Financial Services
Govern AI agents under FCA and PRA expectations
From customer-facing copilots to back-office automation — evaluation, telemetry and evidence aligned to UK conduct, prudential and data-protection regimes.
Regulator alignment
Typical deployment context
Customer-facing financial services agents operate under Consumer Duty good-outcomes expectations, fair-treatment evidencing and demonstrable explainability. Back-office agents touching capital, risk or liquidity models inherit SS1/23 model risk obligations. AgentAudit maps both surfaces against the regulator clauses your second line will be asked to evidence.
Sector control overlay
- Consumer Duty good-outcomes evidencing per agent interaction
- SS1/23 model risk lineage and challenger-model comparisons
- Vulnerable customer detection and escalation evidence
- Section 166 readiness reporting profile
- Operational resilience: agent-as-important-business-service mapping
Use cases
Retail KYC triage agent
Risk-tier customer onboarding decisions with full rationale, EDD trigger evidence and named-reviewer audit trail.
Mortgage advisor copilot
Affordability scenario exploration with Consumer Duty fair-value evidencing and human-handoff thresholds.
Claims summariser
Structured claim narrative extraction with hallucination boundaries and adjuster-in-the-loop review.
Treasury research agent
Internal-only research copilot with source attribution and version-pinned evaluation harness.
Complaints triage
FOS-readable rationale capture and root-cause classification across the agent estate.
Financial crime alerting copilot
SAR drafting support with reviewer countersign and explicit non-decisioning posture.
"Sector-specific customer testimonial will be published here once design partner engagements progress to named attribution."
Govern your financial services agent estate
Book a 30-minute walkthrough with our team. We'll map your agent estate, regulator surface and rollout plan.