Everest GroupAugust 24, 2026
How to Build the Agentic Enterprise
The Journey to an Agentic Enterprise
Most companies want to succeed with agentic AI, but few are actually achieving real transformation. Everest Group's research finds that organizations usually pilot successfully—but fail to go from task-level automation to end-to-end workflow transformation that drives tangible business outcomes. The answer lies in getting the foundations right—from technology and architecture through data, process, and talent to governance, risk, and compliance. Enterprises that get the basics right can then scale with consistency and control. But those that don't risk repeated rework, fragmented adoption, and workflow-level gains that never compound into enterprise impact.
0–30%
of enterprises are in Explore phase, focussing on experimentation and confidence-building
0–50%
are in Execute phase, scaling agentic capabilities within structured workflows with real operational impact
0–20%
have reached the Embed phase, orchestrating a limited number of end-to-end processes across systems, within a function
0–7%
are progressing toward the Extend phase, with function-wide agentic autonomy
Only 15-20% of enterprises have progressed into the Embed phase, as it requires structural changes that extend beyond workflow automation.
Everest Group
The Agentic Enterprise, 2026
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What you will learn
- Everest Group's 5-phase agentic maturity model for enterprises, and how to go from early experimentation to enterprise-wide autonomous execution
- The structural foundations to get agentic AI right: technology and architecture, data and context, process, talent, and governance
- What CXOs need to address at every stage of building the agentic enterprise
