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. Downtime is measured in lost output, and the attack surface now spans both the factory floor and the back office.
- →OT/IT convergence: connecting plant and ERP without exposing safety-critical systems
- →Ransomware resilience where an outage stops the line, not just the email
- →Supply-chain and supplier security across a long, often analogue, chain
- →Modernising decades-old systems that can't be patched on a normal cadence
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
IEC 62443NIST CSFISO 27001Cyber Essentials
How we work in manufacturing & industrial
We segment and secure the boundary between OT and IT, plan for the outage you hope never happens, and make pragmatic calls about what to modernise, isolate, or replace.