Crawl, walk, and run with AI transformation
AI transformation is always a mix of tooling and process. In this guide, we’ll explore the AI transformation journey from single-player agents to the AI center of excellence to illustrate how businesses actually evolve with autonomous workflows, and what your organization needs to be successful at each level.
How’s your transformation coming along?
Don’t know what agents are running? Wrestling with a leaky compliance practice? Need a way for domain teams to know what works? These aren’t three separate problems. They’re three stages of the same AI journey. And the answer doesn’t rest in technology alone; it takes a reimagining of both tooling and process.
In this practical guide, we’ll walk through each level of the AI transformation maturity curve, what it looks like when you reach a ceiling, and what to do before you take the next step.
What’s inside
Define AI transformation: explore what it means to “transform with AI” and why it’s different from AI adoption.
Explore the curve: understand what it means to crawl, walk, and run with AI agents.
Diagnose your AI maturity: find out where your business sits on the curve with organizational profiles and common challenges at each level.
Uncover practical next steps: find out what you need to implement, step by step, at each stage of the AI transformation curve.
Almost everyone is using AI.
Most still don’t know what their agents are doing.
of organizations with 100+ employees run AI agents in production today.
of organizations log what their agents do while they run.
Source: The AI Agent Management Gap Report 2026, 362 US IT decision-makers.