Every leadership team has a list of places AI could help. The hard part is not generating ideas — it is choosing the first workflow that deserves budget, attention, and political capital.
This framework ranks candidates on four axes: impact, frequency, readiness, and risk. It is the same logic BYBO uses inside the AI Opportunity Blueprint — simplified so you can run a first pass internally.
Build first
High impact · Ready
Blueprint next
High impact · Gaps
Defer
Low frequency
Do not automate
High risk
The four scoring axes
Impact: how much time, revenue, quality, or visibility is lost when this workflow fails or slows down? Frequency: how often does it run — daily fire-fighting beats monthly edge cases. Readiness: do you have process knowledge, data access, and a willing owner? Risk: what happens if the system is wrong — customer harm, compliance exposure, or irreversible decisions?
Order exception recovery
Policy Q&A for staff
Full autonomous pricing
How to use the scores
Decision rules
- Impact ≥ 7 and Readiness ≥ 6 → strong build candidate
- Impact ≥ 7 and Readiness < 6 → Blueprint or process fix first
- Risk ≥ 8 → human approval on every external action
- Frequency < 4 → usually not worth automating yet
- No owner → stop. Assign one before any vendor call.
“The best first project is boring on a slide and expensive in real life — because that is where margin actually leaks.”
Rank your top five workflows. Pick one. Run a two-week baseline: measure time, touches, and failure modes. Only then decide whether AI is the right tool — or whether a simpler integration would solve eighty percent of the problem.