AI Due Diligence

AI due diligence is comprehensive analysis of a company's AI capabilities, including data assets and machine learning systems to evaluate AI maturity, monetization potential, and associated risks. It's critical because AI increasingly drives competitive advantage, and poor AI implementation or data quality can significantly impact post-acquisition performance and future growth potential.

Our approach evaluates AI model performance, algorithm effectiveness, AI infrastructure scalability, and AI-driven monetization potential. We assess AI governance, ethics, bias risks, and competitive AI applications, providing insights that translate directly into investment decisions and post-acquisition AI value creation strategies.

Key AI risks include algorithmic bias affecting decision-making, AI model performance degradation, inadequate AI governance leading to compliance issues, over-reliance on proprietary AI systems, AI talent retention challenges, and ethical AI concerns that could impact brand reputation and regulatory compliance.

For buyers, AI due diligence reveals AI-driven competitive advantages, implementation maturity, and growth potential while identifying risks in AI governance and model performance. For sellers, it demonstrates AI leadership, quantifies AI-driven value creation, and positions AI capabilities as key differentiators that command premium valuations from AI-focused acquirers.

Our AI Due Diligence typically takes 4-8 weeks depending on AI system complexity, model sophistication, data infrastructure scope, and required analysis depth. We work within your transaction timeline and can expedite critical AI assessments while maintaining thoroughness and accuracy.

You will receive comprehensive reports covering AI architecture assessment, model performance evaluation, data quality analysis, and AI monetization opportunities. For buyers, this includes risk assessment with mitigation strategies and post-acquisition AI implementation roadmaps. For sellers, deliverables include AI competitive advantage documentation, value driver quantification, and compelling AI equity story materials that support premium valuation discussions.

OMMAX evaluates AI systems by assessing both their technical maturity and their ability to deliver reliable business outcomes. Our reviews cover model performance, reproducibility, AI operational maturity, monitoring and retraining processes, system resilience, and governance. We also evaluate dependencies on third-party models or APIs, fallback mechanisms, and operational risks that could affect long-term scalability. This structured assessment helps investors and organisations determine whether AI capabilities are ready for production, can operate reliably at scale, and support long-term value creation.
 

OMMAX integrates AI due diligence into the broader transaction process by combining commercial, technical, data, and governance assessments. We begin with an initial AI maturity review during deal screening before conducting deeper technical assessments of AI models, infrastructure, data quality, governance, and regulatory compliance. Our approach aligns AI due diligence with transaction timelines, ensuring material risks and value creation opportunities are identified before signing while providing clear recommendations for post-deal implementation.

OMMAX applies a practical, risk-based triage framework to AI due diligence, focusing first on the areas with the greatest impact on investment value and transaction risk. We prioritise data ownership and quality, model validity and performance, and dependencies on third-party models or APIs, alongside governance and regulatory compliance where needed. Through management interviews, data room reviews, and targeted technical assessments, we conduct a minimum viable AI review that identifies the most critical risks before signing. Lower-priority findings are documented with clear recommendations for post-close value creation, ensuring investors maintain a complete view of AI risks without delaying the transaction.
 

AI due diligence complements, rather than replaces, commercial and technology due diligence by evaluating the specific capabilities, risks, and business value of artificial intelligence. Commercial due diligence focuses on market attractiveness, competitive positioning, and the business model, while technology due diligence assesses software architecture, infrastructure, scalability, and code quality. AI due diligence sits alongside both, evaluating whether the AI models, data, and governance embedded in the business are reliable and support long-term value creation. OMMAX combines these perspectives to provide investors with an integrated view of AI-related risks, growth opportunities, and value creation potential throughout the transaction process.

OMMAX reviews a comprehensive set of technical and governance documentation to assess the maturity, reliability, and scalability of AI capabilities. This includes model cards, dataset documentation, training and deployment records, performance and monitoring logs, AI governance and deployment documentation, governance policies, and data ownership records. Missing or incomplete documentation may indicate operational immaturity, increased implementation risk, or AI capabilities that cannot be reliably reproduced or scaled. By combining AI, technology, commercial, and regulatory expertise, OMMAX validates whether AI capabilities support the investment thesis and long-term value creation.