Agentic AI Without the Hype: A Readiness Check

Last summer I wrote that AI agents were coming for your org chart. They've arrived, at least in the sales decks. Nearly every enterprise software vendor now offers some kind of agent.

The question I get most from executives isn't "should we use agents?" It's "are we ready to?"

What does agentic AI readiness mean?

Agentic AI readiness is an organization's ability to let AI systems take actions, not just make suggestions, without creating unacceptable risk. It depends less on the technology and more on how well defined your processes are, how clean your data and permissions are, and whether someone is clearly accountable for what the agent does.

The agentic AI readiness scorecard

Score each item for one specific process, not for the company as a whole. Readiness is always local. You might be ready for an agent in invoice matching and nowhere near ready in customer refunds.

An agent is only as safe as the process you hand it.

What if you score low?

That's useful information, not a failure. A low score usually points to work worth doing anyway: documenting a process, tightening system permissions, or naming an owner. Do that work first and the agent becomes far less risky, and often more valuable.

The takeaway

Before any agent purchase, pick the process and run the scorecard with the people who own it. If you can't get to at least four out of six, start with augmentation instead (see Automate or Augment?). Readiness assessments like this are a regular part of our AI strategy work.

Frequently asked questions

What is agentic AI?

AI systems that can plan and take actions toward a goal, such as updating records or sending communications, rather than only generating content or recommendations for a person to act on.

How do I know if my company is ready for AI agents?

Assess a specific process: is it well documented, are permissions limited, is data reliable, are human checkpoints defined, can actions be logged and reversed, and is there a clear owner?

What are the risks of AI agents?

Agents can take incorrect actions at scale, access data they shouldn't, or make changes that are hard to trace or reverse if permissions and oversight aren't designed carefully.

Being pitched AI agents and not sure you're ready? Let's run the check.