OVERWATCH-01

AI Technical Due Diligence

A confidential technical assessment of a target company's AI capabilities — before you sign.

$13,000report5 days
[ WHO IS THIS FOR ]

PE or VC partner, corporate development officer, or acquiring company CTO conducting technical due diligence on a company with significant AI/ML capabilities.

You need this when:

  • Acquisition target claims strong AI capabilities — need validation
  • Investment thesis depends on technical moat of AI system
  • Portfolio company AI capabilities need assessment before exit
  • Merger integration planning requires AI capability mapping
  • Competitive intelligence needed ahead of strategic investment
[ ROI FRAME ]
RETURN ON INVESTMENT

A single acquisition mistake due to overstated AI capabilities can cost $5M–$50M+ in overpayment or failed integration. At $13,000, this report costs 0.13% of a $10M deal.

WHAT YOU GET
  • 40-60 page confidential due diligence report
  • AI capability assessment (what they actually have vs. what they claim)
  • IP analysis (code originality, model ownership, data lineage)
  • Technical team assessment
  • Risk register (tech debt, key person, compliance, scalability)
  • Valuation input (how AI capabilities affect deal value)
  • Competitive moat analysis
  • Integration complexity assessment
  • Clear recommendation: proceed / proceed with conditions / walk away
  • 60-minute debrief call
  • 30-minute follow-up Q&A (within 5 days of debrief)
WHAT YOU PROVIDE
  • Signed NDA and access agreement
  • Codebase and architecture documentation access
  • Access to 2-3 technical stakeholders for interviews
  • Target company product roadmap
  • AI-related financial data (costs, team, vendor spend)
[ CALENDAR ]

Scheduling happens after purchase. We will reach out within 1 business day to coordinate times.

Stakeholder Interview45 minDay 3-4 (x2-3)
Live Debrief60 minDay 5 (delivery)
Follow-up Q&A30 minWithin 5 days of debrief
[ ALTERNATIVES ]
  • Big-4 technology due diligence ($75K–$300K, much slower)
  • Internal technical review (lacks AI-specific expertise, conflict of interest)
  • Generic tech DD checklist (misses AI risks and valuation factors)
  • Rely on target company materials only (obvious limitation)