Oct 28 • Automation
Before buying more “AI”, what’s the one bottleneck you’d fix first?
Hello everyone,
I'm digging into the friction of signal to action and learning how to turn alerts into real fixes on time for the solar energy operations.
If you could fix one thing that would boost throughput for most operators, what would it be?
Pick one (or add your own):
A. Interoperability: alerts flow into work orders fast and clean.
- Alert → Work Order sync ≤ 5 min
- Device → asset mapping ≥ 98%
- Fields don’t get lost (≤ 1% loss)
- Status sync both ways
Note: For mixed-vendor fleets, mapping is often <98% and alert→WO >15 min, which makes tickets explode from noise. What cutoffs do you use instead?
B. Automate low-level office work
- Auto-triage
- Work orders pre-filled with context
- Status + reports auto-updated
- Admin time ≤ 12 min/WO
C. Parts & first-time fix
- Right parts picked ≥ 85%
- First-time-fix ≥ 75%
- Better routing + diagnostics
D. Closeout & reporting
- Proof on tickets ≥ 95% (photo/measure)
- Report time: ops ≤ 24h, client ≤ 72h
- Views matched to audience
E. Something else: name it + one example
I'll compile your feedback into a 1-page Readiness Checklist (with pass/fail cutoffs + “no-go” rules) and share it here.
Many thanks in advance!
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Before buying more “AI”, what’s the one bottleneck you’d fix first?
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