What the SR 2026 Delay Actually Means for Your ISO 20022 Roadmap
Swift’s SR 2026 delay changes the ISO 20022 roadmap. Learn what banks need to do now on structured addresses, compliance, data quality and migration.
Swift’s SR 2026 delay changes the ISO 20022 roadmap. Learn what banks need to do now on structured addresses, compliance, data quality and migration.
Code generation got fast. Getting an autonomous workflow into a bank’s production control environment did not. In Banking & Financial Services (BFS), the blocker is rarely the model; it’s trust. A risk officer will not sign off on a system that cannot say why it flagged something, that does its arithmetic inside a language model, or that leaves no audit trail an examiner can open. That is exactly the gap most agentic pilots die in.
Over the last two quarters, we built a portfolio of ten BFS agentic offerings on Alti AIOS™, Altimetrik’s AI Operating System, and deployed them on two stacks: Google Cloud with Gemini and AWS with OpenAI. This piece is the architecture and design principle behind them.
Most organizations can tell you what CVEs they found last quarter. Few can tell you which packages will become a problem next month or which AI skills are running in production without a certified identity. This piece is about closing that gap.
Here is something most life sciences organizations already know but rarely say out loud: Snowflake did its job. The data lake is full. Batch records, deviation logs, CAPA histories, COA repositories, clinical trial evidence, it is all there, unified, queryable, and beautifully governed. And yet the quality director is still chasing approvals through email threads. The compliance team is still manually cross-referencing batch records against specifications before a release decision. The CAPA cycle is still measured in weeks, not hours.
Data centralization was never the finish line. It was the foundation. The question now is whether that foundation does work or just sits there.
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