AI RISK ASSESSMENT FOR PE, VC AND M&A DUE DILIGENCE

AI risks in your next acquisition identified before close.

We help PE, VC and M&A deal teams, investors and advisers identify material AI-related risks in acquisition targets — covering EU AI Act exposure, AI governance and compliance gaps, and shadow AI risks — before deals sign and close.

Fixed fee. Written report. 2–3 week turnaround.

Specialist AI risk assessment for
deal teams under time pressure

AI risk assessment for private equity and M&A due diligence

EU AI Act enforcement is coming.

Most acquisition targets' AI systems have no formal governance, no risk classification, and no compliance documentation.

Most due diligence processes miss the AI-specific risk entirely.

We deliver a focused, specialist assessment that gives deal teams the findings they need to structure protections before signing.

  • AI Risk Assessments

    We identify the target’s material AI exposure across systems, data, governance, regulation, and contracts — then provide a clear written report for the deal team.

  • AI Risk Assessments

    We identify the target’s material AI exposure across systems, data, governance, regulation, and contracts — then provide a clear written report for the deal team.

  • AI Risk Assessments

    We identify the target’s material AI exposure across systems, data, governance, regulation, and contracts — then provide a clear written report for the deal team.

  • AI Governance Consulting

    We turn diligence findings into practical remediation, ownership, reporting, and controls for portfolio companies after close.

  • AI Governance Consulting

    We turn diligence findings into practical remediation, ownership, reporting, and controls for portfolio companies after close.

  • AI Governance Consulting

    We turn diligence findings into practical remediation, ownership, reporting, and controls for portfolio companies after close.

What we assess before close

What we assess before close

We identify the AI risks that can affect valuation, deal protections, and integration planning — then set out clear, deal-specific recommendations.

AI Due Diligence

AI Due Diligence

AI Governance Frameworks

Risk & Impact Assessment

Risk & Impact Assessment

Risk & Impact Assessment

Decision & Escalation Paths

Decision & Escalation Paths

Decision & Escalation Plans

Post-Close Remediation

Post-Close Remediation

Leadership AI GRC Training

Board-Level AI GRC Strategy

Board-Level AI GRC Strategy

Board-Level AI GRC Strategy

Enterprise AI Readiness

Enterprise AI Readiness

Enterprise AI Readiness

AI governance gaps discovered post-close
become indemnity claims and earn-out disputes.

AI governance gaps discovered post-close
become indemnity claims and earn-out disputes.

Risk is hidden in the data room

AI may sit inside the target’s product, operations, or customer systems without a complete inventory, clear ownership, or documented controls.

Regulatory exposure is material

The EU AI Act carries fines of up to €35M or 7% of worldwide revenue. Classification and governance gaps matter before signing, not after.

Liability is often undocumented

Contract terms, data practices, and supplier dependencies can create liabilities that standard DD workstreams do not surface.

happy woman working on laptop and smiling

Trust built from 30+ years of combined experience
from diverse industries & world-class institutions

Our expertise comes from diverse industries & world-class organisations.

Our team comes the regulated fields of AI, Financial Services, Law and Compliance, and studied at world-class educational institutions:

icons of businesses that back the company

AI risk due diligence for better-informed investment decisions

€35m

fine

Under the EU AI Act for serious non-compliance, with additional penalties for governance/ oversight failures.

62

%

of organisations have no formal AI governance policy — most acquisition targets are already exposed.

4

risk dimensions

AI risks can span product, data, suppliers, and governance — requiring a joined-up diligence view.

Tens

of millions

Typical reputational and legal cost of a single high-profile failure to comply with AI & Data Privacy Laws.

$9.2m

Average cost per AI-related compliance failure for large- and medium-sized enterprises.

1

written report

Potential sources of deal exposure across regulatory obligations, data practices, and AI governance gaps.

€35m

fine

Under the EU AI Act for serious non-compliance, with additional penalties for governance/ oversight failures.

62

%

of organisations have no formal AI governance policy — most acquisition targets are already exposed.

4

risk dimensions

AI risks can span product, data, suppliers, and governance — requiring a joined-up diligence view.

Tens

of millions

Typical reputational and legal cost of a single high-profile failure to comply with AI & Data Privacy Laws.

$9.2m

Average cost per AI-related compliance failure for large- and medium-sized enterprises.

1

written report

Potential sources of deal exposure across regulatory obligations, data practices, and AI governance gaps.

Frequently asked questions

Frequently asked questions

Clear answers for deal teams, advisers, and counsel working against the clock.

  • How does this fit alongside our existing DD process?

    We run as a specialist sub-workstream alongside your legal, financial, and technical DD teams. We need 10–15 working days, data room access to relevant documentation, and 2–3 hours of management time.

  • Who is this for?

    PE deal teams, M&A lawyers, corporate finance advisers, and operating partners at lower mid-market funds. We are most useful where AI is embedded in the target’s operations, product, or customer systems.

  • What does the assessment cover?

    We map AI systems, classify EU AI Act exposure, assess governance gaps and data risk, review contractual liability flags, and set out materiality with deal-specific recommendations in a written report.

  • What do we receive?

    A concise written AI risk report for the deal team, covering material findings, practical implications, and recommended actions for transaction documents, valuation discussions, and post-close planning.

  • How quickly can you complete the work?

    Most assessments are completed in 2–3 weeks. We work to the transaction timetable and can confirm scope quickly once we understand the target and available evidence.

  • What happens after close?

    We can support the portfolio company with remediation of identified gaps, governance system build, and ongoing advisory — focused on the priorities identified during diligence.

  • How does this fit alongside our existing DD process?

    We run as a specialist sub-workstream alongside your legal, financial, and technical DD teams. We need 10–15 working days, data room access to relevant documentation, and 2–3 hours of management time.

  • Who is this for?

    PE deal teams, M&A lawyers, corporate finance advisers, and operating partners at lower mid-market funds. We are most useful where AI is embedded in the target’s operations, product, or customer systems.

  • What does the assessment cover?

    We map AI systems, classify EU AI Act exposure, assess governance gaps and data risk, review contractual liability flags, and set out materiality with deal-specific recommendations in a written report.

  • What do we receive?

    A concise written AI risk report for the deal team, covering material findings, practical implications, and recommended actions for transaction documents, valuation discussions, and post-close planning.

  • How quickly can you complete the work?

    Most assessments are completed in 2–3 weeks. We work to the transaction timetable and can confirm scope quickly once we understand the target and available evidence.

  • What happens after close?

    We can support the portfolio company with remediation of identified gaps, governance system build, and ongoing advisory — focused on the priorities identified during diligence.