Know where your portfolio companies
actually stand on AI.
A 2-minute self-assessment that benchmarks your portfolio's data infrastructure and AI maturity against 200+ PE-backed companies. Instant score. Actionable report. No sales call required to get it.
Five dimensions.
One composite score.
The AI Readiness Assessment evaluates the building blocks every PE portfolio needs to deploy data-driven value creation — from portco data quality to fund-level AI alignment.
Quality, standardization, and cross-portfolio accessibility of your portco data assets.
KPI tracking, value creation plan measurement, and predictive operating insights.
Maturity of AI deployment across portfolio companies — POCs vs. production impact.
Cloud migration maturity, tech stack standardization, and infrastructure scalability.
Data talent strategy, fund-level AI alignment, and portfolio-wide capability building.
Three steps.
Under two minutes.
Built for operating partners and portco CTOs who know their stack. Every question is answerable in under 10 seconds.
One question at a time. Multiple choice. Each option describes a real maturity state we observe across PE portfolio companies.
Composite score from 0–100 with tier label and dimension-level breakdown benchmarked against 200+ portfolio companies.
3 prioritized recommendations with quantified expected impact. Something you can bring to your investment committee or operating team.
The gap between “we have data”
and “data drives MOIC” is measurable.
PE funds are wired to measure everything — except the data readiness of their own portfolio. The funds pulling ahead aren’t just investing in AI; they’re building the infrastructure to deploy it as a repeatable value creation lever across every portco.
PE funds with data-mature portfolio companies consistently realize higher multiples at exit. The ability to demonstrate AI-driven operational improvement is becoming a valuation driver buyers pay a premium for.
Production AI requires clean data, reliable pipelines, and organizational alignment. The score tells your operating team exactly where each portco’s gaps are before you burn six months and seven figures finding out the hard way.
Based on our benchmark dataset of 200+ portfolio companies. Most PE-backed companies are in the “Building” tier — ahead in some dimensions, behind in others. Knowing which is the first step to a targeted value creation plan.
PE portfolio company transformation is what we do.
- Deep PE portfolio company experience: we’ve deployed data infrastructure and AI across mid-market portcos in healthcare, manufacturing, financial services, and SaaS.
- We understand the 100-day plan cadence. Our engagements are scoped to PE timelines — not multi-year enterprise transformation programs.
- Our benchmark data comes from real engagements with portfolio companies, not surveys. We know what good looks like at companies your size.
- Outcome-aligned engagement model: our revenue is tied to the EBITDA impact we deliver, not the hours we bill.
FAQ
What is this AI Readiness Assessment for PE?
This is a 2-minute, 10-question self-assessment designed specifically for PE operating partners, VPs of value creation, and portfolio company CTOs. It scores your portfolio’s AI readiness across five dimensions — Data Foundation, Operational Analytics, AI/ML Production Readiness, Technology Modernization, and Org & Talent Readiness — producing a composite score from 0–100 benchmarked against 200+ portfolio companies.
Who should take this assessment?
This assessment is designed for PE operating partners, VPs of value creation, portfolio company CTOs, and anyone responsible for technology-driven operational improvement across a PE portfolio. It’s particularly valuable during the first 100 days post-acquisition or when evaluating where to invest in data and AI capabilities.
How long does the assessment take?
The assessment takes approximately 2 minutes to complete. There are 10 multiple-choice questions, each answerable in under 10 seconds. Your score and PDF report are generated immediately upon completion.
Is the assessment really free?
Yes. The assessment, your composite score, peer benchmarks, and the full PDF report with prioritized recommendations are all free. No sales call is required to receive your report.
How are scores calculated?
Scores are calculated across five weighted dimensions: Data Foundation (25%), Operational Analytics (25%), AI/ML Production Readiness (20%), Technology Modernization (20%), and Org & Talent Readiness (10%). Your composite score is normalized to a 0–100 scale and compared against benchmark data from 200+ PE portfolio companies.
What do I get after completing the assessment?
After completing the assessment you receive an instant composite score (0–100), a tier classification (Foundational through Leading), dimension-level scores with peer comparisons, and a downloadable PDF report with 3 prioritized, impact-quantified recommendations specific to your lowest-scoring dimensions.
What is a good score for a PE portfolio?
The average score across PE portfolio companies in our benchmark dataset is 42, placing most in the “Building” tier. Scores above 61 are considered “Advanced” and above 81 are “Leading.” Most portfolios have strong performance in 1–2 dimensions and significant gaps in others.
Can I use this to assess individual portfolio companies?
Yes. While the assessment is designed to evaluate portfolio-wide AI readiness, many operating partners take it once for their overall portfolio view and then again for specific portfolio companies they are evaluating for data and AI investment. The recommendations are actionable at both the fund and portco level.
State of Data & AI in PE Portfolio Companies 2026
Our Q1 2026 benchmark report analyzes data infrastructure maturity, AI adoption patterns, and technology investment priorities across 200+ PE-backed portfolio companies. Includes dimension-level benchmarks, tier distributions, and the top initiatives operating teams are prioritizing this year.
- Average scores by sector, revenue tier, and hold period
- The 3 dimensions where PE portcos are most underinvested
- What separates “Leading” portfolios from the middle tier
- GenAI adoption rates and measurable EBITDA impact benchmarks
Benchmark your portfolio
in 2 minutes.
Walk away with a score, a peer comparison, and 3 prioritized recommendations. The full PDF report is yours immediately — no follow-up call required.
Get Your Portfolio AI Readiness Score →