How to Find Your First AI Opportunity: A Simple Rule of Thumb

Start With a Question

When leaders ask where to begin with AI, the temptation is to start with the technology. The better starting point is the work itself, and a deceptively simple test:

If you can teach a person to do it, you can teach an AI agent to do it.

That single rule filters most of the noise out of the conversation.

Look for Repetition and Consistency

The strongest early candidates share a profile. They are roles where multiple people perform similar tasks, where the work is repetitive, and where consistency matters. If a portion of a job, or all of it, can be captured in a standard operating procedure, it is a strong candidate for an AI agent.

This is where agents excel. They bring perfect consistency to high-volume, rules-based work, and they don't tire, drift, or vary from one execution to the next.

Two Lenses That Reveal Opportunity

Two questions tend to surface the best opportunities quickly.

First: where in the organization are several people doing the same thing? Clusters of similar work almost always represent both a cost opportunity and a capacity ceiling.

Second: where would doing the work dramatically faster have an outsized impact on the business? Some processes are gating functions. When a company has to turn away opportunities because a process can't keep pace, accelerating that process doesn't just save cost, it unlocks revenue that was previously out of reach. Look for the bottleneck.

From Candidate to Blueprint

Once you've identified a workflow that might benefit from AI, the path forward is structured. Define the inputs, the process, and the outputs. That definition becomes the blueprint for an agent that can run the workflow at or above human performance.

The first opportunity doesn't have to be the most sophisticated one. It has to be the one where repetition is high and the impact is clear. Start there, prove it, and the next opportunities become far easier to see.