AI Audits for Private Equity

AI due diligence and portfolio audits, from LOI to exit.

Independent, evidence-scored AI assessment for deal teams and operating partners — where AI genuinely moves EBITDA in a target or portfolio company, and where it's a story.

Discuss a mandate → Across the deal cycle

Definition

An AI audit for private equity is an independent assessment of a target or portfolio company's AI maturity, risk and opportunity — scored across twelve dimensions and translated into deal terms: diligence findings before the LOI, value-creation levers after close, and a defensible AI narrative at exit.

Every CIM now claims AI. Almost none of them can show it. For deal teams, the question isn't whether a target "uses AI" — it's whether the claimed capability survives contact with evidence, what it would cost to build what's missing, and how much EBITDA is available to the owner who does.

Engagement Models

Four points in the deal cycle.

Pre-LOI

AI due diligence

Public-signal analysis of the target's real AI adoption, technology posture and hiring — confidential, without alerting the target.

Post-Close

100-day audit

Full twelve-dimension audit producing the AI workstream of the value-creation plan: initiatives, owners, measures.

Hold Period

Portfolio benchmarking

Comparable scorecards across portfolio companies; shared-services opportunities and a fund-level AI view.

Pre-Exit

Exit readiness

An evidence-backed AI narrative buyers can diligence — capability demonstrated, risk addressed, roadmap priced.

Private equity advisors reviewing AI due diligence findings

In consolidating markets, capital allocation is the loudest signal. AI capability is becoming the second.

AI Success Model · Positions

Why This Firm

Built for evidence, priced for the middle market.

The same engine behind our published market teardowns — read the pet-care analysis covering the PE veterinary consolidation wave to judge the thinking — applied to your target or portfolio. Fixed-fee, fast, and implementation-neutral: findings carry no software agenda. Where building is wanted, our parent company NeuroBling AI deploys the systems.

Read the PE-relevant teardown →

Deal team reviewing portfolio company AI audit

Questions

Private equity AI audit FAQ.

What is an AI audit for private equity?+

An AI audit for private equity is an independent assessment of a target or portfolio company's AI maturity, risk and opportunity — scored across twelve dimensions and translated into deal terms: diligence findings pre-LOI, value-creation levers post-close, and readiness narrative at exit.

Can you run AI due diligence before an LOI?+

Yes. Pre-LOI engagements are compressed and confidential: public-signal analysis of the target's real AI adoption, technology posture, hiring patterns and competitive AI position — without alerting the target — plus a risk and opportunity summary for the deal team.

How do audits fit a 100-day plan?+

A post-close audit in the first weeks of ownership gives operating partners a scored baseline and a sequenced set of AI initiatives with owners and measures — the AI workstream of the 100-day plan, grounded in evidence rather than vendor pitches.

Do you audit multiple portfolio companies?+

Yes. Portfolio-wide programs apply the same twelve-dimension scorecard across companies, producing comparable scores, shared-services opportunities, and a fund-level view of where AI moves EBITDA before exit.

Next Step

Bring us the deal question.

Pre-LOI, post-close, or portfolio-wide — scope, fee and timeline confirmed in one confidential conversation.

Discuss a mandate → See the full audit methodology