Most companies can't prove what their AI is worth. Score your exit readiness across 5 dimensions in a few minutes and discover where a buyer would discount - or pay more.
Not another generic AI maturity framework. This scorecard applies a buyer's due diligence lens, so you know exactly where AI adds to your valuation - and where it creates risk.
15 questions across 5 dimensions with clear thresholds. Your rating goes from F (Multiple Compression) to A (Premium Ready) - the same language buyers use.
Every question is framed the way a buyer would ask it in due diligence. Revenue visibility, defensibility, cost control, operating leverage, and governance readiness.
Your three lowest-scoring areas become your priority list. Concrete gaps a buyer would flag - with clear direction on what to fix first.
Each dimension scores 0 - 20 based on 3 targeted questions. Together they reveal whether your AI would command a premium - or become a discount.
Can a buyer see AI in your revenue model? Measures pricing visibility, retention impact, and revenue per employee trend.
What do you own that a competitor can't replicate in 12 months? Covers proprietary data, switching costs, and IP ownership.
Does the organization understand and control AI costs? Measures cost visibility, return on investment, and forecast accuracy.
Does AI deliver proven, measurable impact - or is it "cool tech" with no P&L effect? Covers output vs. headcount, automation rate, and attributable impact.
Would your AI practices survive a buyer's legal team? Assesses governance documentation, IP ownership trail, and talent risk.
Answer 15 questions honestly. Each scores 0-4 based on what you can prove - not what you believe.
See your score per dimension: red (buyer would discount), yellow (needs work), green (strong position).
Your 3 lowest scores become your focus areas - the gaps a buyer would flag first.
Use the results as a starting point, or go deeper with our AI Exit Readiness assessment.
Score every portfolio company in your fund. Aggregate into a heatmap. Prioritize interventions by impact on exit multiples. Track quarter-over-quarter improvement across the portfolio.
Find out what a buyer would see when they look at your AI. Identify the 3 areas where you're leaving value on the table. Build the case for AI investment with concrete gaps - not opinions.
| Company | Revenue | Moat | Economics | Leverage | Governance | Total |
|---|---|---|---|---|---|---|
| Portco Alpha | ● | ● | ● | ● | ● | 62 / B |
| Portco Beta | ● | ● | ● | ● | ● | 38 / D |
| Portco Gamma | ● | ● | ● | ● | ● | 81 / A |
PE operating partners use the scorecard to create portfolio-wide heatmaps and prioritize AI interventions by impact on exit multiples.
Scored below a B? Our AI Exit Readiness assessment takes your scorecard results, validates them with data, benchmarks against peers, and delivers a board-ready report with a 90-day action plan.
15 questions, 5-10 minutes. See where you stand and where the gaps are.
3-week deep dive. Data-validated scores, peer benchmarks, and a concrete plan.
This scorecard wasn't built by AI enthusiasts. It was built by two former EY-Parthenon consultants who ran due diligence on the same tech and SaaS deals — one assessing the product and AI stack, the other stress-testing the financials. We've seen what buyers actually look for, from both sides of the same table.
Led product and technology assessments in due diligence for tech and SaaS deals at EY-Parthenon. Now works with leadership teams on AI decisions that have real consequences for cost, performance, and accountability - hands-on experience taking AI from pilot to production where outcomes had to hold up beyond the demo.
Ran the financial analysis on tech and SaaS due diligence at EY-Parthenon, buy-side and sell-side, building the models buyers rely on to size risk and justify multiples. Applied that same lens as a VC investor, managing a portfolio of several companies, stress-testing unit economics, and advising founders on the numbers that matter.
Get the AI Exit Readiness Scorecard and find out in a few minutes whether a buyer would pay a premium for your AI - or discount it.
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