White paper

AI in the control room

Utilities aren’t afraid of AI. Just bad AI.

OATI AI Genie™ is AI-native energy intelligence, built for grid operations and grounded in operational data. This white paper covers what AI Genie™ does in the control room, the data behind it and how utilities evaluate it.

Operators at their consoles in a grid control room

Built for grid operations

AI grounded in operational data, not a general-purpose chatbot.

In production today

AI Genie™ is live in California ISO’s production outage management system (OMS).

Operators keep authority

California ISO personnel retain final authority over outage approvals and every consequential grid decision.

On the systems you run

OATI AI Genie™ is available today for trading, transmission and distribution, on top of the OATI systems customers already run.

The white paper answers

  • What separates AI built for grid operations from a general-purpose model?
  • What does an operator approve, and what does AI Genie™ take off the desk?
  • What should a utility ask before AI touches the control room?

For control room leaders, operations engineers and the executives who sign for AI.

Request the white paper

The AI in the control room white paper arrives by email.

Utilities aren’t slow. They’re selective.

Caution about AI is to be expected in an industry built on reliability. OATI AI Genie™ was built from the ground up around the physics, the regulations and the operating history of the grid.

OATI deployed the first AI into real-time power grid operations. The grid is complex, and the AI that works on it has to understand that.

Quick answers

What is AI-native energy intelligence?

AI designed for grid operations and grounded in operational data, rather than a general-purpose chatbot.

Is AI Genie™ in production?

Yes. AI Genie™ is live in California ISO’s production outage management system (OMS); it moved from a pilot environment into production on June 24, 2026.

Does OATI train AI Genie™ on customer data?

OATI does not train AI Genie™ on customer data. The single exception: a commissioned use case.