Trusted AI Governance
Trusted AI Governance
FCA/PRA compliance, SMCR accountability, and model risk management. We help banks, insurers, and asset managers deploy AI that satisfies SS1/23, Consumer Duty, and algorithmic accountability requirements.
Financial services AI carries regulatory scrutiny that doesn't exist in other sectors. FCA algorithmic accountability, PRA model risk standards (SS1/23), SMCR Individual Accountability, and Consumer Duty good outcomes testing create a governance landscape where Senior Managers carry personal liability for AI they don't understand.
Financial services organizations face the most mature AI regulatory regime globally. The FCA expects algorithmic accountability, the PRA mandates model risk management under SS1/23, SMCR creates personal liability for Senior Managers, and Consumer Duty requires evidence that AI delivers good outcomes for customers.
When AI makes lending decisions, trading recommendations, or fraud determinations, regulators expect three things: evidence of control, accountability chains to named individuals, and proof that outcomes are fair across customer demographics.
Governance frameworks designed for FCA/PRA regulatory scrutiny
Implement PRA Supervisory Statement 1/23 model risk frameworks for AI systems. Model inventory, tiering (Tier 1/2/3), validation protocols, ongoing monitoring, model risk committees, documentation standards.
Establish SMCR governance enabling Senior Managers to demonstrate AI oversight. Prescribed Responsibility mapping, reasonable steps evidence, management information packs, escalation protocols, audit trails for regulatory inquiries.
Design Consumer Duty frameworks proving AI delivers good customer outcomes. Bias testing across demographics, harm prevention controls, fair value assessments, vulnerable customer protections, outcome monitoring.
Build algorithmic accountability frameworks satisfying FCA expectations. Explainability mechanisms, human oversight protocols, customer notification requirements, appeal processes, algorithmic impact assessments.
Prepare for Section 166 skilled persons reviews focused on AI governance. Documentation readiness, control evidence, Senior Manager interviews, regulatory correspondence, remediation planning.
Integrate EU AI Act conformity with UK FCA/PRA requirements for firms operating in both jurisdictions. Single governance framework satisfying both regulators—avoid duplicate compliance programs.
Specialized governance for AI across banking, insurance, and asset management
Credit & Lending AI — Credit scoring, affordability assessments, loan approvals. PRA SS1/23 model validation, Consumer Duty fair value testing, bias testing across protected characteristics, GDPR Article 22 explainability.
Trading & Investment AI — Algorithmic trading, portfolio management, market making. FCA algorithmic trading requirements, MiFID II best execution, market manipulation controls, real-time monitoring, kill-switch mechanisms.
Fraud Detection & AML — Transaction monitoring, sanctions screening, suspicious activity detection. False positive management, bias testing (don't discriminate against demographics), explainability for investigators, regulatory reporting.
Insurance Underwriting & Pricing — Risk assessment, premium calculation, claims automation. Consumer Duty outcomes testing, Equality Act compliance, vulnerable customer identification, claims fairness validation.
Customer Service & Advice AI — Chatbots, robo-advisors, recommendation engines. FCA financial promotions rules, suitability requirements, vulnerable customer protections, human escalation protocols, Consumer Duty.
Risk Management & Compliance AI — Market risk models, operational risk scoring, regulatory reporting. PRA SS1/23 Tier 1 validation requirements, model governance committees, independent validation, ongoing monitoring.
Challenge: Deploy AI trading algorithms under both EU AI Act (high-risk classification Article 6, Annex III) and FCA/PRA model risk requirements (SS1/23). Needed single governance framework satisfying both regulators without duplicate programs.
Result: 8 high-risk AI systems governed, 6-month implementation, 100% dual audit pass (EU AI Act conformity + PRA model validation), £95K investment, avoided £150K+ duplicate compliance costs
Whether you're deploying credit AI, trading algorithms, or fraud detection, we ensure your governance satisfies UK financial regulators and protects Senior Managers under SMCR.
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