Home / Cases / Utilities · water cycle

Energy & utilities · water cycle

The water cycle, without dead time.

How a national utility cut the average resolution time of its commercial cycle by 27% — by first seeing the real process and automating only where it delivered a return.

−27%average resolution time
12 weeksfrom diagnosis to production
0system migrations

The context

A utility with a national footprint managed the commercial water cycle — sign-ups, terminations, incidents, billing — on an established ERP and CRM, with capable teams and documented procedures.

The problem was not a lack of systems: it was that no one saw the process end to end. Incidents bounced between departments, rework was taken as inevitable, and the average resolution time grew year after year.

The challenge

Reduce resolution time without changing the systems, without migrating data, and without halting operations. And one condition from leadership: every euro invested, justified by a number.

“The real process is never the one in the manual. Until we measured it, we were debating opinions.”

The approach

We applied our usual method, with our own platform as the accelerator:

From diagnosis to production · 12 weeks

Weeks 1–3Diagnosis
Process Mining over the ERP and CRM event logs. Reconstruction of the real process, quantification of variants and rework in euros.
Weeks 4–8Proof of value
Pilot on the highest-impact incident type: a first-response agent with human escalation, measured against the agreed KPI.
Weeks 9–12Industrialization
Rollout with role-based permissions, full traceability, and a KPI-and-cost dashboard. Training for the support teams.
Since thenContinuous operation
Quarterly impact reviews and extension to new incident types.

Results

MetricChange
Average incident resolution time−27%
Rework on the critical variants−40%
Incidents resolved on first response+31%
End-to-end process visibility100%

The dashboard remains in operation: leadership sees the KPI and the system cost on the same screen, every week.

“For the first time we were debating the same data. Everything else — automating, prioritizing, investing — followed on its own.”

Head of Operations · national utility (reference available under NDA)