AI in action:
manufacturing
From promises to proof, real-world case studies
AI in action for manufacturing teams
With fiercer competition, tighter time-to-market requirements, supply chain shocks, OPEX cuts, talent gaps and safety demands, even the best-run factories face blind spots and bottlenecks. An increasing number of people are relying on AI to address this.
You’ve heard ‘we need to do AI’, but you need proof — not just promises — that AI can deliver real performance gains for engineering teams.
AI in action: from promises to proof is a curated selection of high-impact AI case studies, showing how leading organisations solve real manufacturing challenges with measurable results.
What's inside
Real AI implementations that have:
- Optimised processes
- Enhanced quality inspection
- Improved training and work instructions
Each case study details the specific AI application, challenges addressed, and measurable outcomes achieved, designed for the constraints and safety requirements of manufacturing.
No hype. No theory. Just proven AI implementations from leading organisations that moved beyond proof-of-concept to deliver production-grade results.
Our new five-part video series reveals the practical building blocks that separate successful AI implementations from expensive experiments.
The building blocks of AI
Our new five-part video series reveals the practical building blocks that separate successful AI implementations from expensive experiments.
Ready to build what matters most?
Whether you’re building software faster, elevating product performance, or maximising production efficiency, AI becomes truly powerful when it’s tailored to your real needs and able to deliver tangible outcomes.
With over 15 years of experience delivering production-grade AI in highly regulated industries, our experts know what it takes to turn ambition into execution, responsibly, securely, and at pace.