How mid-market companies should start with AI: a 90-day plan

Weeks 1–2: baseline, not a bake-off. Run one diagnostic the leadership team agrees on, usually the AI Opportunity Report, so you share one picture of value and one vocabulary. Avoid parallel "evaluations" of six tools before you have defined a workflow.

Weeks 3–5: one pilot, end-to-end. Choose a process where you can see cycle time, quality, and hours saved with honest measurement. The pilot should be boring on purpose: a workflow that people already do every week, not a net-new science project.

Weeks 5–7: data and governance that match the pilot. If the pilot needs customer PII, route it the same way the pilot will run in production. A policy nobody follows is worse than a narrow rule everyone follows in one department.

Weeks 8–10: show evidence, kill or commit. A simple before-and-after table beats a narrative deck: cost of rework, time to answer a ticket, number of handoffs, error rate, or any metric your business already uses.

Weeks 11–13: scale or re-scope. If the pilot won, you have permission to add headcount, budget, and tool seats with shared proof. If it did not, you learned cheaply, which is still progress.

Next steps: use /programs, /assessment, and the AI Strategy for Business Leaders course for teams that need a formal strategy document inside the quarter.

This 90-day arc is the spine of how Elegantix works with mid-market teams before longer cohort or fractional engagement.