In September 2025, the Department for Science, Innovation and Technology (DSIT) published its Trusted Third-Party AI Assurance Roadmap. This roadmap set out government's plan to professionalise and grow the UK's AI assurance market, in line with commitment 29 of the AI Opportunities Action Plan. The roadmap set out four immediate actions: convening a consortium to professionalise the market, developing a skills and competencies framework, mapping information access best practice between assurance providers and those they assess, and launching an AI Assurance Innovation Fund.

A year on, that consortium, chaired by BCS and supported by DSIT, with techUK leading its Industry Advisory Group, is moving from ambition to delivery: work is underway on a voluntary code of ethics, a skills and competencies framework, and a map of the information access developers need to give assurance providers to do their job properly. We also saw the launch of the Centre for AI Measurement, led by NPL, to deliver on the objectives of the AI Assurance Innovation Fund by underpinning AI assurance with metrology and helping move trustworthy technical assurance tools to market faster.

This gathering brings the ecosystem back together to take stock of what's been built, pressure-test it against the reality practitioners are seeing, and shape what comes next.

This builds on techUK's sustained work in this space, and sits alongside a wider body of work from across the ecosystem on what professionalisation should look like in practice.

Why this matters now

The UK's AI assurance market is growing fast, worth over £1 billion in GVA in 2024, with the potential to reach £18.8 billion by 2035, and already employing over 12,000 people across the ecosystem. But the sector still faces structural challenges: no agreed competency framework, unclear career pathways, and no professional body to set and uphold standards. At the same time, demand for assurance is accelerating from every direction; investors requiring assurance evidence in due diligence, insurers factoring assurance into coverage decisions, and procurement teams increasingly treating AI governance as a contractual requirement. Getting professionalisation right is now foundational to all of it.

Underpinning all of this is the need for credible, comparable measurement, without common benchmarks and metrics, assurance claims are difficult to verify or compare across providers, which is exactly the gap the Centre for AI Measurement has been established to close. Supporting innovation in how we measure and evidence AI system performance matters just as much as professionalising the people and processes that sit around it.

Ultimately, AI assurance is not a compliance exercise. Done well, it supports genuine risk mitigation and creates a stronger, safer environment for innovation, an environment of justified trust, built through evidenced action rather than assumed confidence.

What we'll cover

The summit will be structured around the roadmap's four workstreams, one year on:

  • Professionalising the market: progress from the AI Assurance Consortium on a voluntary code of ethics, and what a credible path to professional certification looks like, starting with AI auditing
  • Skills and competencies: testing the emerging skills and competencies framework against what practitioners are actually experiencing on the ground, building on the Alan Turing Institute's work on AI auditor competencies
  • Information and data access: working through what "good" information sharing between developers and assurance providers should look like in practice, and where the sticking points remain
  • Innovation and future-proofing: what the AI Assurance Innovation Fund should prioritise as it opens for applications, the role of NPL's new Centre for AI Measurement in underpinning assurance with metrology, and how the market stays ready for step-changes in AI capability

Sessions will draw on and respond to the wider body of work published over the past year, including Ada Lovelace Institute's Going Pro?, techUK's Mapping the Responsible AI Profession, BCS's work on Meeting Ethical Standards through Professional Standards, the Association of AI Ethicists' Who is an AI Ethicist?, and IAPP's AI Governance Profession Report.

Who should attend

This summit is designed for:

  • AI assurance and evaluation providers, and auditors
  • Members of the AI Assurance Consortium and its Industry Advisory Group
  • Responsible AI leads and practitioners in organisations building, buying or deploying AI
  • Professional bodies and standards organisations
  • Investors and insurers relying on assurance evidence
  • Policymakers and regulators, including DSIT, AISI and UKAS
  • Skills and training providers

Background reading


Tess Buckley

Tess Buckley

Senior Programme Manager in Digital Ethics and AI Safety, techUK



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