Operational Resilience & AI Governance
Insurance-Sector OpRes, AI Risk & Regulatory Compliance
- ✓ Align with DORA, UK OpRes, CPS 230, NAIC AI frameworks & EU AI Act in one integrated programme
- ✓ Embed AI governance into underwriting, claims & fraud systems before regulators ask
- ✓ Reduce attestation prep time by up to 60% with AI-enabled resilience tooling
Why Leading Insurers Trust T3
Deep Insurance
Expertise spanning Life, Health, P&C, Reinsurance and Specialty lines — from underwriting to claims to capital
2/3 Big Tech
Delivered AI risk management for two of the three largest technology companies in the world
NIST · OECD · EU
Contributed to NIST AI RMF, OECD AI Principles, ISO 42001, EU AI Act & UK Safety Principles
The Challenge
2026: The Year AI Becomes Operational in Insurance — Ready or Not
Insurance is entering a decisive period. AI adoption across the sector is expected to reach roughly 90% of the workforce in 2026, moving from isolated pilots into the core workflows of underwriting, claims automation, fraud detection and customer servicing. At the same time, regulators worldwide are tightening expectations: DORA took effect in January 2025, the UK Operational Resilience regime exited its transition period on 31 March 2025, APRA CPS 230 commenced 1 July 2025, and the NAIC is finalising new AI governance and solvency frameworks for the US market.
For insurers, the convergence of these forces creates a compound challenge. AI is no longer an accessory — it is becoming the operating system that drives risk assessment, pricing, claims decisioning and distribution. Yet most carriers still lack the governance structures, impact tolerances and board-level assurance processes needed to treat AI as a critical business service. The result is a widening gap between operational reliance on AI and the resilience controls that surround it.
Carriers that treat risk as an afterthought inevitably face reputation damage, regulatory sanction and lost customer trust. Those that build responsibility into the development process from day one make better strategic decisions, protect operations and strengthen their competitive position.
Our Approach
Integrated OpRes & AI Governance — Purpose-Built for Insurers
T3 delivers a unified programme that connects operational resilience, AI risk governance and regulatory compliance into a single, attested capability. We do not bolt AI governance onto existing frameworks as an afterthought — we weave it into your critical business services from day one, covering underwriting models, claims automation, fraud engines, chatbots and third-party AI vendors.
01
Cross-Jurisdictional OpRes Alignment
One integrated framework spanning DORA, UK FCA/PRA OpRes, APRA CPS 230, OSFI E-21 and NAIC expectations — eliminating duplicative controls and reducing attestation prep time.
02
AI Risk Governance for Insurance
Model risk registers, bias and fairness audits, explainability standards and red teaming for underwriting, pricing, claims and fraud AI systems — aligned to EU AI Act, NIST AI RMF and ISO 42001.
03
Annual Attestation & Independent Assurance
Board-ready self-assessment reports, scenario-test evidence packs and independent assurance reviews designed for FCA/PRA, DORA and global supervisors — repeatable year on year.
04
Third-Party & AI Vendor Resilience
Criticality heat-mapping, vendor governance benchmarking and resilience uplift plans for cloud, LLM and InsurTech providers — meeting DORA Art 28 and SYSC 4R.9R expectations.
05
AI Literacy & Responsible AI Training
Role-specific programmes for boards, actuaries, underwriters, claims teams and compliance officers — covering EU AI Act obligations, AI risk awareness and responsible AI principles.
06
AI-Enabled Resilience Tooling
AI-powered dependency mapping, scenario simulation, breach detection and automated board reporting — moving your OpRes programme from reactive compliance to proactive intelligence.
Engagement Process
From Gap Analysis to Board-Level Attestation
Discovery & Regulatory Mapping (Weeks 1–3)
We assess your current OpRes maturity and AI inventory against applicable frameworks (DORA, UK OpRes, CPS 230, NAIC, EU AI Act). Deliverables include a jurisdictional obligations matrix and a gap-analysis heatmap.
Impact Tolerance & AI Risk Design (Weeks 3–7)
We define impact tolerances for your material business services — including AI-dependent services such as automated claims triage, ML-driven pricing and chatbot operations. Output: board-ready briefing paper with tolerance thresholds and rationale.
Scenario Testing & AI Red Teaming (Weeks 6–10)
Custom severe-but-plausible scenarios covering cyber disruption, third-party failures, AI model drift and algorithmic bias events. We co-facilitate tabletop exercises and deliver a structured test-execution playbook with quantified findings.
Governance, Controls & Remediation (Weeks 9–14)
We design or enhance governance structures, AI oversight boards and control frameworks — then build a prioritised remediation roadmap with named owners, timelines and measurable milestones.
Board Attestation & Ongoing Assurance (Weeks 14–18+)
We compile the evidence pack, draft your board self-assessment report in regulatory language, and provide independent assurance. The methodology is repeatable for annual cycles and multi-jurisdiction filings.
Regulatory Landscape
Key Insurance Resilience & AI Regulations We Cover
T3 aligns your programme to the specific timelines and obligations of each regime, so you can demonstrate compliance across every jurisdiction you operate in — without duplicating effort.
| Jurisdiction | Framework | Status | Key Obligation |
|---|---|---|---|
| EU | DORA | In force Jan 2025 | Annual ICT risk reviews, calibrated TLPT, third-party oversight |
| EU | EU AI Act | Phased from Aug 2025 | High-risk AI system obligations for credit scoring, insurance pricing |
| UK | FCA / PRA OpRes | Full regime from Mar 2025 | Annual board self-assessment, impact tolerances for IBS |
| Australia | APRA CPS 230 | Commenced Jul 2025 | Annual resilience responsibilities, legacy outsourcing transition by Jul 2026 |
| Canada | OSFI E-21 | Phased to Sep 2026 | Board accountability, resilience outcomes, risk management expectations |
| US | NAIC AI & Solvency | Finalising 2026 | AI governance, data governance and risk-based capital frameworks |
Proof of Impact
How We Have Helped Regulated Firms
Use Case
Responsible AI Framework for a Global Tech Firm
T3 augmented and operationalised a Responsible AI framework meeting regulatory requirements across the EU, UK and US. We enhanced RAI principles, formed a dedicated AI Ethics Board, developed fairness and impact testing methodologies, established a tiered transparency reporting process and conducted regular audits to monitor bias, performance and compliance.
Result: Streamlined compliance processes with measurable ROI improvements and market-leading AI initiative credibility.
Use Case
AI Literacy Programme for a Regulated Bank
We assessed current literacy levels, defined tailored learning objectives aligned with EU AI Act requirements, developed e-learning modules and interactive workshops, and established continuous feedback loops. The programme addressed foundational AI gaps, regulatory confusion, cultural inertia and the heightened risk of biased AI outcomes.
Result: Increased staff confidence and AI proficiency, reduced AI-related risks and stronger competitive advantage through responsible AI adoption.
Awards & Recognition
Winner — 2025 AI Leader of the Year, Women in Governance Risk & Compliance
Winner — 2025 North America AI Leader of the Year, Women in AI
Top 33 — 2025 Women Shaping the Future of Responsible AI, She Shapes AI
Who This Is For
Insurance Leaders Navigating AI & Resilience
CROs & Risk Committees
Integrating AI model risk into enterprise risk taxonomy
Compliance & Legal
Meeting DORA, EU AI Act and NAIC reporting obligations
CTOs & CDOs
Governing AI vendors, data lineage and model performance
Board Members
Signing off annual OpRes attestations with confidence
Actuarial & Underwriting Heads
Ensuring ML-driven pricing models are explainable and bias-tested
Internal Audit
Validating resilience controls and AI governance effectiveness
Measurable Outcomes
60%
Faster dependency
mapping
24/7
Real-time breach
detection alerts
80%
End-to-end service
visibility
85%
Effort reduction in
reporting & updates
Frequently Asked Questions
Insurance OpRes & AI Governance
Why do insurers specifically need AI governance alongside operational resilience?
Over 70% of UK retail credit and insurance applications are now scored with machine learning. Fraud engines, claims chatbots and underwriting models run continuously. If any of these AI systems fail, the impact is not merely an IT incident — it can mean wrongly declined mortgages, missed sanctions-screening or frozen onboarding. Regulators under DORA, the UK OpRes regime and CPS 230 now expect firms to treat AI as a critical business service. That means AI must be visible, tested and recoverable — with boards accountable.
What regulatory frameworks does T3 cover for insurers?
We align your programme to DORA (EU), UK FCA/PRA Operational Resilience, APRA CPS 230 (Australia), OSFI E-21 (Canada), NAIC AI & Solvency frameworks (US), the EU AI Act, ISO 42001, and NIST AI RMF. Our cross-jurisdictional approach ensures a single integrated framework that satisfies multiple regulators without duplicating controls.
What is T3's specific expertise in AI risk management?
T3's Head of Responsible AI, Jen Gennai, founded Google's Responsible Innovation team and contributed directly to the NIST AI Risk Management Framework, OECD AI Principles, ISO 42001, the EU AI Act and UK Safety Principles. T3 team members have delivered AI risk management for two of the three largest technology companies in the world. This frontline experience with frontier AI systems is embedded into every insurance engagement we deliver.
How long does a typical insurance OpRes engagement take?
A comprehensive programme — from discovery and regulatory mapping through to board attestation — typically runs 14–18 weeks. Modular engagements are also available: impact tolerance design (4–6 weeks), scenario testing (6–8 weeks), third-party resilience deep-dive (5–7 weeks) or AI red teaming (2–10 weeks depending on scope).
Can T3 provide independent assurance for our annual OpRes attestation?
Yes. Boards are expected to support their attestations with independent review — either through internal audit or an external assurance provider. T3 provides independent OpRes assurance designed for FCA/PRA, DORA and global supervisors. Our repeatable methodology embeds resilience into your yearly planning cycle and ensures your evidence pack is internally consistent and regulator-ready.
Ready to Embed AI Governance Into Your OpRes Programme?
Book a free advisory call with our insurance resilience and AI risk specialists. We will assess your current position and outline a proportionate path to board-level assurance.
Book a Free Advisory CallOr contact us directly | UK: +44 20 8087 0917 | US: +1 213 659 0224
