Predictive maintenance is defensible by asset and by hour.

Tokto attributes every prompt, completion, and model dollar to an asset, a facility, an operator, a use case, and a model, so the CFO can defend AI spend against operations, engineering, and the board.

What you get with Tokto

• Every prompt and model dollar attributed to an asset, a facility, an operator, a use case, and a model.
• Smart routing to the cheapest capable model for forecasting versus inspection versus copy. Teams report 30 to 50 percent cost reduction.
• Budgets by facility, by use case, by program, with real-time alerts and auto-disable on overrun.
• Defensible AI cost reporting for the audit committee, the rate case, the regulator, and the insurer.

How it works

Tokto sits at the financial control plane of AI in the utility and the port. Every co-pilot prompt, every inspection model, every scheduling assistant carries a facility, an asset, an operator, a use case, and a model. The CFO knows what AI cost the grid program last quarter, what it cost the port, and what it cost the vendor who passes it through at markup.

When the audit committee asks for AI ROI by facility, when the PUC asks about AI cost recovery in a rate case, when the insurer asks how AI is governed at renewal, the answer is one report against the system of record. The CFO defends AI spend at rate-case quality.

What goes wrong without it

• Smart-grid pilots run for two years with no attribution. The PUC denies cost recovery in a rate case.
• AI spend came in 15x over forecast. The board freezes the AI line item across the company.
• A vendor partner passes through AI cost at markup with no detail. The audit committee asks why.
• The insurer asks for AI cost by use case at renewal. The CFO produces a spreadsheet, not a record. The premium adjustment is punitive.