AI Opportunity Assessment · Find and Focus
Find the AI opportunities worth backing.
An AI Opportunity Assessment connects the commercial outcome, the work, the economics and delivery reality before you commit to a pilot or programme.
Readiness is only part of the decision
An AI readiness or maturity assessment asks whether the organisation has the foundations to act. That can be useful, but it does not answer the more important investment question:
Where can AI create enough value to justify changing the business—and why this opportunity now?
- Become starts with the opportunity and its value logic. Readiness is assessed in context, against what that specific opportunity actually requires.
The five tests
Strategic fit
Does the opportunity move an outcome leadership already cares about, or create a defensible new capability?
Value potential
Can the path to revenue, cost, capacity, working capital, service, quality or risk be expressed and measured?
Time to value
Can the decisive assumptions be tested soon enough to support a real investment decision?
Workflow leverage
Does the opportunity change a repeated or high-consequence workflow, decision or constraint—not simply add another tool around existing work?
Delivery feasibility
Can the business access enough data, people, technology and real operating conditions to test it safely and credibly?
A typical two-to-three-week review
01 — Frame the outcome
Agree the material business outcome, establish the baseline and identify how performance is currently created or lost.
02 — Inspect the work
Map the workflow, decisions, handoffs, data and constraints that shape the outcome. Separate observed reality from assumptions.
03 — Define and test the opportunity
Describe the required capability, value mechanism, human judgement and operating change. Score the opportunity against the five tests.
04 — Recommend the next decision
Identify the strongest opportunity, the assumptions that matter and the smallest credible Build and Prove test.
What you receive
- A clear outcome and economic baseline
- A concise view of the relevant workflow and constraints
- A ranked opportunity set, where more than one option is assessed
- A value hypothesis and measurement approach
- A view of data, technology, people, control and adoption requirements
- One recommended priority
- A Build and Prove brief with decision criteria
- A clear recommendation to back, sharpen, defer or stop
What this is not
- A generic AI maturity score
- A catalogue of use cases copied from the market
- A technology architecture exercise before the value is clear
- A workshop that ends with more ideas than it started with
- A disguised route into a large transformation programme
The decision at the end
Back this opportunity, test this assumption, defer it until a named condition changes—or stop.