A score in the 60-70% range (AI-Curious) means you recognize AI’s potential but have some capability gaps. You should focus on foundational data cleanup and process documentation before launching major agent pilots.
This is often a #1 priority use case where AI agents continuously clean, match, and unify data from all sources to create a “single source of truth,” typically reducing data errors by 40-50%.
The tool calculates value based on your current team size and manual task volume, estimating the revenue impact and the marketing operational efficiency increase (often 50-133%+).
AI agents require clear “trigger-action” workflows to function. If your processes aren’t documented or repeatable, an AI agent cannot effectively autonomously manage them.
According to the 90-day roadmap, most teams with a “Solid” foundation can pilot their first specific use case, such as lead qualification, between Weeks 9 and 12.