The Insurity 2026 data shows what every UK regulated insurer should read carefully: 39% of consumers now think AI improving insurance services is a good idea, up from 20% a year ago. That's real movement. But here's the sharp end—nearly 50% of consumers distrust AI making actual decisions about claims approvals, fraud detection, or policy adjustments. Only one-third trust algorithmic decision-making at all. For mid-market UK insurers operating under FCA Consumer Duty PS22/9, this is not a choice between being modern or old-fashioned. It's a choice between implementing AI responsibly or facing consumer backlash, complaints, and potential regulatory challenge.

This data reflects a pattern we're seeing across financial services and insurance: consumers will tolerate AI as a tool. They will not tolerate AI as a judge. They will accept AI to sort documents, flag risks, speed up triage, or surface patterns. They will not accept AI telling them their claim is rejected without a human in the loop, without explanation, without recourse. The industry has spent four years selling 'automation' and 'efficiency'. Consumers heard 'we won't let you speak to anyone'. The EU AI Act classifies insurance decisions as high-risk. The ICO has made clear that automated decision-making without safeguards breaches UK GDPR. Regulators are catching up to what this study proves: blind automation in claims is not just unpopular, it's indefensible.

At Trovix, we think the mistake most insurance AI implementations make is architectural. Tools like Luminance and Harvey are excellent at document intelligence and legal reasoning—they excel at the reading and analysing parts. But they are designed for speed-to-decision, not for explainability or human oversight at the point where it matters most. We built Trovix Audit because every algorithmic decision in a regulated firm needs to be governance-ready: auditable, explainable, and defensible to the regulator. If you deploy AI to screen claims or flag fraud, that decision trail must be logged, reasoned, and available for review. That's not bureaucracy. That's the difference between innovation that lasts and innovation that creates liability. Trovix Reach exists precisely because we believe the customer-facing parts of AI should be assistants that help humans decide faster, not replace humans deciding at all.

If you are an insurance firm in the UK mid-market right now, here is what you do: audit your current AI usage against FCA Consumer Duty PS22/9 and the emerging standards in Lloyd's Blueprint Two. If you have automated claims decisions, fraud detection flagging, or policy adjustment logic running without human sign-off, you have a compliance gap. If you cannot explain to a customer why their claim was rejected by your system, you have a liability problem. Start building AI governance now, before the first major complaints surge arrives. Use AI where the Insurity data shows it works—triage, document processing, risk flagging, pattern finding. Leave human judgment on the actual decision. That's not slowing down. That's the only way to go fast and stay compliant.

Source: Repairer Driven News