--- title: "AI Readiness Assessment Guide | Choice Apps" description: "Download a practical AI readiness assessment guide for evaluating use cases, data, governance, integration, people, and pilot evidence before you invest." canonical: "https://choiceapps.us/resources/whitepapers/ai-readiness/" image: "https://choiceapps.us/brand/choice-apps.png" content_signal: "search=yes, ai-input=yes, ai-train=no, use=reference" --- [White papers](https://choiceapps.us/resources/whitepapers/) / AI Readiness Before AI Spend Free AI readiness white paper # AI Readiness Before AI Spend A practical, seven-dimension framework for deciding whether an AI opportunity is valuable, governable, and ready for a bounded pilot. - 10-page practical field guide - Research-backed with linked primary and authoritative sources - Immediate PDF access after a short contact form Inside the guide ## A decision framework you can use. - A seven-dimension readiness model covering outcomes, workflow, data, technology, governance, people, and measurement - A scorecard that turns vague readiness concerns into a practical work list - A six-step path from assessment to a reversible, measurable pilot - A 30-day readiness sprint and executive questions for the go, revise, or stop decision ## Who it is for - Business and operations leaders sorting real opportunities from AI pressure - Technology leaders preparing an AI roadmap or pilot - Risk, privacy, security, and data owners who need clear decision gates Why this matters now ## Popular topic, calibrated evidence. The guide pairs current market attention with public research and practical controls. These are context points, not promises of results. 88% of organizations reported using AI in at least one business function in 2025. [Stanford 2026 AI Index](https://hai.stanford.edu/ai-index/2026-ai-index-report) 70% reported generative AI use in at least one business function, while agent deployments remained early. [Stanford AI Index — Economy](https://hai.stanford.edu/ai-index/2026-ai-index-report/economy) 4 functions Govern, Map, Measure, and Manage organize NIST's voluntary AI risk framework. [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) Common questions ## Before you download What is an AI readiness assessment? It is a structured review of a specific use case, the workflow around it, its information and integrations, its risks, the people who will use or supervise it, and the evidence required to justify a pilot or broader rollout. Does readiness mean choosing an AI vendor? No. A useful assessment can show that process improvement or deterministic automation is the better first move. Vendor selection comes after the outcome, constraints, and operating model are clear. What should an AI pilot prove? It should compare business and quality outcomes against a baseline, expose failure modes and review effort, test security and integration boundaries, and support an explicit scale, revise, or stop decision. ## Want help applying the guide? Bring one workflow, decision, or system that is creating friction. We can help you turn it into a practical assessment, pilot, or delivery path. 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