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AI Due Diligence

Protect value, unlock growth

AI due diligence evaluates AI‑driven risks and readiness across technology, data and talent to protect deal value and identify actionable AI use cases that drive revenue uplift and cost efficiency.

Deploy capital with confidence

AI due diligence is now a core component of the investment thesis when acquiring a business. Investors and lenders must be comfortable that there is no near-term or structural AI-driven threat to the target’s business model, including substitution risk, margin erosion, loss of pricing power or displacement by AI-native competitors.

AI due diligence assesses the extent of market disruption across the value chain and the business’s ability to upskill its operating model, technology stack, data and talent to remain competitive in an AI-enabled environment.

AI due diligence can translate into an actionable value creation roadmap, including priority AI use cases, required platform and data investments, operating model changes and a clear pathway to measurable revenue uplift, cost efficiency or enhanced defensibility over the hold period.

Leading AI Services Practice

28K +

Global AI, data and automation professionals

#1 ranked

for Analytics and Data science

by Gartner 

22 

Delivery centers in global delivery network

Deliverables and outcomes

Our work is actionable and focused on delivering value

Deliverables and outcomes

Our work is actionable and focused on delivering value

Helping our clients answer the key AI questions

With a focus on:

  • Does AI create a degree of AI-driven substitution, augmentation or commoditisation?
  • What is the impact on pricing power, margins and unit economics?
  • Does AI facilitate new entrants?
  • Are there Industry barriers to AI adoption (regulation, trust, data quality)?

With a focus on:

  • How does AI impact the strategic & customer positioning?
  • Is the organisation positioned and ready to exploit the AI opportunity (data, talent, customer)?
  • Can they embed AI into customer experience, products vs bolt-on features?
  • Governance, explainability and regulatory exposures?

With focus on:

  • Is there revenue uplift potential from AI-enabled products or pricing expansion?
  • What is the cost reduction opportunity from automation and productivity gains?
  • Is there incremental AI investment requirements (Opex & Capex intensity)?
  • What is the timing and certainty of EBITDA impact during the ownership period?

AI Aliances and Partnerships

“GenAI” consulting partner of the year 2024”

“2024 partner of the year for global industry solutions”

“2025 consulting partner of the year for EMEA”