AI creates value inside specific processes, through specific decisions. The Agent-Ready Enterprise Model places AI agents on the process architecture, sets the controls each one runs within, names the executive accountable for it, and shows the return it is expected to make.
Spend on AI is straightforward to count. The return is harder to locate, because it sits inside processes, decision rights and accountabilities that a technology business case seldom describes.
AI-Powered Profitability starts from the process architecture. Each agent is placed on a process, given a control tier and a decision boundary, and assigned to an accountable executive. The financial return is modelled against that placement, so leaders can see where value is expected to come from and who answers for it.
The model follows the business from its value chains down to the workstreams where the work is done. Each workstream is designed across five integrated layers: process, data, people, risk and technology. An agent is placed on that design with a control tier, a decision boundary and an accountable executive, and the return is traced to the process where it is made.
How work moves from a trigger to an outcome, including decisions, exceptions and interactions.
The information needed, its meaning, its connections and how it is managed.
The human contribution, authority and conditions for effective execution.
Potential failure, applicable requirements and how performance is controlled.
The technical means of delivering and sustaining each workstream.
Agent placements and figures in the model are working hypotheses. An organisation's own baseline of processes, volumes and costs replaces them at the start of an engagement.
The briefing, the model and its supporting tools are available to organisations we are working with. Access is by invitation.
Open client materialsYou'll be asked for your email address and sent a one-time code. If your address isn't on the invitation list, contact us below.
We'd welcome the conversation.