AI RISK ASSESSMENT FOR M&A DUE DILIGENCE

AI risk due diligence that finds
material issues before signing and close.

AI risk due diligence that finds
material issues before signing and close.

A focused AI risk assessment delivered alongside legal, financial, and technical DD. We identify material issues, explain the deal relevance, and provide a written report before signing.

A focused AI risk assessment delivered alongside legal, financial, and technical DD. We identify material issues, explain the deal relevance, and provide a written report before signing.

Discuss a deal

How we support the deal lifecycle

How we support the deal lifecycle

How we support the deal lifecycle

What

AI Risk Assessment for M&A Due Diligence: AI system inventory, EU AI Act classification, governance gap analysis, data risk, contractual liability flags, and materiality assessment with deal-specific recommendations. Delivered in 2–3 weeks on a fixed fee.

Why

Post-Acquisition AI Governance: for portfolio companies post-close. We remediate identified gaps, build governance systems, and provide ongoing advisory.

How

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

Decision-ready AI risk assessments

AI governance that delivers ROI from AI

AI governance that delivers ROI from AI

A written assessment built for investment decisions, deal protections, and post-close planning.

A focused workstream for identifying material AI exposure before close.

Discuss a deal

AI Risk Assessment for PE, VC and M&A Due Diligence

  • AI system inventory

  • EU AI Act classification

  • Data and governance gaps

  • Materiality assessment

A focused review of the target’s AI estate, legal exposure, governance, data risk, and contractual liabilities — delivered as a written report for the deal team.

AI Risk Assessment for PE, VC and M&A Due Diligence

  • AI system inventory

  • EU AI Act classification

  • Data and governance gaps

  • Materiality assessment

A focused review of the target’s AI estate, legal exposure, governance, data risk, and contractual liabilities — delivered as a written report for the deal team.

Deal-Specific Risk Findings

  • Contractual liability flags

  • Supplier and model dependencies

  • Data risk review

  • Written DD report

We identify the issues most likely to affect valuation, transaction documents, integration planning, or post-close remediation — then set out clear recommendations for the deal team.

Deal-Specific Risk Findings

  • Contractual liability flags

  • Supplier and model dependencies

  • Data risk review

  • Written DD report

We identify the issues most likely to affect valuation, transaction documents, integration planning, or post-close remediation — then set out clear recommendations for the deal team.

Post-Acquisition Responsible AI Governance

  • Remediation roadmap

  • Governance system build

  • Executive reporting

  • Ongoing advisory

For portfolio companies after close: remediate identified gaps, build practical governance systems, and maintain oversight as AI use expands.

Post-Acquisition Responsible AI Governance

  • Remediation roadmap

  • Governance system build

  • Executive reporting

  • Ongoing advisory

For portfolio companies after close: remediate identified gaps, build practical governance systems, and maintain oversight as AI use expands.

From hidden AI exposure to clear deal actions

Benefits
Why organisations work with us

Benefits

Why organisations partner with us on AI governance

Material AI risk identified

Surface EU AI Act exposure, governance gaps, data risk, and liability flags before they become post-close problems.

Deal-specific recommendations

Get a concise view of materiality, likely impact, and the actions to address issues in the transaction.

Practical post-close plan

Prioritise remediation and governance build after completion, with clear ownership and an advisory path.

A focused AI risk DD workstream

A clear, structured engagement

A clear, structured engagement

14–21 working days, fixed fee, written report. Designed to fit the pace and evidence base of a live transaction.

Getting started developing the systems to build & deploy AI safely is quick and straightforward.

Here's everything you need to know about our process.

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Step 1

Identify

We map the target’s AI systems, use cases, data flows, vendors, and decision points. We then identify the risks most likely to affect the transaction.

Step 2

Assess

We review regulatory, contractual, governance, data, and operational exposure. Each finding is assessed for evidence, materiality, and likely deal impact.

Step 3

Act

You receive a clear written report with prioritised findings and practical actions for valuation, transaction documents, integration, and post-close remediation.

Step 1

Identify

We map the target’s AI systems, use cases, data flows, vendors, and decision points. We then identify the risks most likely to affect the transaction.

Step 2

Assess

We review regulatory, contractual, governance, data, and operational exposure. Each finding is assessed for evidence, materiality, and likely deal impact.

Step 3

Act

You receive a clear written report with prioritised findings and practical actions for valuation, transaction documents, integration, and post-close remediation.

AI risk assessment for transactions

AI due diligence that supports the deal decision

AI due diligence that supports the deal decision

€35m

fine

Under the EU AI Act for serious non-compliance, with additional penalties (up to €15M/3%) for governance/ oversight failures.

6-12

months

Average delay in enterprise procurement when AI governance and risk controls are lacking or can’t be demonstrated.

70%

or more

Of AI incidents trace back to governance, oversight, or decision failures — not model performance.

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.

30%+

Proportion of organisations reporting fines or regulatory impact on contracts during to lack of AI governance.

€35m

fine

Under the EU AI Act for serious non-compliance, with additional penalties (up to €15M/3%) for governance/ oversight failures.

6-12

months

Average delay in enterprise procurement when AI governance and risk controls are lacking or can’t be demonstrated.

70%

or more

Of AI incidents trace back to governance, oversight, or decision failures — not model performance.

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.

30%+

Proportion of organisations reporting fines or regulatory impact on contracts during to lack of AI governance.