The board wants to know where the company stands on AI - relative to the industry, not just internally. You're delivering workshop findings when they want quantified benchmarks they can compare.
You need to understand how work actually happens across every function before you can advise on AI. Running those interviews manually means one company takes months.
You deliver an AI readiness report, the company acts on it, but six months later nobody can show the board whether they've closed the gap. Without a scored baseline, there's no way to prove what changed.
Set up interviews around AI readiness, adoption barriers, and use case potential. Target the functions where AI is most likely to create value for that company.
Reach stakeholders across operations, IT, data, and frontline teams - in parallel, without scheduling overhead. Capture how work actually happens today.
Every response is scored automatically. Build a quantified picture of AI readiness across functions, teams, and use cases - a benchmark the board can track and compare over time.
Run the same interviews quarterly or post-initiative. Show the board what shifted, where adoption stuck, and where gaps remain - with before-and-after evidence.