01What happens.
Exposure becomes financially visible at underwriting and renewal. An organisation that can show levels of control, and reasonable steps taken to mitigate its exposure, is better placed on risk quality, coverage cost, limits and terms. An organisation that cannot say what it has online presents the underwriter with an unknown.
02Why it matters.
The renewal conversation now includes AI, and the underwriter puts the questions to the risk manager and the finance director.
In industry benchmarking, 57% name AI errors and misinformation as the top concern threatening AI adoption, and 1 in 5 insurance industry respondents had a client experience loss or claims from AI-related risk in the past year, with just over half fully covered (Gallagher 2026, respondents). Exclusions, endorsements, bolt-on covers and bespoke AI policies are arriving. Not knowing what the organisation has online is a risk in itself, and its impact grows with each renewal.
03The case.
This illustrative scenario is built on the Gallagher 2026 benchmarking and on patterns AAAnow has observed in organisations approaching renewal; no firm is identified.
A mid-sized firm approaches its annual renewal, and the broker's submission covers the usual ground. This year the underwriter adds questions: what the firm has published online, how that material is controlled, whether AI systems can reach the firm's current information, and what AI is telling the firm's customers about it. The questions follow the benchmarking the underwriter's market has published.
The firm's risk manager puts the questions to each function.
The digital team holds a list of the main websites, marketing holds the campaigns it remembers, and compliance holds the register of approved communications. No function holds the estate as a whole, and nobody has looked at what AI says. The answer sent to the underwriter is assembled from 3 partial lists and a search on 1 AI tool, and it is honest: the firm does not know what it has online.
The underwriter prices the unknown. The renewal terms carry an AI-related exclusion on the professional indemnity cover, a higher retention on the cyber cover and a narrower limit on the directors' and officers' cover, and the broker explains that the market is applying this across its book and that firms able to evidence their position see different terms.
The finance director asks what evidence would have changed the outcome. The answer is a known landscape, a record of what has been retired, and a view of what AI is being served, each held before the renewal rather than assembled for it. None of it existed, and the terms reflected that. The firm's exposure had not changed since the last renewal; the market had started to ask, and the firm had nothing to show.
04Exposure.
Directors are expected to take reasonable steps to mitigate the risks the organisation faces, and an estate the organisation cannot describe is a risk left unmitigated. That expectation sits in governance codes and in the underwriter's questions. It is not a finding of breach, and whether any duty is engaged on the facts is for the firm's advisers to judge.
The renewal is where the expectation is priced.
The exclusion, the retention and the limit are paid for a year, with a gap in cover if an excluded loss arrives, and at the next renewal the firm is asked for the evidence it undertook to produce. The gain runs the other way: an organisation that knows its landscape, has removed what no longer serves and monitors what remains carries that evidence into renewal. No outcome is automatic.
05What AI Readiness changes.
The view the underwriter asked for is the one the firm did not have: its landscape as it stands from the outside. AAAnow supplies it, reading the landscape from the outside, evidencing what is online, what AI is drawing on and where AI routes are turned away, and placing the position on the AI Readiness Maturity Scale™. On that basis the firm can decide what is retired, what is corrected and what is monitored, and answer the underwriter's questions with a record of control in place of the answer it offered this year, that it did not know.
Your team makes the changes; AAAnow provides the assessment, the evidence, the guidance and the review.
06Related use cases.
Forgotten sites nobody was patching: AI finding and highlighting vulnerabilities
The cyber surface the underwriter prices.
Regulator's questioned governance where the compliance register stopped
The same unknown estate, asked about by the regulator.
The estate the digital team had warned about for years
The map that produces the evidence renewal requires.
07References.
- Gallagher, AI adoption and risk benchmarking 2026: 57% naming AI errors and misinformation the top concern threatening AI adoption; 1 in 5 insurance industry respondents with a client loss or claim from AI-related risk in the past year, just over half fully covered; exclusions, endorsements, bolt-on covers and bespoke AI policies emerging. www.ajg.com/news-and-insights/features/ai-adoption-and-risk-benchmarking-2026ajg.comWe do not enable external links - please copy and paste, you are then certain as to the link being opened
- Illustrative scenario. Renewal outcomes vary by insurer, cover and circumstance.
Next step
Talk it through, in your terms.
The briefing sets this case in your organisation’s terms, and the discussion follows your questions.
Illustrative scenario, drawn from industry benchmarking. No firm is identified.