AI Due Diligence

De-risk AI investments in M&A transactions.

M&A Advisory

De-risk your AI investment

When evaluating an acquisition target, understanding AI capabilities—and limitations—is essential for accurate valuation and integration planning.

Our AI Due Diligence service provides independent technical assessment of a target company's AI assets, infrastructure, data practices, and team capabilities. We identify risks, validate claims, and surface opportunities that inform deal terms and post-acquisition strategy.

LOI

to Close Ready

IC

Formatted Report

4

Areas Evaluated

AI Due Diligence Assessment

Assessment Scope

What we evaluate

Comprehensive technical diligence across four critical dimensions.

Technology & Architecture

Current AI capabilities, tech stack, vendor dependencies, and technical debt.

Data Infrastructure

Data quality, governance, accessibility, and AI-readiness.

Integration Complexity

Compatibility with acquirer systems and post-acquisition integration considerations.

Risk Assessment

AI-related liabilities, overstated capabilities, and hidden technical risks.

Our Process

How we work

Structured to fit your deal timeline—thorough but efficient.

01

Scope Definition

Align on priorities, timeline, and key questions for the assessment

02

Document Review

Analysis of technical documentation, architecture diagrams, and data flows

03

Technical Interviews

Deep-dive sessions with engineering, data, and product teams

04

Findings Synthesis

Risk categorization, opportunity identification, and integration analysis

05

IC-Ready Report

Executive summary and detailed findings structured for decision-makers

Deliverables

What you receive

A comprehensive report structured for Investment Committee review.

Executive Summary

Board-ready overview of findings, risks, and recommendations

Technical Assessment

Detailed analysis of AI capabilities, architecture, and technical debt

Risk Matrix

Categorized risks with severity, likelihood, and mitigation strategies

Integration Roadmap

Post-acquisition integration considerations and timeline estimates

Ideal For

Who this is for

Private Equity Firms

Evaluating AI-enabled targets for investment or add-on acquisitions

Strategic Acquirers

Assessing AI capabilities and integration complexity for M&A

Corporate Development

Conducting technical diligence on potential acquisitions

Investment Committees

Requiring independent AI assessment for deal approval

Deal-Ready Timeline

Designed for your LOI-to-close window

We work on your timeline. Contact us to discuss your deal and how we can support your diligence process.

Discuss Your Timeline

Questions & Answers

FAQs

AI due diligence is a comprehensive technical and strategic evaluation of a target company's AI capabilities, technology assets, data infrastructure, and AI-driven value creation potential. It is designed for private equity firms and strategic acquirers evaluating investments or acquisitions.

AI capabilities increasingly drive company valuations, competitive positioning, and operational efficiency. Understanding the quality, scalability, and risks of a target's AI assets helps inform investment decisions, valuation accuracy, and post-acquisition value creation strategies.

We assess existing AI/ML models and their performance, data quality and infrastructure, technical team capabilities, IP ownership and licensing, scalability and technical debt, competitive positioning of AI capabilities, and regulatory compliance. The evaluation results in a detailed risk assessment and opportunity analysis.

Most AI due diligence projects take 2-4 weeks depending on the target company's complexity and data room accessibility. We work within your M&A timeline to deliver findings before investment committee meetings or close deadlines.

Yes, we are experienced working within compressed deal timelines. We can mobilize quickly and provide preliminary findings within days if needed, followed by comprehensive reporting as diligence progresses.

Absolutely. We are experienced with confidential M&A processes, virtual data rooms, and strict NDA requirements. Maintaining confidentiality and working securely are standard practice for our team.

You receive a detailed technical report covering AI capabilities assessment, risk matrix, competitive analysis, data and infrastructure evaluation, team assessment, post-acquisition recommendations, and an executive summary for investment committees.

Yes, many clients engage us after close to execute on recommendations from the diligence phase. This might include AI integration across portfolio companies, upgrading technical capabilities, or implementing new AI solutions to drive value creation.