The use case starts with a model or vendor
Address the cause before treating the recommendation as approval-ready.
Decision Guide
AI Opportunity Readiness Decision Guide
Prioritize AI initiatives according to business value, data readiness, governance, feasibility and adoption—not model popularity.
Questions · Evidence · Red flags · Executive output
Questions to ask
Do not approve until the answers are traceable.
Each answer should identify its source, owner, confidence level and impact on the decision.
01. Which business decisions or workflows should improve?
Document the answer, assumptions and validation action.
02. What measurable value is expected?
Document the answer, assumptions and validation action.
03. Is the required data available, lawful and trustworthy?
Document the answer, assumptions and validation action.
04. What human oversight and accountability are required?
Document the answer, assumptions and validation action.
05. Can the workflow be redesigned before automation?
Document the answer, assumptions and validation action.
06. Which architecture and sovereignty constraints apply?
Document the answer, assumptions and validation action.
07. What capability and adoption changes are necessary?
Document the answer, assumptions and validation action.
Evidence pack
Minimum evidence to collect.
EvidenceBusiness process and pain point
Check recency, completeness and ownership.
EvidenceValue baseline and target outcome
Check recency, completeness and ownership.
EvidenceData, access and quality assessment
Check recency, completeness and ownership.
EvidenceRisk, governance and human-control requirements
Check recency, completeness and ownership.
EvidenceTechnical feasibility and adoption plan
Check recency, completeness and ownership.
Red flags
Signals that should trigger a review.
Expected value is expressed only as innovation
Address the cause before treating the recommendation as approval-ready.
Data readiness is assumed
Address the cause before treating the recommendation as approval-ready.
Human accountability is undefined
Address the cause before treating the recommendation as approval-ready.
Pilot success criteria do not include adoption or operating cost
Address the cause before treating the recommendation as approval-ready.
Executive output
The decision should produce more than verbal approval.
01Decision and scope
What is approved, deferred or excluded.
02Assumptions and risks
Remaining uncertainty and control actions.
03Roadmap and owners
Sequence, owners, milestones and dependencies.
04Governance cadence
Reviews, KPIs, escalation and exit criteria.
Related solution
AI InfraReady™
The guide helps prepare the decision. A formal recommendation requires context-specific scope, evidence and validation.