Choose one workflow, not a platform program
A 10-person business should start with one repeated workflow: intake sorting, meeting follow-up, account research, weekly reporting, or internal knowledge retrieval. McKinsey State of AI 2025 is relevant because the broader market has moved past awareness, but many organizations still struggle to convert AI use into scaled operating impact.
IBM Institute for Business Value AI capabilities research supports a practical roadmap because AI capability depends on data, adoption, measurement, and operating ownership. For a small team, the owner should be the person accountable for the workflow result, not a detached technology sponsor.
Clean up access before the assistant spreads
Microsoft 365 Copilot data protection architecture matters because small businesses often keep sensitive customer, finance, and employee data in shared drives and collaboration tools. AI should not get broader access than a person should have.
NIST AI Risk Management Framework gives a simple way to keep the roadmap disciplined: map the use case, measure risk, manage controls, and govern the rollout. If those four pieces are not named, the team is still experimenting.
Make the 90-day target concrete
By day 90, the team should know whether the workflow saved operator time, reduced rework, improved response quality, and stayed within the approved risk boundary. Expand only after that evidence exists.
Start with the AI Opportunity Score, then use a QuickStart AI Audit to turn the roadmap into governed next steps.
