ManufacturingAI Agents & Automations6 Weeks
A utility-scale renewable energy provider managing over 500 compliance tasks per quarter had outgrown its spreadsheet-based tracking as the project portfolio expanded. We set up AI agents and workflow automations that sort, assign, and monitor every task while feeding a live analytics dashboard.
From 1-in-5 to 1-in-30
Missed Deadline Rate
20+
Weekly Hours Recovered
3 → 1
Systems Consolidated

“Now the system creates the tasks, sends the reminders, and we actually have a dashboard we check every morning instead of digging through spreadsheets.”
James Harlan
Operations Manager, Energy Provider
Before
1 in 5 tasks missing deadlines, Data spread across 3 systems, Manual performance reporting
After
Fewer than 1 in 30 missed, Single centralized task platform, Live KPI dashboard for leadership
Narrative
The Challenge
The operations team managed over 500 recurring and one-time compliance tasks per quarter, spread across spreadsheets and static lists. About 1 in 5 tasks missed their deadline each cycle because project managers were spending too much time on manual follow-ups and entering the same data into 3 different systems.
What We Built
We set up AI agents that recognize the difference between recurring compliance tasks and one-time jobs and create them on schedule, removing the manual entry step entirely. Automated workflows notify task owners before deadlines, track multi-owner assignments through completion, and push every update into a live analytics dashboard so leadership can check status in real time. What used to take 2 to 3 days of manual setup now takes under 5 minutes.
Results
Missed deadlines went from roughly 1 in 5 to fewer than 1 in 30 in the first quarter. The team got back 20+ hours a week that previously went to manual task entry, status updates, and copying data between systems. Every compliance task now lives in one place instead of three. The project covered its own cost within 4 months through avoided penalties and recovered PM time worth about $120K a year.
Story gallery
Technical proof
Implementation details and the stack behind the delivery.
Implementation highlights
Key engineering decisions from this project.
Stack snapshot
Tools and platforms used in the delivery.
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