AI-Driven Investment Memo Acceleration for a PE Secondary Transaction
Case Studies
Private Equity

AI-Driven Investment Memo Acceleration for a PE Secondary Transaction

AI accelerated a PE fund’s secondary investment memo from weeks to 24 hours, automating market intelligence, competitive analysis, and IM drafting to deliver a sharper, defensible thesis while saving 50–70 analyst hours.

November 10, 2025

How our AI-powered research & IM automation enabled a PE fund to complete a data-dense investment memo in days

Challenge

A private equity fund preparing a secondary transaction needed to rapidly build a comprehensive investment memo for a high-growth, private-pay home-care platform. But the team faced critical hurdles

  • Fragmented industry data across 30,000+ agencies made market sizing and competitive mapping slow and manual.
  • Lack of structured operational datasets (caregiver supply, retention, matching engine, LTCI reimbursement dynamics).
  • Heavy primary-research lift required to validate unit economics, hub-and-spoke expansion model, and LTV:CAC flywheel.
  • Traditional IM creation involved 60–80 hours of analyst time across slides, synthesis, and narrative drafting.

Solution

Using our AI SaaS platform, the deal team produced a full investment memo 10× faster, with greater analytical depth and defensible insight.

  • Structured the $35B+ private-pay market, growth drivers, demographic tailwinds, and fragmentation using automated multi-source synthesis.
  • Auto-generated competitive landscape, top-down + bottom-up TAM sizing, and regional penetration mapping.
  • Produced a complete investment thesis, business model articulation, and financial performance narrative.
  • Auto-drafted slides with structured arguments, citations, and PE-grade phrasing

What we Delivered

  • Market Intelligence Pack
  • Operational Deep-Dive
  • Financial Synthesis
  • Full Investment Memo

Key Results

24-Hour Turnaround

A process that typically takes 4–5 weeks was compressed into one working day, enabling the PE team to move to IC ahead of schedule.

Sharper Investment Thesis

AI-driven triangulation produced a more defensible thesis around market fragmentation, platform differentiation, and unit-economic repeatability.

50–70 Analyst Hours Saved

Automated market analysis, competitor mapping, and narrative creation replaced the bulk of manual desk research.

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