AI Operating Partner

AI inside your fund.
AI inside your portfolio.
Measured in EBITDA.

Where capital, technology, and execution meet. An embedded AI Operating Partner for upper mid-market private equity — built to ship, not to slide.

20+ years operating experience  ·  Production agentic systems shipped  ·  Multi-tenant infrastructure across regulated markets — fintech, blockchain, nightlife AI
The Problem

Every fund has an AI strategy. Most have nothing to show for it.

Decks get written. Pilots get launched. Six months later, nothing has moved the EBITDA line. Deal teams still pull diligence by hand. Portfolio CEOs nod through quarterly AI updates that produce zero margin. Exits get priced as ordinary businesses because the AI story was never built, only talked about. The gap is not strategy. The gap is operators who can sit inside the fund and ship real systems into real portcos.

The Answer

An operator who ships. Across the fund and the portfolio.

I embed inside your investment team and your portfolio companies as a fractional AI Operating Partner. Six product engagements covering the full deal lifecycle — from AI-led diligence through 100-day plans, agentic systems shipped into portcos, the GP's own internal AI stack, exit narrative work and AI talent build-out. Every engagement is scoped against EBITDA impact or multiple uplift. No retainer that produces decks. No vendor pitches dressed as advisory. Outcomes you can defend in front of LPs.

Six ways to engage.

Pick one. Stack them. Run the full lifecycle.

01
Pre-deal · Diligence

AI-Led Diligence

AI-augmented commercial, tech and ops diligence during deal evaluation. Surface margin upside the seller hasn't priced in. Score AI maturity against the IC thesis. Stress-test the target's data, systems and team before signing.

A defensible value-creation roadmap before the bid goes in.
02
Post-close · 100 days

The 100-Day AI Plan

A concrete 100-day execution plan for the portco's AI agenda. Mapped to EBITDA milestones, not platitudes. Owners assigned, systems chosen, week-by-week checkpoints. Handed to the CEO with a working backlog, not a slide.

Quarter-one AI wins booked against the value-creation plan.
03
Build · Portfolio

Agentic Systems for Portcos

Embed alongside the portco's CTO to ship production agentic systems. Sales agents, ops automation, customer copilots, internal knowledge stacks. Real software in production, owned by the company. Multi-tenant where it has to be.

Working systems in production, margin uplift visible by next QBR.
04
Inside the GP

The GP's Internal AI Stack

Diligence copilots, pipeline scoring, IC memo automation, portfolio monitoring agents. The internal infrastructure that compounds across every deal you do. Built once, used across the platform, owned by the fund.

Deal team capacity multiplied without adding headcount.
05
Pre-exit · Narrative

Exit Narrative & AI Story

Codify the AI thesis into a defensible exit narrative. Production evidence, metrics, IP, and roadmap framed for strategic and PE buyers. The AI line item that gets paid for at the multiple, not discounted away in DD.

Multiple uplift at exit, backed by evidence buyers can verify.
06
Platform · Talent

AI Talent Build-Out

Recruit and place senior AI operators into portco C-suites. Fractional Chief AI Officer, Head of AI, agentic engineering leads. Standards, hiring loops and ramp-up playbooks that the whole portfolio inherits.

Operator capability the portfolio keeps — long after the engagement ends.

Building an AI thesis for your next fund?

Most conversations start with a 30-minute call to walk through your current portfolio, the AI maturity inside each company and where the value creation gaps sit. No deck. No pitch. Either there's a fit or there isn't.

Book a portfolio review →