Reporting without the write-up
Inspection and audit reports drafted from the evidence your teams already capture — hours of write-up reduced to minutes of review.
A live session on where AI is genuinely working in TIC — and where it isn't.
AI is already changing how businesses work. Join Brainpool for a practical conversation about how Testing, Inspection & Certification businesses can reduce repetitive admin and create more capacity for work that relies on technical expertise and judgement.

Zoom sends your joining link and calendar invite the moment you register.
No tool tour. Three areas where TIC companies are already seeing measurable change, and the honest limits of each.
Inspection and audit reports drafted from the evidence your teams already capture — hours of write-up reduced to minutes of review.
Decades of technical standards, methods and precedent sit in documents nobody can search. AI trained on your own corpus makes them answerable in plain language.
TIC businesses deal with complex standards, regulations and documentation every day. AI can help reduce the repetitive work around them, while technical decisions and sign-off remain with the people responsible.
Certification bodies, inspection businesses and testing laboratories under the same pressure: rising demand, flat headcount, and no appetite for tools that can't be audited.
If you've been asked what AI means for your accreditation scope, this session is for you.
Responsible for turning AI into meaningful business transformation.
Balancing delivery capacity with growing demand.
Accountable for traceability, quality and accreditation scope.
Responsible for developing an AI approach that stands up to scrutiny.
Co-founder & CEO, Brainpool AI
Peter builds AI systems from the ground up — full-stack production infrastructure that scales from proof-of-concept to enterprise deployment, across finance, healthcare and manufacturing.
Having guided hundreds of AI implementations into production, his view is that successful adoption takes more than algorithms: it needs reliable infrastructure, pragmatic engineering, and systems teams can actually maintain.
He leads a network of over 600 AI and machine learning experts, with specialists from UCL, Oxford, Cambridge, MIT and Stanford.

Our TIC page walks through the four back-office workflows we'll be discussing — quoting, tender response, standards monitoring and report generation — and what each takes to run inside accreditation scope.
AI for Testing, Inspection & CertificationNo. Every example we’ll show gives technical staff more capacity — removing the documentation load around the judgement work, not the judgement itself.
No. The session is built for technical and operational leaders, not data scientists. Where we go into detail, it’s about process and accountability rather than model architecture.
We’ll cover it directly. Brainpool deploys inside your own cloud environment, and you retain ownership of what we build — both of which matter when an assessor asks how a report was produced.
Yes — registered attendees get the recording and the slides afterwards. The live hour is where the Q&A happens, though, and that’s the part people tell us was most useful.
It’s a working session on what does and doesn’t hold up in TIC. If you want to talk afterwards, we’ll make that easy — but the hour stands on its own.
Tuesday 3 November 2026 · 11:00–12:00 GMT
Free, on Zoom. 40 minutes with Peter Bebbington, then 20 minutes of live Q&A.
Register nowCan't join live? Register anyway — everyone who signs up gets the recording and slides.
Name, work email, company and job title. Nothing else.