Agentic Workflow Automation for Energy & Utilities

Rules engines break when reality changes. Agentic workflows read intent, handle variation, and route the genuinely ambiguous cases to a human, which is why they survive contact with real operations.

In energy & utilities, assets are remote, connectivity is poor, and failure has safety consequences. That single fact reshapes how agentic workflow automation 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 predictive maintenance on assets, usually integrated against billing systems. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.