For PE Firms & Portfolio Companies · Diligence to Exit

AI for Private Equity That Moves EBITDA, Not Slides

Your LPs are asking about AI. Your portcos are winging it. This is AI for private equity run like an operator: one playbook, built at the anchor company, rolled across the portfolio — and measured in hours, dollars, and EBITDA.

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The Problem

Every portco is running its own AI experiment. None of them compound.

The thesis said AI value creation. The reality across the portfolio is one company with a champion, three with idle licenses, and the rest waiting for someone to tell them where to start. Each CEO is fielding the same board question alone, and each one is about to buy a different answer.

That is expensive twice. You pay for twenty uncoordinated experiments, and you lose the thing a portfolio is for: leverage. What works at one company should get cheaper and faster at the next. It only does if somebody builds it once, writes it down, and carries it forward.

That is the engagement: one operator, one playbook, rolled across the portfolio. Built at the anchor company, measured in hours and dollars, and reported in language an IC meeting recognizes.

Two Ways In

For the firm. For the portfolio company.

PE buyers do not shop by service name — they shop by where the deal is. Start at either level; the playbook is shared.

For the Firm

Portfolio AI Diagnostic

A comparable readiness read across your companies — who has leverage waiting, who has risk, and where the first dollars come from. Written for operating partners, not engineers.

Executive Sessions Across Portcos

Working sessions with each leadership team on their own P&L and their own workflows. Executives leave with systems running, not a vendor evaluation to schedule.

One Playbook, Rolled Forward

Everything built at the anchor company is documented and reused. The firm owns the playbook; every subsequent rollout starts warmer and lands faster.

For the Portfolio Company

Readiness Assessment

Ten minutes, seven dimensions, and a straight answer on where to start. The free version qualifies the conversation; the paid audit goes function by function.

Executive Session + Team Rollout

Leadership first, then each department on its real work — sales, finance, ops, support. Adoption you can count, not licenses that sit idle.

90-Day Acceleration + Advisory

Baseline, ship weekly, measure at day 30 and day 90. Then an operator stays in your corner as the ongoing rung — decisions and shipped systems, not more meetings.

The Hold Period, Mapped

Diligence to exit, with AI earning its keep at every stage

Stage 1

Diligence

A plain-English read on the target before you wire the money: where AI moves the P&L in year one, what the data reality is, and what the first 100 days should look like.

Stage 2

First 100 Days

The window when change is expected. Executive session, company-wide training on real work, and the first shipped systems — while the mandate is fresh.

Stage 3

Hold Period

Where EBITDA is made. Opex programs with a number attached, agents doing real work in production, and a senior operator on call for the executive team.

Stage 4

Exit

The AI story a buyer will believe: documented systems, measured hours and dollars, and a playbook that transfers with the company instead of leaving with a person.

Portfolio Economics

Built once. Reused across the portfolio.

The playbook compounds

The first rollout does the heavy lifting: the prompts, the workflows, the policy, the training tracks. Company two starts from a working playbook, not a blank page — so per-company cost drops with every rollout.

Less than a third of one hire

An internal Head of AI runs well north of $300K a year per company, before they have shipped anything. One senior operator across the platform costs less than a third of one of those hires — and starts shipping in week one.

Defensible to the board and LPs

Every engagement ends in writing: what was built, what it saves, and what it returns. Numbers that survive an IC meeting — not "AI transformation underway" on a slide.

The evidence lives on this site, not in a deck: a PE-backed vertical SaaS company booked a $25k two-day executive session. A RevOps consulting firm hired us to build a custom AI staffing engine. A founder we coached 5–6x’d her output — case study published, with her name on it.

In their words

Operators who came in skeptical and left fluent

Founders, CEOs, and executives — the same rooms your portfolio companies are sitting in.

Last month I was just asking ChatGPT to write emails. Now I’ve built a client onboarding tool, and my team probably thinks I hired a developer.

VP of Operations

Series B SaaS

3 internal tools shipped

Research that used to take me half a day now takes 20 minutes. Competitor analysis, market research, customer interviews - all transformed.

Strategy Consultant

Management Consulting

10+ hrs/week back

I finally understand what my engineering team is talking about. More importantly, I can spec out AI features without needing them in every conversation.

Product Leader

Fintech

Spec-to-build cut 40%

The prompt engineering framework alone saved me. I was getting mediocre AI outputs for months. Now I get usable first drafts 90% of the time.

Marketing Director

E-commerce Brand

70% less content time
Who your portfolio works with

An operator, not a deck.

Mark Fershteyn - AI course instructor and founder of MasteringAI

Mark Fershteyn

CEO of Recapped.io • Serial Founder • 13+ Years in B2B SaaS

I've spent 13+ years as a CEO and serial founder in B2B SaaS. Raised $8M+. Shipped 10+ products. I know the meetings your portfolio executives are sitting in, the boards they're reporting to, and the efficiency mandates they can't punt on. My consulting work runs at the COO/CFO level of PE-backed companies — the same rooms, the same math.

Every engagement ends in writing: what was built, what it saves, what it returns. If it would not survive an IC meeting, it does not ship.

13+ yrs as CEO
$8M+ raised
10+ products shipped
COO/CFO level engagements

Fit Check

We'd rather tell you no on the first call

Right fit if

  • You are an operating partner whose portfolio companies are each running their own AI experiment — and none of them compound.
  • A portco COO or CFO has an efficiency mandate with a number attached and no plan that survives contact with the P&L.
  • Your companies are field services, vertical SaaS, manufacturing, logistics — real-work businesses, not tech companies.
  • You want AI progress you can compare across companies, not twenty vendors telling twenty stories.
  • The board asked what the AI plan is, and "we bought licenses" is not going to hold.

Wrong fit if

  • You want a 40-page strategy document and no working systems. Large firms do that well; this is the other lane.
  • You are looking for offshore build capacity by the hour. Engagements here are fixed-scope and operator-led.
  • Nobody at the firm or the portco owns the outcome. The playbook compounds only when someone is accountable for it.

AI for Private Equity FAQs

How portfolio engagements run, who buys, and what ships when.

How does an AI engagement work across a portfolio?

We start with one company, not twenty. The anchor portco gets a readiness assessment, an executive working session, and a 90-day rollout — and every prompt, workflow, and decision gets documented into a playbook the firm owns. The second company starts from that playbook instead of from zero, so each rollout gets faster and cheaper than the last. Operating partners get a comparable readiness picture across companies instead of twenty different vendors telling twenty different stories.

Can you support AI diligence on a deal we are evaluating?

Yes. Pre-close, we give you a plain-English read on a target: where AI can actually move the P&L in the first year, what the data and tooling reality is, and what the first 100 days should look like. It is written for an investment committee, not for a technical audience. Post-close, the same document becomes the execution plan instead of shelfware.

Who usually buys this — the firm or the portfolio company?

Both, in sequence. The introduction usually comes from an operating partner or a board member who wants the portfolio moving. The engagement itself is owned by the portfolio company — typically the COO or CFO, because the mandate is almost always efficiency with a number attached. We work with whoever owns that number.

How is this priced?

Scoped on the call, in writing, before any work starts. We price the program, not the head count — and portfolio work compounds in your favor, because the playbook built at the first company carries to the next one. If you want a number your IC can react to, book the scoping call and you will have a written proposal within two business days.

What about data security and tool policy?

Everything runs in your accounts and your portfolio company’s accounts — their AI subscriptions, their data, their access controls. Nothing routes through ours. Every engagement includes a written AI use policy and guardrails, so the rollout is something your counsel and your LPs can live with, not a shadow-IT problem you discover later.

How fast does a portfolio company see something real?

The first working systems ship during the first session — executives leave with tools running on their own work, not a list of ideas. The full arc is 90 days: baseline first, then rollout by function, then measured hours and dollars at day 30 and day 90. If a quarter goes by with nothing shipped, something is wrong. That is the standard we hold.

Our portfolio companies are not tech companies. Does this still work?

That is most of our work. Field services, vertical SaaS serving blue-collar industries, manufacturing, logistics — companies where the work is real and the software budget is not the product. The plays are different from a tech company’s (quoting, scheduling, reporting, back-office), but the operating math is the same: hours back, opex down, visibility up.

We already have a big-firm relationship. Why add this?

A large firm will happily spend two quarters producing a strategy document. This is the other lane: a senior operator who works directly with your executives and ships working systems weekly — for less than a third of what one $300K Head-of-AI hire costs a single portco. Many firms run both. The decks describe the future; this installs it.

One playbook. Every portco.

Thirty minutes. Bring one portfolio company you want moving — you'll leave with a written read on where its first AI dollars are. If we're not the right fit, we'll say so.

Book a Portfolio Scoping Call