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Retail, e-commerce & consumer

AI at volume, on free tools, with customer data.

Retailers use AI in service, marketing and operations at high volume — and more than half rely on free-to-use tools, carrying customer data, card data and brand risk with them.

SECTOR SNAPSHOT Retail, e-commerce & consumer 54%
Retail, e-commerce & consumerGenWA · sector view
54%

of retail AI adopters rely on free-to-use tools (ONS via WatchPro, 2026, secondary)

46%

of retail adopters report operational improvement; 25% personalisation (ONS via WatchPro, 2026, secondary)

72%

of AI-adopting UK firms use it in marketing, the most common use (DSIT, 2026)

What your regulator has said

Accountability stays with a named person.

CMA (March 2026): “UK consumer law applies whether decisions are made by people or by AI.” The ICO’s automated-decision rules apply to any AI that ranks, prices or refuses a customer, and the Online Safety Act reaches consumer-facing chatbots.

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
  • Customer service chat and contact centre
  • Product content, campaigns and personalisation
  • Returns, refunds and complaints handling
  • Demand forecasting and stock
What goes wrong
  • Customer and card data in free tools
  • Unreviewed AI copy in market
  • Service bots that promise what policy does not allow
What we do

Contact and Comms with guardrails and a veto. Growth for marketing at scale with brand and claims rules enforced. Gateway metering by channel so cost per interaction is known. Managed accounts to replace free tools.

Built in for this sector

The rules, as controls.

  • Consumer Rights Act 2015
  • CMA guidance on agentic AI and consumers (Mar 2026)
  • PECR and ASA CAP Code
  • PCI DSS
  • UK GDPR and DUAA
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.

Can a service bot be stopped from making promises?

Yes. Rules define what it may offer; anything outside is held for a person. Every conversation is in the ledger.

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.