Industry Solutions

Utilities customer experience

Storm-day performance is the KPI.

Electric, water, and gas utilities must serve customers on the worst day of the year, not the average. We design AI programs that hold up through outages, meet NERC CIP boundaries, and answer PUC reliability metrics.

Typical outcomes
Utilities engagements
50x
Storm-day scale
<15 s
Life-safety routing
60%
Outage call deflection
94%
ETA accuracy
Where it hurts

Utilities-specific challenges

The pain points we hear most from utilities leaders — and the regulatory context that shapes every decision.

Storm-event surge

Call volume can spike 50x during major outages — legacy IVRs and staffed queues collapse.

Outage status accuracy

Customers demand real-time restoration ETAs; wrong answers erode trust and drive PUC complaints.

Critical-infrastructure boundaries

AI touching OT systems, SCADA data, or grid telemetry falls under NERC CIP scope.

Life-safety escalations

Gas leaks and downed lines must reach dispatch in seconds, not minutes.

Regulated billing complexity

Rate cases, disconnect protections, and assistance programs require nuanced handling.

Aging workforce

Institutional knowledge is retiring — agent-assist and knowledge automation are workforce continuity, not just efficiency.

Compliance & regulatory context
NERC CIPTSA Security Directives (pipeline)PUC reliability standardsPCI-DSS (billing)State disconnect protectionsSOC 2 Type II
Our approach

Solutions tailored to utilities

KPI-first, vendor-neutral, and built to survive audit — not just the pilot.

01

Storm-day KPI baseline

Peak concurrent calls, ETA accuracy, life-safety time-to-dispatch — measured before tooling.

02

OMS-integrated virtual agent

Real-time outage status, restoration ETA, and callback registration with fallback to human dispatch.

03

CIP-aligned architecture

Clear separation between customer-facing AI and OT/grid systems, with documented boundaries.

04

Elastic surge capacity

Voice + digital channels that scale to storm-day load without pre-provisioning peak headcount.

Case in point

Investor-owned electric utility — 2.1M meters

An IOU faced a PUC investigation after a major storm overwhelmed its contact center with 4-hour wait times and inconsistent restoration ETAs. We designed an OMS-integrated voice AI, stress-tested for 50x surge, and hardened the escalation path for downed-line reports.

60%
Outage call deflection
4 hr → 6 min
Peak wait time
94%
ETA accuracy

The PUC hearing became a non-event. More importantly, our line workers stopped getting yelled at because customers finally had accurate ETAs.

Director Customer Operations, IOU Electric Utility

Composite example based on typical engagements. Details anonymized.

Every engagement begins with a KPI baseline, not a product demo.

Ready to design for utilities KPIs?

A 45-minute session with a senior advisor. No sales pitch — just your metrics, your constraints, and where AI actually fits.