AI Due Diligence
Our AI Due Diligence provides a comprehensive overview of target company's technology infrastructure and AI capabilities. We specialize in leveraging technology and AI power to drive successful transaction advisory outcomes for both buyers and vendors.
Unlocking AI value in acquisition targets
In today's AI-driven economy, artificial intelligence capabilities have emerged as critical value drivers in any transaction. OMMAX performs comprehensive assessments of AI ecosystems and capabilities, serving both buy-side investors evaluating AI potential and sell-side clients showcasing AI competitive advantages.
We examine not just existing AI implementations, but how effectively data is leveraged, models perform, and AI creates defensible competitive moats. Our framework evaluates the complete AI landscape – from technical architecture and model performance to AI governance, ethics compliance, and monetization potential. For buyers, we reveal AI risks and untapped opportunities. For vendors, we quantify AI value drivers and competitive advantages that command premium valuations in today's AI-focused market.
Comprehensive AI assessment, for buy-side and sell-side
Your go-to AI & data Due Diligence partner
Want to learn more? Speak with our AI Due Diligence experts
Christian Brugger
Partner Data & AI
Dr. Mihail Minev
Partner Technology Advisory & Strategy
Max Kneissl
Partner Transaction Advisory & Strategy
Everything you need to know about 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.
