Map where AI is leaking value, where it is exposing data, and what to fix first.
About thirteen minutes. Twenty-seven structured questions across six blocks. A personalized report that names the fragmentation pattern, scores its density, calls out the structural gaps, and flags which of your tools are currently exposing client, fund, or privileged work. Built for the way a Managing Partner reads risk: throughput and data sovereignty on the same page.
The same diagnostic structure HIP applies to every paid Audit, in a self-serve format.
Structured analysis
Twenty-seven questions that mirror the first fifteen minutes of a senior advisor's intake conversation. Six blocks, defined enums, no ambiguity.
Specific exposures
Each AI tool you name is examined; the ones currently creating structural risk or data exposure in your stack are called out by name with a reasoned observation. Not a generic maturity score, not a heat map of color blocks.
Operator language
No tool tidiness, no governance hand-waving. Revenue, client experience, staffing, margin, and the data surface that shadow AI is widening every week. Where it actually hurts.
Three things that separate this from every other AI assessment.
Standalone value, not lead-gen scaffolding
Most AI maturity assessments anchor at zero or upsell into a six-figure discovery phase. This one is structured to give you actionable verdicts whether or not you ever engage HIP further.
Thirteen minutes from now, you will know more.
The Quick Audit is reviewed personally by Josef Holm, Principal at HIP, who reaches out only when there is a clear fit.