Applied AI · Manufacturing & industrial
AI Strategy & Advisory for Manufacturing & industrial
Cut through the AI noise. Find the few use cases worth doing, ship them safely, and govern them properly.
Why it matters in manufacturing & industrial
Production can't simply be rebooted, and much of the technology running it is decades old. You need a plan to modernise and integrate, and the security to keep the line running when an attacker comes knocking.
- →Modernising and integrating decades-old plant, ERP and data systems
- →OT/IT convergence: connecting the factory floor without exposing safety-critical systems
- →Turning IoT and production data into value, architecture, platform and roadmap
- →Ransomware resilience where an outage stops the line, not just the email
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
NIST CSFISO 27001Cyber Essentials
How we work in manufacturing & industrial
We own the modernisation and integration roadmap and secure the OT/IT boundary, making pragmatic calls about what to build, modernise, isolate or replace, and planning for the outage you hope never comes.