risks eliminating valuable learning opportunities. 

She shares a story from early in her career, when manually compiling business data helped her develop essential skills like stakeholder management, strategic thinking, and financial literacy. Her point: AI can accelerate, but only human experience gives results meaning. 

From Generative to Agentic AI: Who’s in Control? 

The conversation explores the evolution from machine learning to Generative AI, and now to Agentic AI. Susan encourages leaders to ask:  

Who sets the goals? Who ensures alignment?  

While AI agents can handle tasks from start to finish, intention, ethics, and judgment remain the responsibility of humans. 

Smarter AI Strategies, Not Just More AI 

Susan’s key takeaway is clear:  

Organizations don’t need more AI; they need better AI strategies. 

Start with a clear use case, implement with intention, and learn from the outcome. The most effective approaches respect the limits of automation while amplifying human strengths. 

Keep People at the Center of Your AI Strategy 

For leaders shaping AI strategy, Susan offers a clear reminder:  progress isn’t about replacing human decision making, it’s about enhancing it. AI can accelerate outcomes, but it’s people who ensure those outcomes are purposeful, ethical, and aligned to your business goals. 

Listen to the full conversation

Subscribe Where You Listen

Apple | Spotify | Amazon | Overcast | Watch the full video episode on YouTube

Meet our Guest – Susan Etlinger

Susan Etlinger is a globally recognized expert on the business and societal impact of data and artificial intelligence and senior fellow at the Centre for International Governance Innovation, an independent, non-partisan think tank based in Canada. Her TED talk, “What Do We Do With All This Big Data?” has been translated into 25 languages and has been viewed more than 1.5 million times. Her research is used in university curricula around the world, and she has been quoted in numerous media outlets including The Wall Street Journal, The Atlantic, The New York Times and the BBC. Susan holds a Bachelor of Arts in Rhetoric from the University of California at Berkeley. 

Follow Susan on LinkedIn  

Learn More about Susan Etlinger

Meet our Host

Jim Hertzfeld is Area Vice President, Strategy for Perficient.

For over two decades, he has worked with clients to convert market insights into real-world digital products and customer experiences that actually grow their business. More than just a strategist, Jim is a pragmatic rebel known for challenging the conventional and turning grand visions into actionable steps. His candid demeanor, sprinkled with a dose of cynical optimism, shapes a narrative that challenges and inspires listeners.

Connect with Jim:

LinkedIn | Perficient

In today’s hyper-personalized digital world, delivering the right message to the right customer at the right time is non-negotiable. 

Adobe Commerce is a powerful eCommerce engine, but when coupled with Adobe Real-Time CDP (Customer Data Platform), it evolves into an intelligent experience machine, which is capable of deep AI-powered personalization, dynamic segmentation, and real-time responsiveness. 

What is Adobe Real-Time CDP? 

Adobe Real-Time CDP is a Customer Data Platform that collects and unifies data across various sources (websites, apps, CRM, etc.) into a single, comprehensive real-time customer profile. This data is then accessible to other systems for marketing, sales, and service. 

Key Capabilities of Real-time CDP

• Real-time data ingestion and activation.  
• Identity resolution across devices and platforms 
• AI-driven insights and audience segmentation 
• Data governance and privacy compliance tools 

Why Integrate Adobe Commerce with Adobe CDP? 

Adobe Commerce offers native customer segmentation, but it’s limited to session or behavior data within the commerce environment. When the customer data is vast, the native segmentation becomes very slow, impacting overall performance.  

What We Gain with Real-Time CDP

Use Cases

1. Win-back Campaign: Identify dormant users in CDP and activate personalized discounts  
2. Cart Recovery: Capture cart abandonment events. 
3. High-Intent Buyers: Target customers who browse premium products but didn’t convert 

Integration of Adobe Commerce with Adobe Real-Time CDP 

Data Layer Implementation

• Install Adobe Experience Platform Web SDK to enable real-time event tracking and identity collection.  
• Define and deploy a custom XDM schema aligned with Commerce events. 

Customer Identity Mapping

• Implement Adobe Identity Service to build unified customer profiles across anonymous and logged-in sessions. 
• Ensure login/signup events are tracked for persistent identification. 

Data Collection Configuration

• Tag key Commerce events (add to cart, purchase, product) to collect data. 
• Set up batch or streaming ingestion using the following extensions: 
  • audiences-activation 
  • experience-platform-connector
• Admin configuration for Organization ID, Dataset ID & Data Stream ID:  
  • System -> Services -> Data Connection 
  • System -> Services -> Commerce Service Connector 

Audience Segmentation & Activation

• Create dynamic audiences using behavioral, transactional, and CRM data.  
• Assign Audience in Adobe Commerce. 

Personalization Execution

• Leverage Adobe Target or Adobe Experience Manager (AEM) to serve personalized content.
• CDP can be used for decision making, like suppressing offers to churn customers. 

Challenges to Consider 

• Data Governance: Ensure GDPR/CCPA compliance with CDP’s consent management tools. 
• Identity Resolution Complexity: Work closely with marketing teams to define identity rules. 
• Cross-Team Collaboration: Integration touches data engineering, commerce, marketing, and legal teams.

Conclusion 

Integrating Adobe Commerce with CDP empowers both business and technical teams to unify profiles and stay ahead in a dynamic marketplace by delivering personalization.  

Adobe Real-Time CDP is not just a marketing tool, it’s an asset for creating commerce experiences that adapt to the customer in real-time.   

The pressure is on for healthcare organizations to deliver more—more value, more equity, more impact. That’s where a well-known approach is stepping back into the spotlight.

If you’ve been around healthcare conversations lately, you’ve probably heard the resurgence of term value-based care. And there’s a good reason for that. It’s not just a buzzword—it’s reshaping how we think about health, wellness, and the entire care experience.

What Is Value-Based Care, Really?

At its core, value-based care is a shift away from the old-school fee-for-service model, where providers got paid for every test, procedure, or visit, regardless of whether it actually helped the patient. Instead, value-based care rewards providers for delivering high-quality, efficient care that leads to better health outcomes.

It’s not about how much care is delivered, it’s about how effective that care is.

This shift matters because it places patients at the center of everything. It’s about making sure people get the right care, at the right time, in the right setting. That means fewer unnecessary tests, fewer duplicate procedures, and less of the fragmentation that’s plagued the system for decades.

The results? Better experiences for patients. Lower costs. Healthier communities.

Explore More: Access to Care Is Evolving: What Consumer Insights and Behavior Models Reveal

Benefits and Barriers of Value-Based Care in Healthcare Transformation

There’s a lot to be excited about, and for good reason! When we focus on prevention, chronic disease management, and whole-person wellness, we can avoid costly hospital stays and emergency room visits. That’s not just good for the healthcare system, it’s good for people, families, and communities. It moves us closer to the holy grail in healthcare: the quintuple aim. Achieving it means delivering better outcomes, elevating experiences for both patients and clinicians, reducing costs, and advancing health equity.

The challenge? Turning value-based care into a scalable, sustainable reality isn’t easy.

Despite more than a decade of pilots, programs, and well-intentioned reforms, only a small number of healthcare organizations have been able to scale their value-based care models effectively. Why? Because many still struggle with some pretty big roadblocks—like outdated technology, disconnected systems, siloed data, and limited ability to manage risk or coordinate care.

That’s where digital transformation comes in.

To make value-based care real and sustainable, healthcare organizations are rethinking their infrastructure from the ground up. They’re adopting cloud-based platforms and interoperable IT systems that allow for seamless data exchange across providers, payers, and patients. They’re tapping into advanced analytics, intelligent automation, and AI to identify at-risk patients, personalize care, and make smarter decisions faster.

As organizations work to enable VBC through digital transformation, it’s critical to really understand what the current research says. Our recent study, Access to Care: The Digital Imperative for Healthcare Leaders, backs up these trends, showing that digital convenience is no longer a differentiator—it’s a baseline expectation.

Findings show that nearly half of consumers have opted for digital-first care instead of visiting their regular physician or provider.

This shift highlights how important it is to offer simple and intuitive self-service digital tools that help people get what they need—fast. When it’s easy to find and access care, people are more likely to trust you, stick with you, and come back when they need you again.

You May Also Enjoy: How Innovative Healthcare Organizations Integrate Clinical Intelligence

Redesigning Care Models for a Consumer-Centric, Digitally Enabled Future

Care models are also evolving. Instead of reacting to illness, we’re seeing a stronger focus on prevention, early intervention, and proactive outreach. Consumer-centric tools like mobile apps, patient portals, and personalized health reminders are becoming the norm, not the exception. It’s all part of a broader movement to meet people where they are and give them more control over their health journey.

But here’s an important reminder: none of these efforts work in a vacuum.

Value-based care isn’t just a technology upgrade or a process tweak. It’s a cultural shift.

Success requires aligning people, processes, data, and technology in a way that’s intentional and strategic. It’s about creating an integrated system that’s designed to improve outcomes and then making those improvements stick.

So, while the road to value-based care may be long and winding, the destination is worth it. It’s not just a different way of delivering care—it’s a smarter, more sustainable one.

Success In Action: Empowering Healthcare Consumers and Their Care Ecosystems With Interoperable Data

Reimagine Healthcare Transformation With Confidence

If you’re exploring how to modernize your digital front door, consider starting with a strategic assessment. Align your goals, audit your content, and evaluate your tech stack. The path to better outcomes starts with a smarter, simpler way to help patients find care.

We combine strategy, industry best practices, and technology expertise to deliver award-winning results for leading healthcare organizations.

• Business Transformation: Activate strategy for transformative outcomes and health experiences.
• Modernization: Maximize technology to drive health innovation, efficiency, and interoperability.
• Data + Analytics: Power enterprise agility and accelerate healthcare insights.
• Consumer Experience: Connect, ease, and elevate impactful health journeys.

Our approach to designing and implementing AI and machine learning (ML) solutions promotes secure and responsible adoption and ensures demonstrated and sustainable business value.

Discover why we have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S. Explore our healthcare expertise and contact us to learn more.

The digital world isn’t slowing down, and neither are your customers. They expect fast, around-the-clock support in their language. For global businesses, meeting that demand can be costly. Hiring multilingual agents in every region adds up quickly. That’s why more companies are turning to real-time translation tools. They offer a more scalable, cost-effective way to deliver consistent, high-quality service across languages.

In this blog article, I will guide you through how we, at Perficient, are addressing this challenge by leveraging Twilio’s ConversationRelay and AI translation technology to deliver real-time voice translation for contact centers. The result is a quick, accurate, and natural conversation with an agent who can speak in the customer’s native language. Pretty impressive, isn’t it?

What Is Twilio ConversationRelay?

For real-time voice translation with Twilio ConversationRelay, developers can access live Media Streams between the customer and agent, and improve their conversation in real-time. Think of it as a smart audio bridge that enables you to plug in AI features such as text-to-speech, real-time translation, speech-to-text transcription, or an LLM. As a result, it provides a strong basis for creating dynamic, multilingual voice experiences in modern contact centers.

Now, let’s see how the backend of our real-time voice translation demo is put together.

Twilio ConversationRelay captures live audio when a customer speaks in their native language, for example, Spanish, using Programmable Voice. That stream is then routed through WebSockets to maintain a quick and responsive connection.

The procedure reverses itself when the agent responds in English, recording their voice, transcribing it, translating it back into the customer’s language, and then turning it back into speech.

It’s fascinating how AI makes it possible to have seamless, two-way, real-time conversation between speakers of different languages without the need for a human interpreter.

Why It Matters

Real-time voice translation is revolutionizing the way businesses communicate with customers by enabling support in the customer’s language without needing an agent who speaks it natively.

But it’s not just about translating words. This method helps support teams truly understand what customers are saying, including the tone and emotion behind their message. That results in fewer misunderstandings, quicker resolution times, and a smoother overall experience.

More importantly, it helps build trust and empathy in conversations that might otherwise feel distant or disconnected. With that, customer satisfaction isn’t just possible, it’s almost guaranteed.

Challenges And Considerations

Real-time voice translation is a game-changer, but making it work seamlessly in a live contact center is a whole different story.

One of the biggest hurdles is latency. Even a slight delay, just a few hundred milliseconds, can disrupt the natural flow of a conversation and make things feel awkward or disjointed.

Then there’s the issue of accuracy. In industries like healthcare or finance, where precise language and industry-specific terms matter, generic translation tools can easily miss the mark.

And let’s not forget about privacy and compliance. When you’re dealing with live audio and sensitive data, you have to play by the rules, whether it’s GDPR, HIPAA, or PCI DSS.

That’s why building a multilingual contact center solution isn’t just about plugging in a translation tool. It takes careful planning, the right tech stack, and thorough testing to get it right.

At Perficient, our Customer Care practice is actively focused on minimizing latency in real-time voice translation for cloud contact centers. Leveraging Twilio ConversationRelay, we are optimizing low-latency audio streaming and integrating optimal ASR and translation models tailored to a specific industry. We also embed secure, compliant workflows that protect sensitive data while preserving natural conversational flow.

See It in Action

We’ve put together a live demo that walks through the full experience, from capturing the customer’s voice to translating it in real-time and vice versa within a cloud contact center.

Curious to see it in action? Or wondering how something like this could level up your contact center? Let’s connect, and we’d love to show you what’s possible.

In today’s data-driven world, understanding how users interact with your application is no longer optional , it’s essential. Every scroll, click, and form submission tells a story, a story about what your users care about, what they ignore, and where they might be facing friction.

This is where event tracking and analytics come into play.

Traditionally, developers and product teams rely on third-party tools like Google Analytics, Log rocket, or Hot-jar to collect and analyse user behaviour. These tools are powerful, but they come with trade-offs:

• Privacy concerns : You may not want to share user data with external services.
• Cost : Premium analytics platforms can be expensive.
• Limited customization : You’re often restricted to predefined event types and dashboards.

 What Is Event Tracking?

Event tracking is the process of capturing and analyzing specific user interactions within a website or application. These events help you understand how users engage with your product.

 Common Events to Track:

• Page Views – When a user visits a page
• Button Clicks – Interactions with CTAs or navigation
• Scroll Events – How far users scroll down a page
• Form Submissions – When users submit data
• Text Inputs – Typing in search bars or forms
• Mouse Movements – Hovering or navigating with the cursor

Why Is It Important?

The primary goal of event tracking is to:

• Understand user behaviour
• Identify friction points in the UI/UX
• Make data-informed decisions for product improvements
• Measure feature adoption and conversion rates

Whether you’re a developer, product manager, or designer, having access to this data empowers you to build better, more user-centric applications.

In this blog, I’ll give you a high-level overview of a custom Event Tracker POC built with React.js and Bootstrap—highlighting only the key snippets and how user interactions are tracked.

1. Reusable Event Tracker Utility:

   const eventTracker = (eventName, eventData = {}) => {
     const key = 'eventCounts';
     const existing = JSON.parse(localStorage.getItem(key)) || {};
     existing[eventName] = (existing[eventName] || 0) + 1;
     localStorage.setItem(key, JSON.stringify(existing));
     const event = {
       name: eventName,
       data: eventData,
       timestamp: new Date().toISOString(),
     };
     console.log('Tracked Event:', event);console.log('Event Counts:', existing);};
   

    

2. Wherever event happen add in below format(e.g: form submit)

   eventTracker('Form Submitted', { name, email });

    

3. To view any event tracker count and which event it is, we can do as per below code.

   export const getEventCount = (eventName) => {
     const counts = JSON.parse(localStorage.getItem('eventCounts')) || {};
     return counts[eventName] || 0;
   };
   
   

    

4. Usage in dashboard

   import { getEventCount } from '../utils/eventTracker';
   
   const formSubmitCount = getEventCount('Form Submitted');
   const inputChangeCount = getEventCount('Input Changed');
   const pageViewCount = getEventCount('Page Viewed');
   const scrollEventCount = getEventCount('Scroll Event');
   
   

   This allows you to monitor how many times each event has occurred during the users session  (if local storage is retained).

Advantages of Custom Event Tracker:

1. Full Control – Track only what matters, with custom data structure
2. Data Privacy – No third-party servers, easier GDPR/CCPA compliance
3. Cost Effective – No subscription, suitable for POCs and internal tools
4. Custom UI – Fully customizable dashboard with React and Bootstrap
5. No External Dependencies – Works offline or in secure environments
6. Easy Debugging – Transparent logic and flexible debugging process

Conclusion:

1. If your focus is flexibility, cost-saving, and data ownership, a custom event tracker built in any framework or library (like your POC) is a powerful choice—especially for MVPs, internal dashboards, and privacy-conscious applications.
2. However, for quick setup, advanced analytics, and visual insights, third-party tools are better suited—particularly in production-scale apps where speed and insights for non-developers matter most.

• Use custom tracking when you want control.
• Use third-party tools when you need speed.