August 20, 2026

Yes.

💼 But why now ?

– Payment volumes are growing, and so is E&I workload
– ISO 20022 brings richer data, but operations may not be ready
– Mere compliance to standards won’t reduce E&I costs
– Cost, quality and automation upside already justify action
– Shadow AI is not sustainable. Enterprise AI is.

⚙️ How with TxAgent ?

– Demo on target-state ISO 20022 E&I flow
– But works across target-state, hybrid and legacy environments
– Reconstructs the payment lifecycle from a camt.110
– Finds the missing pacs.009 cover
– Checks nostro activity via camt.054
– Assesses duplicate-payment risk
– Drafts the corrective pacs.009 and camt.111
– Preserves evidence and the investigation trail

This goes beyond asking an LLM to interpret a payment message.

TxAgent is a payments-native operational agent combining deterministic payment semantics, lifecycle evidence, specialist models, and LLM reasoning to investigate exceptions and guide resolution.

The objective: materially reduce investigation effort while improving consistency, traceability, and decision support.

Whatever happens with the next standards release, E&I is an operational problem worth tackling now.

🎥 TxAgent E&I – Missing Cover Payment