Engineering team projects 21x ROI from practical AI training
An engineering and infrastructure team projected a 21x first-year ROI, £279k in annual value recovered, and 69 minutes saved per person per day after a bespoke Copilot training programme built around bids, reporting, and technical document work.
21x
Projected first-year ROI
£279k
Projected annual value recovered
69 min
Average daily time saving per person
84%
Would recommend the training to colleagues
The challenge
An engineering and infrastructure manufacturer wanted to move beyond broad AI curiosity and find practical uses for Copilot across technical, commercial, and operational work. The team needed help identifying where AI could save time without disrupting live projects, quality standards, or client-facing outputs.
What we did
We delivered a bespoke Mastering Copilot session built around the work this kind of team actually does: bids, technical documents, internal reporting, presentation creation, market research, and engineering-focused knowledge work. Attendees explored practical use cases including technical-data agents, document and reporting workflows, presentation drafting, and pattern analysis across historic project outcomes. We then captured post-class feedback to estimate likely adoption and ROI.
Key AI use cases
The session focused on the kinds of workflows that slow engineering and infrastructure teams down: searching for technical answers, turning specialist knowledge into client-ready documents, and assembling repetitive reporting. Participants explored building an internal agent trained on company technical data, improving reporting workflows, and using AI to create presentations, summarise market research, and compare project information more quickly.
The strongest signals came from practical operational use cases rather than abstract experimentation. Teams identified opportunities in bid support, technical research, document drafting, and win-loss analysis, all of which have direct margin implications in project-led businesses.
Yes! Doing research will be faster and more efficient.
Training participant
Engineering & infrastructure team
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