What does an AI consultancy for UK insurance firms actually do?
We audit where AI fits inside the policy lifecycle and where it does not, build on the stack you already run (Guidewire, Duck Creek, your policy admin and case-management estate, Microsoft 365), and leave a senior engineer in the team to keep claims, underwriting and complaints workflows moving safely. We do not sell strategy decks. The output is an auditable workflow your senior reviewers can defend.
Will AI replace claims handlers, underwriters or compliance reviewers?
No. The FCA's position is that senior managers retain personal accountability under SMCR regardless of how a decision was reached, and Consumer Duty applies to the customer outcome, not the tool that produced it. The DUAA 2025 requires meaningful human intervention by a reviewer with authority and competence to override the AI for any significant decision, and an insurance claim repudiation, a refused renewal, or a complaints outcome all clear that bar. We build copilots that let handlers and underwriters work through more cases at higher consistency, with a citation-anchored audit trail per interaction.
How does this work with ICOBS, Consumer Duty and the FCA Insurance Conduct rulebook?
The audit covers every workflow where AI touches a policyholder outcome (claim, renewal, complaint, vulnerable-customer flag) and produces a written report that names what is being used where, who is accountable inside the firm, and what evidence the audit log needs to retain. The conduct interpretation against ICOBS, Consumer Duty and the FCA Handbook stays the responsibility of your conduct reviewers. We produce the engineering artefacts they need to do that work; we do not certify against the rulebook ourselves.
What about Solvency II and PRA SS1/23 if we are an authorised insurer?
Solvency II governs prudential capital, not directly the AI you put in front of an underwriter, but PRA SS1/23 is technology-agnostic and captures AI and ML models used in significant business decisions. For PRA-regulated carriers the audit covers internal model use, ORSA inputs and capital-affecting decisions as separate workflows from copilot drafting, and produces the engineering artefacts (audit log shape, model versioning, data lineage) your model-risk function needs. The interpretation against SS1/23 and your existing MRM framework stays with your model-risk and prudential leads.
How do you handle Financial Ombudsman Service exposure on AI-assisted complaints and claims?
FOS rulings have been clear: an algorithm declining a claim or rejecting a complaint does not transfer accountability away from the firm. We design the workflow so any AI-assisted decision that could end up at FOS (claim repudiation, renewal refusal, vulnerable-customer triage, complaints outcome) sits behind a named human reviewer with the citations, the retrieved context, the model's confidence signal, and a real path to override. The audit log retains the full trail per FCA SYSC and ICO guidance.
Can we keep policyholder data on-prem or in a UK / EU controlled environment?
Yes. Anthropic Claude on UK / EU regions or OpenAI on Azure UK / EU as the default cloud options, open-weights models on private GPU for sovereign requirements, and full on-prem for carriers and brokers where data residency rules out cloud LLMs entirely. We also ship zero-retention OCR for claims documents, FNOL packs, medical reports and broker submissions. Every deployment carries an ISO 27001-aligned audit logging trail and a UK GDPR data processing register.
Does this integrate with Guidewire, Duck Creek, our PAS, our broker platform and Microsoft 365?
Our verified integrations include Microsoft 365 (SharePoint, document libraries, Entra ID), Power Automate for workflow integration, Salesforce Financial Services Cloud, REST / SOAP API connections, on-prem PostgreSQL, and Langfuse for prompt versioning and trace logging. For Guidewire ClaimCenter and PolicyCenter, Duck Creek Suite, Sapiens and Acturis we integrate at the API / message-bus boundary rather than re-platforming. We scope the integration honestly during the audit, and we do not name PAS platforms we have not delivered against.
How does AI help with insurance fraud detection without crossing the conduct line?
AI fraud detection works best as a triage signal, not a decision. We build pattern-recognition layers that flag claims for further investigation alongside the existing IFB / CIFAS / industry register checks. The triage never auto-denies and never auto-cancels a policy. The flag is one input to a human investigator who still owns the repudiation decision under SMCR and ICOBS. False-positive rates are tuned for the operational reality that wrongful refusal is a conduct breach and a FOS exposure, not just an inconvenience.
How long does an insurance AI engagement take, and what does it cost?
The audit is fixed-fee and fixed-scope. A Transformation Block is a build-and-train engagement priced per scope and ships configured workflows inside your existing policy-admin and claims-management stack with the team trained on them. The Senior AI Lead is a rolling monthly retainer that begins once you have a Transformation Block in production. A bespoke build (a claims-triage platform, a private knowledge system over the underwriting manual) is scoped after the audit since the price reflects what the audit surfaces. Numbers are shared during a discovery call so we can size against what you actually want to do.
How is OpenKit different from the Big Four, Insurtech UK members, or a fractional CAIO?
The Big Four split strategy and implementation across separate teams on separate budgets; the senior engineer on day one is rarely the senior engineer on day ninety. The productised insurtech offerings (Tractable, Sprout.ai, Shift Technology, Charles Taylor InsureTech) sell a product against their own model and corpus, not a build against yours. The fractional CAIO retainer puts an advisor in the room but does not write code. We do both: a senior engineer audits the work, scopes the build, ships the integration into Guidewire / Duck Creek / your PAS, trains the team, and stays on as the Senior AI Lead. Our audit is fixed-fee, which the buyer can self-qualify against without a procurement cycle.
