Work order research cut from hours to minutes
Forward Deployed AI Engineers automated work order research inside an energy cooperative's operations, removing 70,000+ hours of manual effort a year.
- Hours saved per year
- 70,000+
- Annual savings
- $1.5M
- Research time per work order, from 1–2 hours
- 5 min
Where it started
Field and back-office teams spent one to two hours researching each work order across disconnected systems before work could be scheduled, which capped throughput and made cost per order unpredictable.
How we ran it
- 01
Embed with the operations team
Forward Deployed AI Engineers worked inside the client's own workflow rather than from a separate delivery queue, mapping how work orders were actually researched and scheduled.
- 02
Automate the research step
The research path across systems was automated so the information needed to action a work order was assembled for the operator instead of gathered by hand.
- 03
Leave the stack in place
The automation stack stays with the client permanently after the engagement, so the saving is structural rather than dependent on continued consulting presence.
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