Enterprise Intelligence Group
Retail Intelligence Maturity Model™
Six AI-readiness discussion prompts covering outcomes, knowledge, data, process, governance and technology. No score is calculated.
Retail Intelligence Maturity Model
Six AI-readiness discussion prompts covering outcomes, knowledge, data, process, governance and technology. No score is calculated.
A concise framework for reviewing a proposed AI use case. Six dimensions help a team record evidence, unresolved gaps, owners and next checks. The publication does not calculate a maturity score, certify readiness or supply a completed implementation roadmap.
The principle
For each dimension, record the evidence, the open issue, an owner and the next check. This is a discussion framework, not deployment approval or a required step before consulting.
The model
01. Business-Outcome Alignment
Which business decision would AI support? Name its owner, the outcome sought and the evidence that would show whether the proposed capability helps.
02. Enterprise Knowledge Readiness
Which rules, records and expert judgments does that decision depend on? Identify their owners, review status and any conflicting or missing sources.
03. Data & Context
Is the required data available and permitted for this use? Check meaning, quality, timeliness and relevant store, product or market context; record unresolved limitations.
04. Process & Adoption
Where would the capability sit in the workflow? Identify its users, hand-offs, training needs and exception path. Establish who will review whether it is useful in practice.
05. Governance & Trust
Who remains accountable for the decision? Define permissions, evidence requirements, evaluation checks, human approval and how an unreliable or disputed output would be handled.
06. Technology Path
What integration, security and support requirements would apply? Compare reuse with new technology, including portability, supplier dependencies and exit arrangements; do not assume any option avoids lock-in.
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