The AI Briefing is a recurring AI deep-dive for decision-makers.

Each month, we select one high-signal industry report, circulate it in advance, and meet to cut through the noise.

📜 This month's source: The PE AI Adoption Benchmark: From scaling to systematizing (Accordion with Wakefield Research – May 2026)

Somebody's going to ask what your AI spend returned. If your company has a board or an eventual buyer, that question is already scheduled.

Private equity gets asked first, so that's where this month's data comes from. Accordion surveyed 150 technology and AI operating partners at PE sponsors about the finance functions inside their portfolios. 41% are scaling AI across multiple companies with no operational playbook, and only 29% describe their firm as systematizing or leading.

75% of those companies arrived at acquisition unprepared or only partially ready for any of it.

86% of these operating partners expect buyers to pay a premium for AI-enabled finance capability within two years, and 44% say buyers are already asking in diligence without paying for it yet. Conviction is running ahead of price.

The deployment that worked and left no evidence behind it is the one that costs you at exit. 67% of firms measure hours recovered. 29% put AI impact in front of a board.

🏔️ The Mission: Building the evidence a board or a buyer will accept

  • We'll work the measurement problem directly: which AI metrics connect to EBITDA, and how a company gets there without starting over.

  • We'll examine why only 14% of portfolio finance functions have crossed from back-office automation into real decision intelligence, and what the rest are paying for instead.

📊 The Format:

  • The benchmark, fast: Five findings and the numbers under them, including the ones that don't hold up.

  • Translating it out of PE: Sponsors run this test on a clock, so the pressure shows up there first. We'll take what it exposes and apply it to companies with other kinds of owners.

  • Cross-pollinated debate: Operators compare what agentic finance already does in production (58% report automated covenant monitoring, 44% report AI-drafted board packages) against what their own governance can defend today.

🤝 Who Should Attend:

  • Enterprise Executives: Leave with the measures a buyer or board will scrutinize, and an honest read on which ones you could produce this quarter.

  • Founders & Builders: See what sponsors and portfolio CFOs are buying, and where the 47% assembling AI tools case-by-case stall out before anything compounds.

  • Product, Data, and Operations Leads: Compare notes on the constraint everything else runs into. Poor data infrastructure ranked first among all barriers by a wide margin, ahead of talent, legacy systems, change management, and budget. Most of it arrives at close and gets fixed while the books are closing.

📬 The Prep: This is a working session, not a lecture. Read the report here. Bring your perspective.