Recurring regulatory reports, outage and regulated-customer handling, a grid-and-asset operations copilot. This is what an AI agent can do inside a utility, over your operational data, air-gap capable, built around the reports your regulator requires.
Start with one workflow that pays for itself, then expand on the same private, governed platform. No new vendor cycle each time.
Gather the data, assemble the report to the regulator in its required format, and flag what is missing before the deadline.
Over interruption history and the service-quality norm, classify complaints, prepare responses and compute the compensation the norm requires, escalating the complex cases.
Over the historian / SCADA, GIS and maintenance systems, report grid state in natural language, prepare maintenance plans and compliance reports, and raise risks. Air-gapped.
These are workflows a Fogoarai AI agent can run inside a utility. They are illustrative of the capability. The exact workflow, systems and success metric are defined with your team. Fogoarai already has use cases running in production today.
In utilities, the data lives in historians and operational systems. Asking it in plain language (and reporting on it) is the first win.
Ask your databases in plain language. A fine-tuned local model turns the question into validated SQL. No BI ticket, and no data leaves the network.
Agents read your internal archive (documents, manuals, regulations, prior cases) and answer with citations to the source. Private embeddings, served locally inside your network.
Small specialized models handle the repetitive work (classify, extract, validate, summarize) at a fraction of frontier cost, escalating to frontier models only when the task needs it.
Every action is tied to a real user, gated by policy, approved where it matters, and recorded in an immutable audit trail your security and compliance teams can review.
Built for critical infrastructure. Full traceability for the SEC, the Coordinador Eléctrico Nacional and the CNE.
Start with recurring regulatory reports (clear deadline, measurable time saved), then expand into customer handling and a grid-operations copilot.