// AI value creation for private equity

Socratic method for AI adoption

Socraates helps private equity turn AI from individual chats into team delivery. We prove the method first, focussing on reduced costs and faster product development.

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Built for teams moving to Native AI

Socraates works inside portfolio companies after the deal closes, where the AI strategy meets a real engineering team and a real backlog.

Portfolio companies

Own the capability, not just the license

Your engineers co-author the method on real work and keep it after we leave. We measure against your own past delivery, not an outside benchmark.

Funds

A number your LPs can verify

A repeatable, board-grade way to prove AI value creation, one portfolio company at a time.

The Private Equity: AI Gap

67%: of PE investors expect gen AI to have a transformational impact within five years; McKinsey, 2025
6%: of organizations see gen AI delivering enterprise-wide impact today, across all industries; McKinsey State of AI, 2025
1 in 5: portfolio companies has now operationalized AI with concrete results to show for it; Bain & Company, 2025
70%: of PE firms plan to increase operational-AI investment by 25% or more; KPMG, 2025

The bar is measurable EBITDA. Most AI bets in PE never get proven. Everyone wants this to work, but what’s missing is execution that’s measurable, de-risked, and repeatable. That’s the opportunity.

// Ask Socraates AI

What do you want to know?

Answers are grounded in Socraates’ own materials.

Four disciplines that make a "yes" defensible

A · Pre-registered gate

Define the bar first

Capture the status-quo baseline and pre-register the success criteria before a line of code moves. No moving goalposts.

B · Champion & challenger

Run it head-to-head

The AI method runs against the status-quo approach on the same real work, counterbalanced, so the result is a measurement, not an opinion.

C · Measured in EBITDA

Read the scorecard

Outcomes are read against the company’s own baseline. We promote only what beats it, and we say so when it doesn’t.

D · Owned, not rented

Your team keeps it

Your developers build the solution with our coaching. Then we deliberately fade out. The capability stays after we leave.

Hands-on at the start, hands-off by the end

A six-phase engagement: we sit with your team, prove the method on real work, then deliberately fade out. The handover is the proof.

00
Immerse
Shadow the team, learn the product, meet the skeptics. Week one is for understanding and trust, not deliverables.
Week 1
On-site, full-time
01
Scope & Baseline
Pick a real, bounded problem with the PO, capture the status-quo baseline, and pre-register the gate before any code moves.
Weeks 2 to 3
On-site
02
Co-author Run
Your developers build the solution with 99x coaching, running the method on real work; data captured against the baseline.
Weeks 4 to 12
On-site, easing
03
Evaluate
Read the scorecard against the baseline; hold the promote/extend decision openly, with the team as jury.
Weeks 12 to 13
Hybrid
04
Iterate & Widen
Apply the learnings and begin phasing adoption into normal work; the team is now driving.
Weeks 13 to 16
Hybrid
05
Fade-out & Handover
Taper involvement and watch whether the practice and the numbers hold without us. The real adoption gate.
Weeks 16+
Light-touch

Prove it before you adopt it.

Dimension	Status quo	AI-DLC method
Success bar	Set after the fact	Pre-registered
Evidence	Anecdote	Measured vs baseline
Ownership	Rented from a vendor	Built & kept in-house
Risk	Bet, then hope	De-risked at the gate

People defend what they help build.

Operating principle

Proven on ourselves

Built with the method it sells

This website was scoped, built, and shipped using the same AI-DLC method we run in your portfolio: pre-registered gates, a measured baseline, and a deliberate handover. We eat our own cooking.

Delivered with our partner 99x

Prove it on your own team

Start with a fixed-fee diagnostic: a measured read before you commit.

Book a diagnostic →