Start with workflow inventory
A 250-person business has enough complexity for AI to matter and enough fragmentation for AI to fail if it starts as disconnected pilots. McKinsey State of AI 2025 is relevant because scaled value is tied to workflow redesign and transformation practices, not experimentation alone.
The first month should inventory recurring work: reporting, intake, account research, ticket triage, proposal drafting, collections follow-up, and knowledge retrieval. IBM Institute for Business Value AI capabilities research supports this capability lens because value depends on data, operating model, adoption, and measurement.
Govern access before broad rollout
Microsoft 365 Copilot data protection architecture matters in a 250-person company because the knowledge estate usually spans SharePoint, OneDrive, Teams, email, CRM exports, and finance workbooks. AI permissions should be reviewed before broad assistant access.
NIST AI Risk Management Framework gives the risk-management structure for prioritizing use cases: map context, measure failure modes, manage controls, and govern owners. Bain agentic AI transformation research is also relevant because agentic AI transformation depends on foundation work, not just tool activation.
Use the first 90 days to prove operating cadence
By day 90, the business should have a ranked workflow backlog, two or three governed pilots, baseline metrics, adoption owners, and a decision on what to scale or stop. The best roadmap is selective enough for leaders to manage.
Use Human Renaissance AI transformation services, the AI Opportunity Score, and the AI ROI Calculator to move from inventory to investment case.
