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WHITEPAPER

How an Energy Retailer Used Agents to Automate 40% of Customer Ops

An ops automation playbook for VPs of Customer Operations rebuilding the cost-to-serve curve.

Agents Run 40% of Customer Ops

Customer ops costs are climbing while satisfaction is flat.

And headcount is no longer the answer.

  • Energy customer operations is a high-volume, regulated, low-margin function.

  • The opportunity with agentic AI is not to remove humans from customer operations.

  • Done well, agentic ops is not a layoff strategy.

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The numbers that make this a board-level conversation

40 ppt
Customer ops volume handled by agents — +
33%
Cost-to-serve
14%
Average handle time (routed calls)

The 10-week program that gets you there

Weeks 1–3 — Inbound triage

The triage agent classifies every inbound interaction (chat, email, voice transcript) into intent, urgency, and required skill. It routes to the right queue and pre-populates context for the human agent who picks up.

Weeks 4–7 — Billing inquiries

Billing inquiries are the highest volume single category in most retailers. About 60 percent of billing inquiries have one right answer that does not require judgment.

Weeks 8–10 — Outage and service status

Outage events drive massive call volumes that cannot be staffed for. The outage agent answers status queries, sets expectations, and pushes proactive updates.

The Energy Agentic AI checklist every VP Customer Ops needs

Inbound triage

The triage agent classifies every inbound interaction (chat, email, voice transcript) into intent, urgency, and required skill.

Billing inquiries

Billing inquiries are the highest volume single category in most retailers.

Outage and service status

Outage events drive massive call volumes that cannot be staffed for.

Cost-to-serve drops by a third inside one budget cycle.

If you are a VP of Customer Ops looking at a flat cost curve and a flat NPS line, the answer is not more headcount or another script revision.

Frequently Asked Questions

Yes. We disclose AI involvement on every channel and at every interaction. Disclosure does not hurt satisfaction — opacity does.

Every agent action is logged and exportable. We have produced regulator-facing audit packs from this platform on three occasions in 2025-26 with zero findings.

Medical-need accounts route directly to a trained human. The agent recognizes the account flag at intent classification and never attempts to handle the case.