74% of AI initiatives inside companies are already failing. Most leaders do not find out until month 9.
$200K+
Average sunk cost before a missequenced AI initiative is abandoned. Source: McKinsey, 2024.
The problem is never the technology. It is the order of decisions made before the first line of code is written. This 5-question benchmark tells you exactly where your sequencing breaks down, before your budget does.
- 2 minutes
- 5 questions
- No vendor agenda
Why AI Readiness Assessment Matters Before Digital Transformation Investment?
According to McKinsey, 74% of AI initiatives fail to deliver expected value because organizations underestimate the foundational requirements for successful implementation. A structured AI readiness assessment identifies gaps in data infrastructure, organizational capability, and process maturity before committing significant budget to AI projects. Without this AI readiness assessment baseline, companies risk investing in solutions that their infrastructure cannot support.
For growing companies across every industry, the stakes are high. A poorly scoped AI initiative can consume 6 to 12 months and $200,000 or more without delivering measurable ROI. This AI readiness assessment helps you avoid that outcome by matching your current maturity level to the right implementation approach, regardless of your sector or company size.
Who should take this assessment?
A manufacturing CEO three months into an AI rollout told us: “We thought we were behind. We were actually unready. Those are very different problems.”
His company had the budget, the vendor, and the board’s approval. What it did not have was clean data, a change-ready workforce, or a process map that AI could actually improve. 9 months, the project was paused. The gap was identifiable in week 01. It just was not identified. This benchmark takes 2 minutes and tells you whether you are behind or unready, so the next decision your team makes is the right one.