A private equity firm was evaluating an acquisition of a healthcare AI company, a target that looked compelling on revenue but carried hidden risks standard due diligence couldn't surface.
Without AI-specific technical diligence, the firm risked overpaying by 15–20% for capabilities that were overstated, vendor-dependent, or concentrated in a single key person whose departure would collapse the product.
AI4ALL Solutions evaluated the target's AI architecture, model dependencies, training data provenance, and team composition alongside a PE firm's standard M&A process, surfacing a single-engineer key-person risk and vendor-dependent capabilities that led to performance-based earnout restructuring.
AI-specific technical diligence identified capability overstatements, enabling deal restructuring that avoided a 15–20% overpayment.
Critical dependency on a single engineer identified before close, allowing buyer to negotiate technical team retention guarantees.
Acquisition reconfigured with earnouts tied to post-close AI capability milestones, protecting buyer from paying for undelivered capabilities.
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