Assessing data & AI as a driver of investment conviction
Business services / SaaS
Data & AI Due Diligence
A North American investor was assessing a business services SaaS marketplace where data quality, network effects and AI-readiness were central to the investment thesis.
What was at stake?
Management presented a compelling growth narrative supported by proprietary data, strong network effects and future AI opportunities.
Investors needed confidence that these claims could withstand scrutiny and that the underlying foundations were capable of supporting future value creation.
What we uncovered
The assessment revealed both strengths and areas requiring further investment. By testing the quality, structure and scalability of the underlying data assets, investors gained a clearer understanding of the business's true AI readiness and long-term competitive position.
What changed?
DataDiligence evaluated the company's data estate, governance, architecture and AI capability, identifying risks, opportunities and the investment required to realise future value.
The findings informed both investment decision-making and post-acquisition planning.
Why it mattered
Investors were able to distinguish between genuine data-driven competitive advantage and capabilities that would require significant additional investment after acquisition, strengthening investment conviction and reducing execution risk.