Applied AI · Testing & inspection
AI Strategy & Advisory for Testing & inspection
Cut through the AI noise. Find the few use cases worth doing, ship them safely, and govern them properly.
Why it matters in testing & inspection
Accreditation and data integrity are the business, and the systems your results depend on are overdue for modernisation. The opportunity is better software and data products; the obligation is protecting integrity, traceability and impartiality.
- →Modernising LIMS, instrumentation and integrations, and the roadmap to get there
- →Protecting data integrity and audit trails end-to-end, from instrument to report
- →Building digital and data services that scale without undermining chain-of-custody
- →Securing OT and lab equipment that was never designed to be networked
What you get
- ✓AI opportunity assessment, use cases ranked by value, risk, and feasibility
- ✓Pragmatic build vs buy vs fine-tune decisions, with cost modelling
- ✓Reference architecture for LLM/agent systems: evals, guardrails, and data handling
- ✓AI governance aligned to the EU AI Act and your sector's rules
- ✓Proof-of-concept to production, with the bar set at 'actually useful'
Frameworks & standards
ISO 27001UKAS expectationsCyber Essentials
How we work in testing & inspection
We bring architecture and delivery leadership alongside security discipline, modernising the systems your results depend on while hardening the controls your assessors rely on.