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Rafael Patron

UK & EU · Regulatory bridge

AI in London, between two regulatory models.

UK groups work under the UK’s own approach to AI while serving customers across the EU. Boards need a clear view of both.

§ 01 Context

A financial centre facing two rulebooks.

The UK government set out a principles-based, sector-led approach to AI regulation in its white paper “A pro-innovation approach to AI regulation”, applied through existing regulators.

The EU AI Act reaches UK providers whose systems are placed on the EU market, and UK deployers whose system output is used in the Union (Article 2).

  • Banking and fintech
  • Insurance
  • Legal and compliance
  • Professional services

§ 02 Themes

Questions UK boards bring to the table.

  1. LDN.1

    Exposure

    Which products and services reach EU customers, and which AI systems sit behind them.

  2. LDN.2

    Classification

    Credit scoring, recruitment and similar uses listed in Annex III, with obligations from 2 December 2027.

  3. LDN.3

    Operating model

    One governance framework that satisfies UK regulators and EU obligations together.

  4. LDN.4

    Board reporting

    Accountability, risk appetite and periodic reporting on AI systems in use.

§ 03 Next steps

How to start from London.

An audit call maps EU exposure and priorities; the EU AI Act page collects the timeline and the official sources.