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A practical AI opportunity assessment

Choose the AI work worth testing first.

Before you buy a platform or announce an initiative, score one real workflow. This five-part assessment turns a broad AI question into a clear next move: hold, test, pilot, or prioritize.

Score a workflow ↓

Free to use. One workflow. About 10 minutes. No email required for the on-page assessment.

The better question

Not “where can we use AI?”
What work deserves a test?

Good pilots are not chosen because the technology is impressive. They are chosen because a real workflow has a visible payoff, a bounded way to check the result, and an owner who can change what happens next.

The assessment

Score one workflow.
Get a next move.

Give every prompt a 0, 1, or 2. Do not score an AI idea—score the actual work it would change.

01Value

If this workflow improved, would the benefit be visible?

Think time saved, errors avoided, capacity created, or a decision made better.
02Repeatability

Does this work happen often enough to learn from and improve?

A one-off task rarely earns a system; a repeated workflow often does.
03Information readiness

Can the work be grounded in usable, approved information?

The relevant examples, source material, and context need to be available without exposing information that should stay protected.
04Risk containment

Can a person review or reverse the result before harm is done?

Start where mistakes can be caught before they reach a customer, a regulated decision, or a permanent record.
05Ownership

Is someone accountable for running the test and acting on what it reveals?

A pilot without an owner usually produces a demo, not a useful change.

Your score

0/10

Complete all five signals

The recommendation appears after every signal has a score.

A worked example

Turn scattered customer feedback into a weekly signal.

Imagine a team that collects customer comments across calls, tickets, and sales notes. An AI-assisted weekly summary could save time and reveal patterns—but only if the source material is available, someone checks the summary, and a leader can use it to decide what changes.

The point is not that this is everyone's first use case. It is that the assessment makes the conditions visible before the work becomes a costly “AI initiative.”

When the decision has stakes

Need help choosing the work, shaping the test, or making sense of what it found?

Staticbreaker consulting brings an outside point of view to practical AI decisions—without turning a simple workflow question into a transformation program.

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AI opportunity assessment, answered

Questions worth settling before the pilot.

What is an AI opportunity assessment?

An AI opportunity assessment is a structured way to judge whether one specific workflow is a good candidate for AI. It compares potential value with the information, risk controls, and human ownership needed to make a test worthwhile.

How do you evaluate AI opportunities?

Start with one workflow, not a department-wide ambition. Define the outcome, then score whether the work repeats often enough, has usable context, can be reviewed safely, and has someone accountable for using the result.

What makes a good first AI pilot?

A good first pilot is narrow, measurable, and reversible. Choose work where a person can inspect the output before it affects a customer, a decision, or a permanent record.

How is an AI readiness assessment different from an AI opportunity assessment?

Readiness asks whether an organization has broad capabilities in place. Opportunity assessment starts closer to the work: it helps decide whether a particular workflow is a useful next test, even while broader readiness is still developing.