FCA-Aligned AI Governance — Provenance-Gated Systems

The FCA's approach to AI is principles-based: firms need to be able to explain how a model works and demonstrate ongoing monitoring. Provenance-gated retrieval — citing only verified sources, refusing when it can't — is one concrete way to satisfy that for customer-facing systems.

THE GAP

A common gap: firms deploying LLMs for customer-facing answers can't show where a specific answer's underlying facts came from, or prove the model declined to answer when it should have.

APPROACH

Auditing the retrieval pipeline, implementing provenance tracking for citations, and building a refusal-first gate so the system declines rather than guesses when source confidence is insufficient.

PROOF

Related real work:

FAQ

Does this replace our compliance function?

No. This is technical work on the system itself — retrieval, provenance, refusal behavior. Regulatory sign-off remains your compliance team's call.

How is this different from a standard compliance audit?

Standard audits review documentation. This verifies the actual retrieval pipeline and runtime refusal behavior, not just the policy describing them.

What do you need from us to start?

Access to your technical documentation and a diagnostic call about what needs verifying and why it matters to your specific system.

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