Agility is key for modern finance teams. Fast, informed responses to market shifts and cash flow changes can make the difference between stability and uncertainty.
As global payments, real-time cash management, and regulations have all grown more complex, manual tasks and siloed data are proving to be insufficient. Treasurers face mounting pressure to quickly make critical decisions, optimize liquidity and mitigate risk — all while maintaining strict security protocols and compliance standards.
By accelerating information discovery, enhancing productivity and providing actionable insights, agentic artificial intelligence (AI) is addressing these challenges and transforming treasury.
Introducing AI Discovery for Payments
Treasury Intelligence Solutions’ new AI Discovery for Payments is an AI agent that transforms how customers find payments and transactions. It enables intelligent discovery, increases productivity and seamlessly integrates with the TIS Payments platform. And it’s now available in the AI Agents and Tools storefront in AWS Marketplace, providing a streamlined way to access our payment and cash management solutions.
With a chat interface and rapid data retrieval capabilities, the TIS AI Personal Assistant for Payments delivers accurate information-hunting in a matter of seconds — not minutes or hours. It also helps teams reduce the time wasted every single month on data entry and other manual treasury reporting processes.
For instance, when preparing daily cash position reports or forecasting future liquidity needs, treasurers often have to manually consolidate data from multiple sources — including bank portals, ERP systems and internal ledgers — into a single spreadsheet. This time-consuming, error-prone process limits visibility and transparency across accounts. Reconciling disparate file formats and ensuring data integrity adds even more complexity and frustration.
The agent improves accuracy and reduces risk by automatically generating and exporting data requests in table formats. It also makes smart recommendations based on historical patterns and current market conditions, empowering treasurers to take swift, decisive action.
Actionable Steps for Treasurers
To ensure a seamless transition, treasurers and other financial professionals should proactively assess their payment processes and banking relationships:
- Engage with partner banks: Understand their readiness and timelines for supporting ISO 20022 in corporate-to-bank transactions.
- Evaluate payment formats: Identify whether legacy MT messages (e.g., MT101, MT103) are in use and plan for migration to XML-based messages.
- Review master data & address formatting: From November 2026, unstructured address data will no longer be accepted in interbank transactions.
- Assess statement reporting impact: The shift from MT940 to CAMT.053 bank statements requires reviewing bank connectivity and reconciliation processes.
- Ensure system readiness: Collaborate with ERP, TMS, and payment service providers to confirm compatibility and upgrade where necessary.
Native Integration
Security and compliance remain top concerns for treasurers, making robust controls and seamless integration with existing platforms essential for any new technologies. The AI Personal Assistant for Payments is designed specifically for the TIS Payments platform, so finance teams can quickly get it up and running – with secure access to existing treasury data and workflows in accordance with established user groups and privileges.
Together, the combination of intelligent information discovery, enhanced productivity and seamless integration delivers a transformative, easy-to-use tool that treasurers and their CFOs can trust. The agent extends TIS’s proven ability to centralize banking, optimize cash use and reduce compliance risks — all from a single, user-friendly SaaS platform. With connectivity to over 11,000 banks and a robust format library, TIS empowers treasurers to manage payments and cash globally with unmatched visibility, security and efficiency.
To learn more, send us a message.
