A few practical tools to define the work, test your assumptions, and make the next decision with evidence.
SHARED KNOWLEDGE. FREE FOR UTILITIES.
Lessons from utility AI projects, brought together in a practical guide and an editable planning deck. Use them with your team, make them your own, and pass them on.
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THE UTILITY AI RESOURCE COLLECTION
PPTX + PDF Digital downloads for your next working session
PPTX / 14 editable slides / 2.3 MB
Bring a clear starting point to your next leadership meeting or team workshop.
PDF / 41 illustrated pages / 2.1 MB
Learn from utility experiences and work through the decisions behind a useful pilot.
Draws on anonymized utility experience, with practical planning tools developed for this collection. About our sources
Start with one repeatable task. Include the time it takes to review the result.
Annual hours = monthly tasks × 12 × adoption × (minutes saved − review minutes) ÷ 60.
Capacity value = annual hours × fully loaded hourly cost. Net annual value deducts running cost. Year-one value also deducts one-time implementation cost.
The model assumes a full year at the adoption rate you enter, with stable task volume and time savings. It does not model a gradual rollout. If review takes longer than the time saved, the result is negative.
Time only becomes a cash saving when a budget changes—for example, avoided overtime or external spend. Track those changes separately. Validate all assumptions in a pilot, and include quality, service, and risk outcomes alongside time.
You do not need perfect data or a company-wide transformation plan. You do need a clear task, people who own it, and a way to tell whether it works.
Tick what you have in place. Use the gaps to shape your next conversation.
A working template for the problem, baseline, data, operating boundaries, success criteria, and decision to scale—or stop.
Download pilot brief Markdown · editable in any text editor · no signup