Positioning AI capabilities as a driver of exit value
Business services, software & IT
Exit readiness
As the investment period matures, portfolio companies increasingly need to demonstrate the strength of their technology, data and AI capabilities to prospective buyers.
Conducting exit readiness diligence 9–18 months before a sale process allows leadership teams to identify and close gaps, strengthen the investment narrative and prepare clear documentation that supports investor diligence and valuation discussions.
It also allows management teams to anticipate buyer diligence questions and strengthen the investment narrative before the sale process begins.
As our client approached a strategic exit, its investors and management sought to ensure the business could clearly demonstrate the value of its data and AI capabilities to prospective buyers.
The company possessed a unique global dataset and advanced simulation technology, but there was a need to validate the strength of the AI opportunity, identify potential gaps and ensure the business was fully prepared for investor scrutiny.
DataDiligence conducted an AI Vendor Due Diligence (VDD) to assess the company’s data assets, technical architecture and AI readiness.
The process followed a structure similar to traditional buy-side diligence — reviewing data, technology and capabilities, identifying risks and opportunities, and providing recommendations. Because the work was undertaken in advance of the sale process, the business had time to address gaps and strengthen its positioning.
The review examined:
quality and usability of the company’s global energy datasets
technical architecture supporting AI and advanced analytics
internal AI capability and leadership
potential AI-driven product and operational opportunities.
The analysis confirmed that the company's datasets were uniquely valuable and well suited to AI-driven simulation and forecasting. It also identified a number of areas where clearer positioning and governance would strengthen the company’s investment narrative.
DataDiligence provided a set of recommendations designed to ensure the company could confidently demonstrate the value of its AI capabilities and mitigate AI risks during the sale process.
WHAT THIS MEANS FOR THE BUSINESS
Clear understanding of the company’s data assets, AI capabilities and technical readiness.
Stronger positioning of AI as a growth driver within the investment narrative.
Ability to anticipate and answer prospective investor diligence questions.
OUTCOME
The company was subsequently acquired by Blackstone and Vista Equity Partners in a ~US$1.6 billion transaction, with strong buyer interest in the scalability of its AI-driven capabilities.