How to Start with AI in 90 Days: A Practical Roadmap

Many AI initiatives stall because they begin with technology instead of a business problem. A focused 90-day plan keeps the effort grounded and the stakes low.

Days 1 to 30: discover and prioritize

• List repetitive, high-volume or slow processes across teams.
• Score each by value, feasibility and risk.
• Check that the data you need exists and is accessible.
• Pick one or two candidates and define a measurable goal.

Days 31 to 60: build a pilot

• Build a working prototype on real data.
• Involve the people who will use it from the start.
• Add guardrails, human review and logging.

Days 61 to 90: measure and decide

• Compare results to your baseline: time saved, cost, quality or revenue.
• Collect feedback and fix the rough edges.
• Decide whether to scale, adjust or stop, and plan the next use case.

Common pitfalls

Trying to automate everything at once, ignoring data quality, skipping user training and having no success metric are the most common reasons AI projects disappoint.