As AI Agents expand to the enterprise it is clear that the current operating models that were suitable more for a deterministic world of enterprise are no longer applicable to an agentic enterprise. The solution is to think about an operating model that focuses on a layered architecture 1. A cognitive / intelligence layer - Dealing with what models to deploy for various purposes given there could be multiple models in consideration 2. A coordination layer - Dealing with how agents interact with each other to achieve goals 3. The control layer or supervisor layer - Which manages guardrails and boundaries for agents 4. The governance layer - Interestingly, governance is often unified with control layer but separating this layer assigns specific responsibilities like accountability (who is responsible for the success/failure/operations of an agent or set of agents).
Enterprise AI Operating Models Evolve for Agentic Systems
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