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Insurance

The most AI-intensive sector in UK finance. And the most exposed.

Insurers use AI in pricing, claims, underwriting and service more than any other financial sector — the Bank of England found 95% adoption.

SECTOR SNAPSHOT Insurance 95%
InsuranceGenWA · sector view
95%

of UK insurers use AI (Bank of England/FCA, 2024)

21

use cases expected per firm within three years, up from nine (Bank of England/FCA, 2024)

23%

rate data protection as a large constraint on AI (Bank of England/FCA, 2024)

What your regulator has said

Accountability stays with a named person.

PRA SS1/23 (April 2026) applies to AI and vendor models used in pricing, claims and underwriting; responsibility sits with a named SMF holder. Health data in claims is special-category data under UK GDPR, where the automated-decision reforms do not relax the rules.

Regulator statements summarised from the published guidance; see the sources on the Problems page. This supports compliance; it is not legal advice.

Where AI is already used
  • Claims triage and document extraction
  • Underwriting support and summarisation
  • Customer service chat and voice
  • Fraud indicators
What goes wrong
  • Special-category data (health) in prompts
  • Pricing and claims models without a documented human check
  • Vendor AI inside policy administration systems
What we do

Gateway redaction for health and financial data. Rules with named exclusions for claims and pricing decisions. Change Control and sandbox testing before any model switch. Evidence Packs mapped to ISO/IEC 42001 and UK GDPR.

Built in for this sector

The rules, as controls.

  • FCA Consumer Duty
  • PRA expectations
  • ICOBS
  • UK GDPR (special-category data)
  • PCI DSS
The first ninety days
StartSet up with your teamRegister across managed accounts and the systems this sector runs on, set up by our team with your IT lead. Nothing for your people to install.
48 hFirst findingsEvery tool, account and pound. Personal accounts named. Sector rules checked.
Day 10Report and planAudit, evidence pack outline, 90-day plan, and the cost of doing it with us.
Day 90Under controlGateway live, rules enforced, first agent on a job with a named owner, value register running.
insight.genwa.co.uk/overview
Overview · September 2026example data · 310 people
Policy breaches · 30 days143 open · 11 resolved
Data stopped before leaving128items redacted or blocked
Personal AI accounts31 → 4migrating to managed
Spend vs budget£11,240of £14,000 · saved £4,870
Issues detected · needs attention first
Issue Rule Severity Owner Status
Payroll file uploaded to an external AI tool R-15 High HR Director Blocked · reviewed
31 personal AI accounts found in Sales R-02 High Head of Sales Migrating · 27 done
Customer data in a prompt without redaction R-01 High Ops lead Redacted · 0 left
Premium model used for internal drafts · 412 requests R-07 Medium Engineering lead Rerouted
CRM "AI assist" running without a DPIA Policy Medium Head of Sales DPIA in progress
Agent attempted an external email R-12 Low S. Reid Held · approved
Questions we are asked

From this sector.

We use a vendor claims platform with AI built in. Is that covered?

Yes. Register finds AI features inside vendor systems and puts them in the same register with an owner, a purpose and a data classification.

Where does our data go?

Nowhere new. Everything runs inside your own cloud account. Nothing routes through GenWA's infrastructure. Sensitive data is removed before a request leaves your environment.

Find out where your AI stands. Then decide.

Under a minute, an upload, or a visit. Something for the board either way.