The Problem
Most insurance firms provide technically compliant disclosure. Exclusions appear in the policy wording, key facts documents exist, terms are legally accurate. But customers regularly discover what their policy does not cover at the worst possible moment: when they make a claim. The FCA cited this as a systemic failure across the market. It is not a documentation problem — it is a journey design problem. The information existed; the journey did not surface it when it could have changed a decision.
The Pattern
The structural move is to redesign when and where material limitations appear in the customer journey — making the most consequential information visible before commitment, not discoverable after it:
Indicators It's Working
In Practice
A home insurer analysed its claims complaints and found that 34% cited lack of awareness of a specific exclusion — accidental damage not being included in the standard policy. The exclusion was on page 14 of the policy booklet. They restructured the online purchase journey to present the three most consequential exclusions as a confirmation step before payment, requiring the customer to acknowledge each one. Claims complaints citing coverage unawareness fell by 41% within two quarters. The policy wording had not changed. The journey had.
A travel insurer discovered that 60% of declined claims for pre-existing medical conditions involved customers who had declared their condition at purchase but had not understood that it was excluded from cover. The declaration question was designed to collect data, not to communicate consequences. They redesigned the declaration flow so that each medical condition entered triggered an immediate, plain-English explanation of what would and would not be covered. Disputes about pre-existing condition exclusions dropped by half. The information had always been available; the journey now surfaced it at the moment it mattered.
Watch-Outs
The most common failure mode is treating this as a content problem rather than a journey problem — rewriting exclusion language in plainer English without changing when and where it appears. A second is designing the journey for the average customer and treating vulnerable or low-literacy customers as edge cases, inverting the correct design logic. A third is adding disclosure touchpoints that create information overload: the goal is not more information but better-placed information. If the customer sees twelve warnings, they read none.
Evidence & AI Lens
- E182% of customers report no improvement in how insurers communicate post-Consumer Duty — suggesting that content changes without journey changes are not working
- E2The FCA’s Consumer Understanding outcome requires firms to evidence that customers can make informed decisions — not merely that information was provided
- E3The FCA cited an insurer that restructured its online purchase path to surface exclusions before application as an explicit example of good practice
- E4The FCA’s foreseeable harm principle requires firms to anticipate and prevent harm from misunderstanding, not just respond to it after the fact
Natural language processing can scan existing policy wordings and customer communications to identify where exclusion language is buried or appears below readability thresholds. Journey analytics platforms can map the points where customers encounter material limitations and measure whether those points precede or follow commitment. At claims, AI triage can flag cases where a customer’s stated expectation does not match policy terms — enabling proactive human intervention to set expectations before a formal decision is issued.