AI in Tech M&A

AI in Tech M&A

From AI Strategy to Execution

Daily life enhanced by generative artificial intelligence

AI in Tech M&A

AI in Tech M&A

AI in Tech M&A

AI in Tech M&A

Artificial Intelligence (AI) has become critical not only to innovate and drive top-line revenue, but also to drive operational efficiency. As part of the M&A process, AI due diligence has become a key focus.

We use our expertise to distinguish genuine AI from pseudo-AI, while ensuring business strategy alignment. Our approach focuses on both risk identification and opportunity assessment. We examine the market to identify innovative use cases and use AI to optimise business processes.

Our assessment covers all key aspects, providing a comprehensive technical and functional evaluation of performance, impact, security, ethics, cost and user experience. Our technology expertise enables us to provide a technical and functional assessment of AI to ensure the success of your M&A transactions.

Our Support

We address Artificial Intelligence due diligence issues by combining our technology expertise with our Data/IA know-how. Our approach involves a comprehensive, quantified analysis of the AI projects to be implemented, based on our solid financial experience and in-depth understanding of the economic and strategic issues at stake.

AI Due Diligence

We conduct an independent and comprehensive assessment of the target’s artificial intelligence assets to identify risks and opportunities and ensure an accurate and fair valuation. This assessment covers both technological aspects, such as language models (LLM), and functional aspects, including UX and the quality of the results generated. We also integrate criteria for security, regulatory compliance and ESG (environmental, social, and governance) criteria to provide a thorough and responsible assessment.

Strategic and technological evaluation & Value Creation Opportunities

We assess the value of AI from a strategic and technological perspective, analysing accuracy, prediction speed and technical flexibility. We compare the effectiveness of language models (LLMs) against benchmarks to ensure high performance. We examine product strategy, organisation, implementation and operational costs, optimising investments to ensure a satisfactory ROI for AI projects.

Compliance appraisal to support “trusted AI”.

To ensure the sustainability, compliance and security of AI systems, we prioritise energy efficiency, data protection and user transparency. In line with Green IT principles, we assess the efficiency of AI products and ensure their compliance with regulations such as the EU AI Act. We assess data protection mechanisms to ensure confidentiality, and evaluate how clear, understandable and transparent AI results are to ensure effective user adoption and increased trust.

Our team

Frédéric Blache

Partner

Strategy & Operations

Jean-Christophe Fuzzati

Partner

Technology Transformation

Guillaume Tellier

Partner

Strategy & Operations

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