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AI Due Diligence for Private Equity Firms

AI due diligence for private equity firms checks a target's real AI capabilities, data quality, model risk, and key person risk before you close. 72% of PE-backed companies now claim AI in their pitch materials (Bain, "Global Technology Report 2025"). We separate the real from the marketing in 2-3 weeks, with board-ready findings your IC can act on.

Your deal team reads the CIM. It says "AI-powered" fourteen times. Your operating partner nods. The banker smiles.

Nobody in the room can tell you whether the models produce accurate outputs, whether the training data would survive a regulatory review, or whether the whole thing falls apart when the CTO leaves after the earn-out.

This is the gap that kills PE returns. Only 29% of PE firms build a digital value plan before the deal closes (BCG, "Private Equity's Future"). The other 71% find the AI problems after close, when they're expensive and politically messy to fix.

AI due diligence closes that gap before you wire the money.

Our PE-specific AI DD framework was built for how deal teams actually work: fast timelines, IC-ready outputs, and findings tied directly to deal economics.

By Dr. Leigh Coney, Founder of WorkWise Solutions

71%

Of PE Firms Skip Pre-Deal AI Assessment

2-3 Weeks

Fits Your Deal Timeline

5 Dimensions

PE-Specific AI Risk Assessment

IC-Ready

Board-Level Deliverables

PE-Specific Risks

Why PE Firms Need Dedicated AI Due Diligence

Generic tech DD wasn't built for what PE deal teams need to know. You're not buying a tech company for its code. You're buying a business where AI claims are baked into the valuation, the value creation plan, and the exit thesis.

The questions are different. The risks are different. The timeline pressure is real.

Deal Thesis Validation

The CIM says AI drives 40% of revenue growth. Is that true? We test the specific AI claims tied to your thesis. If the value plan depends on AI, you need to know whether the AI works before you price it in. Our AI Deal Screener helps PE teams spot these gaps early.

Value Creation Planning

Post-close AI projects fail when the foundation isn't there. We check whether the target's data, tech, and team can support the AI growth you're underwriting. You get a real timeline and cost estimate for your 100-day plan, not a consultant's fantasy.

Post-Close Integration Risk

AI tools are fragile in ways that ERP systems aren't. A platform migration can break model performance. A data pipeline change can corrupt training data. We map every integration risk so your operating team knows what they can touch and what they can't.

Key Person Dependency

Two engineers built the model. They're both on earn-outs that end in 18 months. What happens after? We check whether AI knowledge is documented, whether the tools run without specific people, and what retention risk really means for your investment. This risk doesn't show up in financial DD.

IP vs. Vendor Lock-In

Does the target own its AI, or rent it? We tell you which models are actually theirs (real IP) and which are API wrappers around third-party tools (vendor dependency). This matters for your exit multiple. A company that "uses AI" and a company that "owns AI" get very different valuations from the next buyer.

How It Works

How It Works for PE Deal Teams

Step 01 | Days 1-2

Align to Your Deal Thesis

We sit down with your deal team. You walk us through the investment thesis, the value plan, and the specific AI claims in the CIM. We pick the risks that matter most for this deal. Every engagement is scoped to your deal, not a generic checklist.

Step 02 | Days 3-10

Deep Assessment

We interview tech leads, review AI tools in production, test model outputs against real-world conditions, audit data pipelines, and check team capability. We also run a behavioral review to gauge whether people will use the tools and spot key person risk.

This runs in parallel with your other DD workstreams. We don't slow you down.

Step 03 | Days 11-14

Risk-Rated Findings

Every finding gets a risk rating tied to deal impact. Red, yellow, green. Not impressions. Specific issues with cost estimates, fix timelines, and deal term recommendations. We write it for your IC, not for engineers. If a finding should affect pricing, we say so.

Step 04 | Day 15

IC Presentation

Board-ready briefing for your IC. We present the findings, answer questions, and give you a roadmap for post-close AI priorities. Your IC walks away knowing what's real, what's not, and what it means for the deal.

Compare Your Options

WorkWise AI DD vs. Alternatives for PE Firms

	WorkWise AI DD	Big 4 Tech DD	Standard Financial DD	DIY Internal Review
PE Deal Alignment	Scoped to your investment thesis and value creation plan	Generic enterprise framework adapted to PE	No AI coverage	Depends on who you assign
AI Expertise	PhD-led, PE-specific AI assessment	Generalist tech consultants	None (outside scope)	Varies widely
Timeline	2-3 weeks	4-8 weeks	4-8 weeks	Unpredictable
Behavioral Assessment	Adoption readiness, key person risk, culture fit	Not assessed	Not assessed	Not assessed
Cost	Fixed fee, scoped to deal	$200K-500K+ with scope creep	Included in financial DD package	Hidden opportunity cost
Board-Ready Output	Risk-rated findings with deal impact and IC presentation	Technical report (needs translation)	Standard DD report	Internal memo (quality varies)

Bain's 2025 Global Technology Report found that "AI is moving from experimentation to deployment across industries, but the gap between leaders and laggards is widening."

For PE deal teams, the AI claims in your pipeline keep getting bigger. Standard DD can't verify them. The firms that add AI due diligence catch problems before close. The firms that don't find out at the first board meeting.

Source: Bain & Company, "Global Technology Report 2025"

Frequently Asked Questions

AI Due Diligence for PE Firms: FAQ

How does AI due diligence fit into our existing PE deal process?

It runs in parallel with your financial, legal, and commercial DD. We coordinate with your other advisors, share findings, and deliver on a timeline that matches your deal. Most PE deals already have a tech DD slot. We fill it with AI depth that generic tech DD misses. The final deliverable plugs straight into your IC materials.

What if our target company says they use AI but we're skeptical?

That's exactly when you need us. We test every AI claim against reality. Does the "AI-powered" pricing engine actually use machine learning, or is it just rules with a marketing label? Is the "proprietary model" a fine-tuned open-source model with no defensibility? We've seen both. More often than you'd expect. Our AI Readiness Diagnostic gives you a quick first read before committing to a full engagement.

Can you run AI DD in parallel with our other DD workstreams?

Yes, and that's how we designed it. We need access to the target's tech team and systems, which your deal team can arrange through the VDR and management presentation process. We coordinate with your financial, legal, and commercial DD advisors to avoid duplicate work. We also flag findings that matter for their workstreams.

What's the ROI of adding AI due diligence to our process?

Compare the cost of fixing an AI problem post-close to the cost of knowing about it before you set the price. A model that doesn't perform as claimed can mean millions in rebuild costs and 12-18 months of delayed value creation. A key person dependency can mean losing your AI capability entirely.

AI DD costs a fraction of a single post-close surprise. One finding that changes your deal terms or negotiation position pays for the engagement many times over.

Do you work with mid-market PE firms?

Yes. Mid-market is where AI DD often matters most. Larger targets might have dedicated AI teams and documentation. Mid-market companies tend to have AI built by a small group, with less documentation, more key person risk, and bigger gaps between claims and reality. We scope every engagement to your deal size and complexity.

How do you handle confidentiality during an active deal?

We sign NDAs before any engagement begins. Your deal data is never stored and never trains public models. Nothing persists after processing. We work live PE transactions every day. All work runs on SOC 2 compliant infrastructure. See our PE deal screening case study for an example.

Schedule Your PE-Focused AI Due Diligence Consultation

30-minute call with Dr. Leigh Coney. We'll talk through your target, your deal timeline, and whether AI due diligence fits this deal.

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