Case studies · New England

One utility.
Three chapters of change.

Our founding team worked with a Fortune 500 utility in New England. From the first customer call to the work behind the grid, this is the story of that engagement.

Real work. Real outcomes. Customer identity withheld.

Inside the workCalls. Crews. Critical assets.

Utility footage shows the operating environment. It does not depict the customer or its employees.

The challenge

The work never stopped.

Customers needed answers. Planners needed complete work packages. Engineers needed to see what their assets were telling them. Across all three workflows, time spent on routine work left less room for the decisions that needed experience.

The shift

Give people room to act.

Our founding team put AI to work on defined tasks: answering routine calls, assembling and checking workplans, and surfacing early signs of asset trouble. Customer-care teams, planners, and engineers kept authority over what happened next.

The change, in numbers

More time. Earlier action.

~34%

of in-scope calls resolved by voice AI

Customer operations
12 → 5

days from work request to released package

Work management
3

developing faults flagged early enough to plan a response

Asset management

Outcomes from the founding team’s engagement. Figures are rounded; customer identity is withheld.

Follow the work

Three chapters. One story.

From the customer call, to the crew’s workplan, to the health of the grid.

01 Customer operations

Voice AI answered the routine calls. People kept the hard ones.

A governed voice agent on the highest-volume call types, with a human one utterance away.

~34% of in-scope calls resolved~$3M / yr savings
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02 Work management

Sub-agents took the operational work out of workplan development.

Small agents drafting, checking, and reconciling work packages — planners approve every one.

~9 hrs saved / planner / wk12 → 5 days per workplan
Read case study

03 Asset management

The substation said something was wrong. The model heard it weeks early.

Asset-health models over the signals the fleet already produces — engineers decide every action.

3 faults flagged early~$2.4M avoided
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Your next chapter starts with one workflow.

Start with the work your team knows best. In a fixed-fee, six-week Proof of Value, we replay completed work against your baseline and show where AI can make a measurable difference.

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Corvana

Voice AI

Customer operations

Read the walkthrough
  1. Scope routine outage, billing, and payment calls.
  2. Connect the agent to approved utility systems.
  3. Read the account, policy, and call context.
  4. Answer from the record and bring in a person when requested.
  5. Transfer the account context and full conversation.
  6. Keep sources, decisions, and actions together.
  7. Let the operations team review exceptions.
  8. Replay the workflow against source and escalation checks.
  9. Compare with a baseline. Engagement results: roughly 34% of in-scope calls resolved by voice AI.