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This month the agents stopped waiting for instructions and started showing up to work — in sales, in marketing, inside Teams, with real access to your systems. The question flips from "what can an agent do?" to "who's managing it?"

The model is becoming a commodity you rent. The durable advantage is everything you build around it — context, coordination, and the discipline to move an agent from demo to production.

The most dangerous AI failure isn't being wrong. It's being wrong so fluently that everyone stops checking.

MIT studied three hundred AI deployments and found that 95 percent returned nothing. The gap was never the model.

A new product. A new name. The bigger bet underneath both, and the architecture for what scheduling looks like when the agents do the booking.