AI Agent Orchestration: How to Close the Action Gap and Impro

Enterprises struggle to prove AI’s ROI, particularly for standalone LLMs and retrieval-augmented generation agents with limited integration in business workflows. An enterprise’s agentic position comes from two dimensions: its ambition (number of proofs of concept [POCs] and pilots) and level of action and orchestration. We found that enterprises can be in one of four states, with only 15% achieving agentish territory from AI agent deployments (see Figure 1). Enterprises can be in a state of.

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AI Agent Orchestration: How to Close the Action Gap and Impro

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