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OECD.AI Wonk · September 3, 2026

Can the finance sector oversee AI innovation while maintaining its rapid progress?

analysis AI ComplianceModel EvaluationAgent Security
Why it matters

OECD and FCA authors explain AI Live Testing as discovery workshops followed by review of firms’ testing and monitoring in live financial use cases. Evidence covers architecture, data pipelines, robustness, logging and technical resilience. Firms retain responsibility for tests and risk controls; participation provides feedback, without regulatory approval or audit sign-off. Agentic systems make ongoing monitoring essential because pre-deployment tests cannot cover every path.

My takeaway: Build an evidence pack around a defined use case: system boundaries, data lineage, test results, version history, monitoring and accountable owners. Record how feedback changes controls and how consumer outcomes are checked after deployment. Treat human oversight as a control to evaluate, and avoid presenting programme participation as regulatory certification.
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