An AI Strategy Roadmap for Companies: A 90-Day Plan

Many companies approach AI as a tool: buy a license, hand it to the team, wait for results. This is the common trait of AI initiatives that produce no value — procurement, not strategy.

First 30 days — Discovery: Map existing processes and pick the 3 highest-impact use cases. At this stage you discuss the business problem, not the technology. The guiding question is: 'Which of our work is slow, expensive, or error-prone?'

Days 30–60 — Pilot: Run a controlled pilot on a single chosen scenario. Define the success criterion in advance: a measurable goal like 'cut response time in half.' Keep the pilot small but run it on real data.

Days 60–90 — Measure and decide: Compare the pilot's results against the baseline. If it worked, scale it; if not, learn and move to the next scenario. This discipline protects you from the 'endless pilot' trap that drains AI budgets.

The critical point: an AI strategy is not a technology project, it is a change management project. Without the team's AI literacy, process redesign, and clear ownership, even the best model gathers dust.

By the end of 90 days you should have: one proven use case, a measured return, and a roadmap for the next quarter. The goal is a working plan, not a perfect one.