Enterprise AI, Past the Pilot Stage

Put a gateway in front of every model call so each token is tagged to a team and a use case, routed to the cheapest adequate model, capped by budget, and alerted on before the vendor cuts you off.

Work the arithmetic on one agent, then multiply. Assume a support agent…

Treat every change to where money goes as untrusted until an out-of-band callback to the number already on file confirms it, with a second approver above a threshold and the evidence logged.

This is a control, so model it as expected loss avoided against the cost of…

Write the disclosure script, the consent record, and the opt-out routing once, then apply them to every voice agent, chat widget, and SMS bot you run.

This is loss avoidance, so model exposure rather than return. Assume a practice…

Generate the candidate and employee notices each jurisdiction requires from your hiring-tool inventory, schedule the bias audit, and keep the records the new laws expect — before the dates land.

Model the cost of doing it against the cost of not. Doing it: inventorying ten…

A test suite for non-deterministic systems — so you can change a prompt, a model, or a tool and know what broke before your customers do.

The return is measured in avoided incidents and shipping velocity rather than…

Find every agent your business units already shipped, right-size its permissions, and put a control plane around the ones that stay.

This is a loss-avoidance and enablement program, not a productivity one, so…