Coming soon. This service page is under construction. The expanded version with engagement scope, pricing structure, and anonymized case examples is in active preparation. Early conversations are welcome in the interim. The discovery call is the right entry point and the engagement can be scoped against the specific deal or thesis your fund is currently working on.
The investing audience for AI is bifurcating. On one side are funds that have been pricing AI-native targets at multiples written off the demo rather than the unit economics, and finding the integration math harder than the diligence suggested. On the other side are funds whose value-creation theses depend on AI execution that the operating company cannot independently deliver, and increasingly cannot independently evaluate. The engagements Virtova has been asked to scope from both sides over the last twelve months share a common shape: investors need a senior, calibrated, regulator-aware read on what the AI claim actually means at the engagement level, not at the marketing level.
What this engagement will cover
The expanded version of this service page will detail the engagement under five threads:
- Investment-thesis underwriting. Senior advisory at the IC table on the AI assumptions inside a deal model: what is plausible, what is bid-protective, and what is being mispriced.
- AI-native target evaluation. Diligence calibrated to the realities of AI-native companies: model dependency, data moat durability, generative-tooling cost-curve exposure, the gap between the engineering team’s claims and what the production system actually does.
- Value-creation thesis on traditional platforms. Operator-grade reads on whether the AI value-creation theme in a portfolio company can be executed on the platform’s actual technology, regulatory exposure, and engineering organization.
- Post-close AI execution oversight. Senior accountability against the AI execution thread of the value-creation plan, integrated with PE technology due diligence and fractional Chief AI Officer coverage where the portco needs continuous executive support.
- Exit positioning. AI-readiness work twelve to twenty-four months before sale, calibrated to what the next acquirer will land on.
Who this will be for
Mid-market and upper-middle-market private-equity sponsors and operating partners; family offices and strategic investors with material AI exposure; and the portfolio companies themselves where the sponsor has identified the AI thread as central to the investment thesis. Sectors of consistent strength match Virtova’s broader practice: U.S. financial services, healthcare and life sciences, federal contractors and adjacent industrial technology, AI-native companies, and platforms with material regulatory exposure.
Next step
Most early conversations start with a 30-minute discovery call. Bring a current deal, a portfolio-company AI question, or a sector thesis the fund is working on. We will tell you what scope fits and when the expanded version of this engagement framework is available for the specific work.