Build a 90-Day AI Adoption Roadmap

A 90-day roadmap should not promise enterprise transformation. It should align leaders, prepare one valuable use case, launch safely, learn from real behavior, and make a defensible next decision. This decision connects to Build an AI Strategy That Starts With Business Value and Turn Company Priorities Into an AI Opportunity Portfolio, which provide the strategic direction and portfolio context. Use this four-part leadership framework Days 1–30: align and prepare — Confirm outcome, owner, baseline, users, data, controls, tests, training, and fallback. Days 31–60: launch and learn — Use a bounded group, observe work, review every exception, and respond quickly. Days 61–90: stabilize and decide — Fix patterns, document operations, measure value and trust, then stop, repeat, or scale. Throughout: communicate — Tell people what is changing, what is not, where judgment remains, and how to raise concerns. A practical decision example A service company launches an internal assistant with one team and approved sources. Weekly reviews track supported answers, correction time, adoption, exceptions, and employee confidence before any expansion. This is a hypothetical example; use your own baseline, constraints, and evidence. Evidence, governance, and responsible use Use the NIST AI Risk Management Framework to connect the initiative to governance, context, measurement, and ongoing management. The companion NIST AI RMF Playbook turns those functions into questions leaders can assign and review. The GAO AI Accountability Framework is useful for examining governance, data, performance, and monitoring across the system life cycle. Compare the plan with the OECD AI Principles, particularly transparency, robustness, accountability, and respect for people affected by the system. For generative AI, review the NIST Generative AI Profile and test representative cases using OpenAI’s evaluation guidance. Use the OWASP Top 10 for LLM Applications to discuss application threats before a model can access sensitive information or take actions. Check performance statements against the FTC’s guidance on AI claims, and review information handling with the FTC’s privacy and security resources. For a broader organizational management approach, study the ISO/IEC 42001 overview. Take this to the next leadership meeting Create a weekly roadmap with decisions, evidence, owners, users, training, controls, communication, and a day-90 executive review. Remove activities that do not reduce a named uncertainty. Record the owner, evidence source, decision date, and what would cause the company to stop. The goal is not to make the document look complete. The goal is to make the next decision explicit, measurable, and accountable. Continue with Communicate an AI Initiative to Employees, Customers, and the Board. Use Run a Quarterly AI Portfolio Review: Keep, Fix, Scale, or Stop to revisit the decision with current evidence.