AI Due Diligence
AI Due Diligence for M&A
FrontierScale AI supports corporate acquirers and strategic buyers with investor-grade AI diligence — from pre-sign hypothesis testing to post-close integration.
What we assess
Beyond the pitch deck
Acquirers need to separate AI capability from AI narrative. We assess whether the target's AI drives real product differentiation, whether it is architecturally and commercially defensible, and what governance and regulatory exposure comes with it.
- Validating AI claims
- Assessing AI product maturity
- Reviewing model and data dependencies
- Identifying integration risks
- Evaluating governance and defensibility
- Reviewing AI safety and operational resilience
- Estimating value creation potential
- Post-acquisition integration roadmap
Phases
From pre-sign hypothesis to post-close integration
Phase 01
Pre-sign diligence
Rapid, hypothesis-driven review of AI claims, product maturity, data and vendor dependencies, governance and commercial exposure to inform bid strategy.
Phase 02
Confirmatory diligence
Deeper technical and governance assessment on architecture, model performance, data rights, AI safety and integration complexity.
Phase 03
Post-close integration
Integration blueprint covering governance, model risk, AI safety, data and operating model to make the target defensible from day one.
Phase 04
AI value creation planning
Identify practical growth and efficiency opportunities enabled by AI, sequenced into a 100-day plan and 12-month roadmap.
Investor-grade AI diligence on your timetable
Sprint-based engagements for pre-sign, confirmatory and post-close phases.