The 2026 Insurity report tells a story in two parts, and mid-market UK insurers need to read both. Consumer approval of insurer AI has nearly doubled from 20% to 39% in a single year—a significant shift. But the same study reveals that nearly half of consumers distrust AI when it touches the decisions that matter most: claims approvals, fraud detection, and policy adjustments. For FCA-regulated firms subject to Consumer Duty PS22/9, this is not just sentiment data. It is a warning that automation without transparency and meaningful human oversight will create liability, complaints, and reputational damage. The firms deploying AI to speed up claims approval without building in robust explainability and human control points are heading toward enforcement action.

This pattern is not unique to insurance. Law firms deploying Harvey or document AI tools report similar friction: clients love efficiency gains on due diligence or document review, but resist black-box decision-making on liability assessment or case strategy. Financial services firms have seen the same pushback on algorithmic lending decisions. The industry is learning that consumer acceptance of AI follows a simple rule: use it to augment human capability, not replace human judgment where stakes are high. The firms moving fastest are not those implementing the most AI—they are those being honest about where AI adds real value and where it adds only cost-shifting. The EU AI Act and the incoming era of algorithmic impact assessments will make this distinction regulatory law, not just best practice.

At Trovix, we see this play out in how firms implement governance. Many insurers and law firms buy an AI tool—Luminance, Legora, or generic Copilot—plug it into a workflow, and assume they have solved a problem. They have actually created a new one. Without proper governance frameworks, audit trails, and decision-making transparency, these tools become compliance liabilities dressed up as efficiency gains. That is why tools like Trovix Audit matter. You need real-time visibility into how AI is making decisions, which calls are human-overridden, where biases emerge, and whether you are actually meeting your SRA Code, PRA SS1/23, or ICO UK GDPR obligations. The firms that will win the next two years are not the ones with the fanciest AI. They are the ones that can prove to regulators, customers, and their own leadership that their AI is working as intended and that humans remain in control.

If you run a mid-market insurer, law firm, or financial services practice, the action is clear. First, stop deploying AI to decisions you cannot or will not explain to a customer or a regulator. Claims approval, underwriting, fraud scoring—these need human sign-off and audit trails, not faster automation. Second, invest in governance infrastructure now, before you scale AI further. Use Trovix Watch to track regulatory change (the EU AI Act deadline is moving closer), and Trovix Audit to monitor what your AI is actually doing. Third, be transparent with your customers about where and why you are using AI. The 39% approval figure in the Insurity study rises sharply when firms explain their approach. The 50% distrust figure is the cost of secrecy and automation theater.

Source: Repairer Driven News