AI Readiness Scorecard

What This Scorecard Measures

AI adoption in sales and RevOps is accelerating. CRO Report analysis of 12,000+ job postings shows "AI" appearing in 23% of VP Sales job descriptions in 2026, up from 8% a year ago. But most teams aren't ready to act on it.

This assessment evaluates four dimensions that determine whether AI initiatives will succeed or fail in your revenue organization:

Data Readiness (25%): AI tools are only as good as the data feeding them. We assess CRM data quality, single source of truth, data consolidation, and manual cleanup burden. Companies scoring below 50% here should fix their data foundation before investing in AI tools.

AI Adoption (25%): Where your team currently stands on the adoption curve, from no AI tools to integrated AI workflows. We look at tool usage, training, automations, and team comfort level.

Team Capability (25%): Technical resources, executive buy-in, change management experience, and adoption speed. The most common failure mode for AI initiatives is organizational, not technical.

Process Maturity (25%): Documented workflows, manual reporting burden, and forecast accuracy. Teams with undocumented processes can't automate what they haven't defined.

Your results include a percentile ranking against similar companies and specific recommendations based on your weakest areas. No email required to see your score.