AI Governance for UK Insurers: From Underwriting to Claims
55% of UK insurance firms have seen AI projects fail due to poor data quality. I help insurers implement AI with the governance frameworks that satisfy PRA requirements and protect your senior managers.
Solvency II doesn't wait. Neither should your AI governance.
The AI Risks Keeping Insurance Leaders Awake
AI is transforming insurance—from underwriting algorithms that assess risk in milliseconds to claims automation that processes thousands of submissions daily. But with this transformation comes significant governance challenges.
Algorithmic bias in underwriting isn't just an ethical concern—it's a regulatory one. When your pricing models make decisions that disproportionately affect certain groups, you're exposed to discrimination claims and regulatory scrutiny.
AI hallucinations in claims processing can lead to wrongful denials or overpayments. Every incorrect decision creates liability and erodes customer trust.
Third-party vendor risk multiplies when you're using AI services from external providers. Do you know what data they're training on? Can you explain their decisions to regulators?
The question isn't whether you need AI governance—it's whether your current approach will withstand PRA scrutiny.
The Specific Risks I Help You Address
Insurance-specific AI challenges that require specialist governance expertise
Algorithmic Bias in Underwriting
Ensure your pricing algorithms don't inadvertently discriminate. I audit for bias and help you document fairness testing for regulators.
Claims Processing Hallucinations
AI that makes up information can lead to wrongful claim decisions. I implement validation frameworks that catch errors before they become liabilities.
Data Quality Issues
Poor data quality is the leading cause of AI project failure in insurance. I help you establish data governance that supports reliable AI outputs.
Third-Party Vendor Risk
Using AI services from external providers? I assess vendor governance, data handling practices, and explainability requirements.
Shadow AI Discovery
Your underwriters and claims handlers are probably using AI tools you don't know about. I find them before the regulator does.
Regulatory Documentation
Complete audit trails and decision documentation that satisfies Solvency II requirements and PRA expectations.
Solvency II and PRA Requirements for AI
Under Solvency II and the Senior Managers and Certification Regime (SM&CR), senior managers cannot claim ignorance of AI systems operating within their areas of responsibility.
The PRA expects insurers to demonstrate that they understand and can explain the AI systems they use— especially those affecting pricing, underwriting, and claims decisions.
Key Regulatory Requirements:
- •Model Risk Management: AI models must be validated, documented, and subject to ongoing monitoring
- •Explainability: You must be able to explain how AI systems reach their decisions
- •Audit Trails: Complete records of AI decision-making for regulatory inspection
- •Senior Manager Accountability: Someone must be accountable for AI governance under SM&CR
I help you build governance frameworks that meet these requirements—before the regulator comes asking questions.
The AI Risk & Efficiency Audit for Insurers
A comprehensive assessment of your AI landscape, designed specifically for the insurance sector's regulatory requirements
Shadow AI Discovery
I find every AI tool your teams are using—authorised or not. From ChatGPT in claims to third-party pricing tools, nothing stays hidden.
- ✓Complete AI inventory
- ✓Risk classification
- ✓Data flow mapping
Regulatory Gap Analysis
I assess your current AI governance against Solvency II, SM&CR, and PRA expectations. You'll know exactly where the gaps are.
- ✓Compliance assessment
- ✓Documentation review
- ✓Accountability mapping
Governance Roadmap
You'll receive a prioritised action plan with quick wins and longer-term improvements. Practical steps you can implement immediately.
- ✓Prioritised recommendations
- ✓Implementation timeline
- ✓Board-ready reporting
AI Audits start from £5,000. Most insurers see value within the first week.
Why Insurance Firms Work With Me
Specialist expertise in regulated financial services AI governance
The Pattrn Protocol
My governance framework ensures every AI implementation is transparent, auditable, and defensible to regulators.
Regulated Sector Experience
I work exclusively with professional services and regulated industries. I understand your compliance constraints.
Personal Delivery
I lead every engagement personally. You work directly with me, not junior consultants learning on your project.
No Vendor Lock-In
I recommend the right tools for your needs—not the ones that pay me commission. Your governance framework stays with you.
Board-Ready Outputs
Every deliverable is designed for executive communication. Your board and audit committee will understand exactly what they're approving.
Ongoing Support Available
After the audit, I offer governance retainers for continuous monitoring and support as your AI landscape evolves.
Don't Wait for the Regulator to Ask Questions
Book a free discovery call to discuss your AI governance needs. I'll give you an honest assessment of where you stand and what you need to do next.
Or email me directly at rohit@pattrndata.io
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