90 days to move from an AI idea to measurable evidence
Days 1–15 — UNDERSTAND
Teams, processes, data, tools and friction.
Days 16–30 — PRIORITIZE
Use cases, metrics and pilot selection.
Days 31–45 — BUILD
Knowledge base, assistants or first automations.
Days 46–60 — TEST
Real users, errors, feedback and corrections.
Days 61–75 — MEASURE
Time, cost, quality, volume, adoption, conversion and satisfaction.
Days 76–90 — DECIDE
Stop • Redesign • Extend • Scale • Industrialize.
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How to measure the ROI of a first AI pilot
Reference: BXT-BIZ-90D-001-EN
Days 1–15 — UNDERSTAND
Objective: understand teams, processes, data, systems and friction.
Deliverables:
- baseline;
- process map;
- priority problems.
Days 16–30 — PRIORITIZE
Objective: compare use cases and select the first pilots.
Deliverables:
- prioritization framework;
- selected use cases;
- metrics.
Days 31–45 — BUILD
Objective: create the knowledge base, assistants or first automations.
Deliverables:
- prototype;
- configuration;
- corpus;
- usage rules.
Days 46–60 — TEST
Objective: put the solutions in the hands of real users.
Deliverables:
- test results;
- errors;
- user feedback;
- corrections.
Days 61–75 — MEASURE
Objective: compare outcomes with the starting baseline.
Possible indicators:
- time;
- cost;
- quality;
- errors;
- volume;
- adoption;
- conversion;
- satisfaction.
Days 76–90 — DECIDE
Possible decisions:
STOP • REDESIGN • EXTEND • SCALE • INDUSTRIALIZE
Day-90 outcome
The business should be able to answer:
- which use cases create value;
- which data are required;
- which systems need improvement;
- which uses should expand;
- which projects should stop;
- how to continue over the next 12 months.