Current-process baseline
How work is done today: volume, cycle time, quality, handoffs, tools, and known failure modes.
Core diagnostic
AI Opportunity Assessment
A paid diagnostic that turns a messy AI conversation into a baseline, a scored register, and one recommended first pilot. ROI language stays directional until measured. No guaranteed returns.
What you receive
A decision package, not a slide deck of tools.
Opportunity register
A structured list of candidate AI uses, including where time, service quality, or revenue might move.
Rejected-use-case list
Ideas that should not proceed, with a plain-language reason. Rejection is a deliverable, not an afterthought.
Top 3 candidates
The three opportunities worth leadership attention, scored for value, feasibility, risk, and adoption.
Directional ROI hypothesis
An evidence-based hypothesis for the first pilot — directional, not guaranteed, and explicit about what still needs measurement.
Recommended first pilot
One bounded pilot with owner, scope, integration boundary, and stop/adjust/scale criteria.
Measurement plan
The metrics, sampling window, and comparison method used to judge the pilot against the baseline.
30 / 60 / 90-day transition roadmap
A practical sequence from assessment into governed execution, including adoption and operating conditions.
Scoring
Value, feasibility, risk, and adoption — in that conversation together.
Top 3 candidates are ranked on all four dimensions. A high-value idea with no adoption path does not become the first pilot.
Value
Time saved, service improved, revenue enabled, or risk reduced — stated in business terms.
Feasibility
Data availability, process stability, integration effort, and delivery capacity.
Risk
Confidentiality, operational blast radius, vendor lock-in, and quality failure modes.
Adoption
Who must change how they work, who owns the outcome, and whether the operating model can absorb it.
Roadmap
30 / 60 / 90 days after the assessment.
30 days
Confirm baseline measures, lock the first-pilot boundary, name the owner, and set stop criteria.
60 days
Run the bounded pilot against the measurement plan. Capture adoption friction as first-class evidence, not as a footnote.
90 days
Compare outcomes to baseline and make the scale / adjust / stop decision. If the evidence is weak, stopping is the professional result.
Start with the current process, not a vendor list.
Bring a messy initiative, a stalled experiment, or a leadership debate. The assessment will produce a rejected-use-case list as deliberately as it produces a recommended pilot.