# AI Readiness Assessment

> An AI readiness assessment is a structured review of how prepared an organization is to adopt AI, covering its processes, data quality and accessibility, systems and APIs, security and compliance requirements, team skills and leadership goals. The output is typically a prioritized list of AI opportunities, the gaps that would block them, and a practical roadmap with estimated effort and cost.

## Why it matters for your business

Many AI projects stall for reasons that could have been found in the first week: data scattered across spreadsheets, a core system without API access, unclear ownership or a compliance requirement nobody checked. An assessment surfaces those constraints before money is spent on building, and ranks opportunities by value and feasibility rather than by what is most exciting. It is most useful for companies that know they should use AI but are unsure where to start, or that have run pilots without reaching production.

## Example

A manufacturer with 200 employees commissions an AI readiness assessment. Interviews and a systems review find that quality reports are well structured and accessible, while sales data is split between an old CRM and spreadsheets. The roadmap recommends starting with quality report analysis, which can begin now, and cleaning up CRM data before attempting AI sales forecasting.

Related terms: https://www.lumeor.studio/glossary/generative-ai-strategy/, https://www.lumeor.studio/glossary/proof-of-concept/, https://www.lumeor.studio/glossary/ai-governance/, https://www.lumeor.studio/glossary/digital-transformation/, https://www.lumeor.studio/glossary/fractional-ai-officer/

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Source: https://www.lumeor.studio/glossary/ai-readiness-assessment/