You're scoping AI transformation by interviewing managers, running workshops, writing up notes. It works, but it's slow, eats senior time, and isn't the AI delivery your client is paying for.
Clients don't want a recommendation - they want to know where they stand on AI. You need scored, benchmarked findings they can compare across teams, functions, and use cases.
You want something early in the engagement that proves to clients you can run the AI work, not just sell it.
Set up interviews around AI use cases, adoption barriers, and value drivers. Target the workflows where AI is most likely to land.
Engage 100+ stakeholders in parallel. Capture how work actually happens today and where AI could change it.
Every response is scored automatically. Build a quantified picture of AI readiness across the business - a benchmark your client can act on and track.
Scored findings, benchmarks, and evidence trails exported and ready for your team to build into client deliverables.