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ISO 20022 – End of MT Coexistence for Cash Instructions Fast Approaching

The Intertwining Wires Flash In Different Colors. 3d Rendering Illustration.

SWIFT MT (Message Type) messages are standardized financial messages used by financial institutions worldwide for secure communication and transaction processing. They follow a structured format, categorized by a three-digit code (e.g., MT103, MT202) that indicates the message type and its purpose within the financial transaction lifecycle. A generation of young wire room staff started their careers learning that the three-digit codes in SWIFT MT messages have the following meaning:

  • The first digit represents the message category (e.g., 1 for customer payments, 2 for financial institution transfers)
  • The second and third digits specify the specific message type within that category. 

However, SWIFT has announced that effective November 22, 2025 Financial Institution to Financial Institution (FI to FI) instructions must be sent to SWIFT in ISO (MX) format. MT cash instruction message types will be disabled in SWIFT input. SWIFT will NAK (Not Acknowledge) MT cash instructions. Therefore, financial institutions need to completely update their messaging tables for the following:

Mt To Mx Swift Messages

The following message types will be discontinued, and therefore do not have an MX equivalent:

  • MT102
  • MT102 STP
  • MT103 REMIT
  • MT201
  • MT203

SWIFT has not yet announced an end date for:

  • MT version of non-cash instructions (reporting, statements)
  • MT SCORE service (SWIFT for corporates)
  • Market Infrastructure Closed User Group (MI-CUG)
  • Corporate to FI Member Administered Closed User Group (MA-CUG)

Ready to explore your firm’s payments strategy? 

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Carl Aridas, CSM, PMP, SAFe, SFC, Six Sigma Green Belt

A former federal bank regulator, Carl has deep industry expertise acquired over 35 years in the financial services industry. A program and project manager with multiple certifications in both waterfall and agile methodologies, Carl has extensive AI training and has executed multiple enterprise-wide changes at both Strategically Important Financial Institutions as well as smaller FS firms, using the latest in AI tools.

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