Free Resources
Practical guides, reference sheets, and templates to help your engineering team adopt AI with confidence.
The art of the possible with Copilot for pressure systems documentation
What Copilot already does well with pressure systems documents, where it breaks on drawings and scans, and where the competent person takes over. Slides, a four-page cheat sheet and a synthetic test pack from the IMechE Lifecycle of Pressure Systems 2026 conference.
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The Harness Engineering cheat sheet and agent requirements template
Two practical resources from the Harness Engineering webinar with Nicole Koenigstein: a guide to what the harness controls and how its parts affect each other, and a template for planning your own agent before you build it.
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AI in engineering: what's possible vs what's actually happening
What generative and agentic AI can genuinely do, what is actually deployed and what the organisations that get past pilot do differently. From the IMechE Digital and Emerging Technology Focus Week 2026.
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Applying AI and Simulation Outputs to Real Engineering Decisions
AI surrogates can return a CFD or FEA result in seconds. Coding agents can write the tools around your solver, and some can now drive the solver itself. None of that tells you whether the output is good enough to act on. This talk sets out how far to trust it at each stage of a design decision, using published cases and two tools I've built.
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How to Pitch an AI Use Case to Your Leadership Team
A one-page framework and free AI skill for structuring an AI pitch so a busy leadership team gets the answer first, based on the Minto Pyramid. Built for engineering managers, digital champions and innovation leads who need sign-off.
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Industrial AI Failure Report
A 20-page research report on why industrial AI projects fail at twice the rate of standard IT projects, covering the six root causes and the four-phase fix, drawn from live cases in rail, aerospace, energy and manufacturing.
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9 Ways AI Agents Fail in Production
The failure modes that kill AI agents in production, with root causes and fixes. Most are architecture problems, not model problems.
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Every AI Standard an Engineering Organisation Needs to Know
12 standards, frameworks and guidelines across five categories, from ISO/IEC 42001 and the EU AI Act to the UK AI Playbook. Free to download.
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