Enterprise AI roadmap: from use case to an evaluated pilot
G-ATAI · 2026-10-20

Business problem
The task, affected users, current friction and the business outcome that would justify investment.

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Baseline
Current handling time, exception rate and cost per task; sample period, sample size and measurement owner.

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Data
Sources, access permission, quality gaps, retention and a representative evaluation set kept separate from development.

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Systems
Source and destination systems, API contracts, authentication, rate limits, environments and dependency owners.

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Owner
Business sponsor, process owner, technical lead, evaluator and person authorised to approve the release.

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Risk
Consequences of incorrect or missing outputs; review, escalation, access controls and fallback requirements.

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Evaluation
Task-level quality, latency, cost and reviewer workload; thresholds agreed before testing.

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Go / no-go
Evidence required to proceed, conditions that stop the pilot and who signs the decision.

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Rollout
Limited user group, monitoring, rollback, support owner, review date and operating budget.

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Evidence log: source / date / owner / unresolved question

Decision: proceed / revise / stop

Approved by:

Decision date:

Next review: