AI Agent Development for Energy & Utilities

Give an agent the wrong permissions and it becomes a liability; give it the right ones and it absorbs an entire workflow. We spend the first week on that boundary, then build fast against it.

In energy & utilities, assets are remote, connectivity is poor, and failure has safety consequences. That single fact reshapes how ai agent development has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is meter data validation, usually integrated against asset management. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Built by engineers who ship production systems, not by a practice that subcontracts the build. Six weeks to something running in production, not six quarters to a strategy document.