Seamflow joins the UK AI Assurance Stakeholder Consortium's Industry Advisory Group
Seamflow has joined the techUK-led Industry Advisory Group of the BCS-led, government-backed UK AI Assurance Stakeholder Consortium, helping build a trusted, responsible AI assurance profession.
Seamflow has joined the Industry Advisory Group of the UK's AI Assurance Stakeholder Consortium, the BCS-led, government-backed initiative to establish a recognised AI assurance profession in the UK. The Industry Advisory Group is led by techUK and brings industry practitioners into the consortium's work.
As a company that builds AI for testing, inspection and certification (TIC), we see this as a natural fit. Our customers have spent decades making physical products and infrastructure trustworthy. We believe the same principles should shape how AI is assured, including the AI used in assurance itself.
What is the AI Assurance Stakeholder Consortium?
The AI Assurance Stakeholder Consortium is a UK initiative convened by the Department for Science, Innovation and Technology (DSIT) and led by BCS, The Chartered Institute for IT. Its purpose is to build a recognised, trusted AI assurance profession in the UK.
The consortium brings together professional bodies, standards organisations, industry, civil society and independent experts. Its wider aims are to build trust in AI and support the growth of the UK's AI assurance market.
What is the Industry Advisory Group?
The Industry Advisory Group (IAG) is the consortium's industry voice, led by techUK. It brings together practitioners from companies that build, buy and deploy AI, so that the consortium's work reflects how AI is actually used in practice.
The group is working towards:
- A recognised AI assurance profession in the UK
- Safe and responsible AI
- A growing UK AI assurance market
- Work grounded in real industry practice
What is AI assurance, and why does it matter?
AI assurance is the process of checking that an AI system is safe, reliable and works as claimed. It gives the people who build, buy, use and regulate AI evidence they can trust.
It matters because AI is moving into decisions that affect safety, money and people's lives. Without independent, credible assurance, organisations struggle to adopt AI with confidence. A recognised profession, with clear expectations of the people doing the assuring, is a key step towards that confidence.
Why Seamflow is involved: lessons from testing, inspection and certification
Seamflow builds AI for the testing, inspection and certification (TIC) industry. TIC organisations are the reason people can trust that a pressure vessel, a power line or a medical device is safe.
That world has already solved many of the problems AI assurance now faces. Three principles stand out:
- Competency standards: clear expectations of what an assurer must know and be able to do
- Independence: assessment carried out by people with no stake in the outcome
- Auditable evidence: every conclusion backed by a record others can check
We want to bring that perspective into the conversation about how AI should be assured in the UK.
Assurance has to go both ways
AI is increasingly part of how products, infrastructure and services are assured. That creates a responsibility in two directions.
AI can help assurers work faster and more consistently. But the AI itself must meet the same standard of scrutiny as the things it helps assess. Tools that support safety-critical decisions should be transparent, tested and accountable.
That is what responsible AI looks like in practice: not a principle on a website, but systems that experts can rely on and that keep people safe.
Our commitment: building AI that meets the standard it helps set
Seamflow is committed to helping define how AI is assured in the UK, so it is safe and responsible for everyone who builds it, uses it and depends on it.
We hold our own products to that standard. As AI becomes part of how the world's physical assets are tested, inspected and certified, we believe the companies building it should be the first to welcome scrutiny.
