How to Start an AI Project: A Simple Step-by-Step Roadmap for Business Owners

Follow a step-by-step guide to start your first AI project—from workflow mapping to MVP launch.

Step 1: Identify the Right Use Case

Don't start with the most complex problem. Look for repetitive, time-consuming tasks that follow predictable patterns. Customer support, data entry, and scheduling are great starting points.

Step 2: Map Your Current Workflow

Document exactly how the task is done today. Every step, every decision point, every exception. This becomes the blueprint for your AI solution.

Step 3: Start with an MVP

Build the minimum viable product—something simple that solves one specific problem. Get it working, measure results, then expand. Most successful AI projects start small.

Step 4: Measure and Iterate

Track clear metrics: time saved, costs reduced, revenue increased. Use this data to refine and improve. The best AI systems evolve based on real-world performance.