Enterprise Intelligence Group
AI readiness is whether your data, knowledge, processes and people can turn AI into a business outcome — and five of its six dimensions have nothing to do with technology. The EIG Retail Intelligence Maturity Model, and how to see where you stand.
Most AI maturity assessments score your technology — how many tools you own, which platforms you have bought. After fifteen years in retail and CPG, I can tell you that is the wrong scorecard. AI readiness has very little to do with your tool count. It has everything to do with whether your data, knowledge, processes and people are ready to turn AI into a real business outcome.
So we score readiness, not technology. Here is how.
The six dimensions of AI readiness
Our Retail Intelligence Maturity Model looks at six things. Notice that five of them have nothing to do with technology:
1. Business-outcome alignment — is AI tied to margin, growth, productivity or customer experience, or is it a science project? 2. Enterprise knowledge readiness — is the knowledge behind your decisions captured and usable, or trapped in people's heads? 3. Data and context foundation — are your definitions, hierarchies, rules and exceptions trusted enough to build on? 4. Process and adoption fit — where can AI realistically help without breaking accountability? 5. Governance and trust — what guardrails, approvals and human-in-the-loop controls do you need? 6. Technology and delivery path — and only then , which mix of retrieval, knowledge bases, copilots and agents makes commercial sense?
Why readiness beats tooling
Here is the uncomfortable truth behind most failed AI projects: the technology usually worked. The organization was not ready to trust it, govern it, or fit it into how the business actually runs. A brilliant model on an ungoverned knowledge base produces confident, untraceable answers — which is worse than no answer at all.
The stakes justify the discipline. McKinsey estimates generative AI could unlock $240–390 billion in value for retailers — a 1.2 to 1.9 percentage-point margin uplift ([LLM to ROI](https://www.mckinsey.com/industries/retail/our-insights/llm-to-roi-how-to-scale-gen-ai-in-retail), McKinsey, 2024) — while noting that few retailers have yet realized that potential at scale. Readiness is what separates the few from the many: it turns a promising demo into a deployed capability that changes a number you care about.
From a score to a roadmap
The assessment gives you an honest, comparable picture across those six dimensions — Emerging, Developing or Ready — and, more importantly, a prioritized roadmap : where the value is, where the risk is, and the quick wins worth doing first. That is the assessment half of what happens inside the Retail Intelligence Discovery Workshop.
Frequently asked questions
What does an AI readiness assessment cover?
A good one covers six dimensions: business-outcome alignment, enterprise knowledge readiness, data and context foundations, process and adoption fit, governance and trust, and only then the technology path. The output is a maturity picture plus a prioritized roadmap — what to fix first, what to pilot first, and what to leave alone.
How long does the EIG AI Maturity Assessment take?
About five minutes. It is free, there is no hype, and you receive an honest read across all six dimensions rather than a score designed to sell you software.
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