PromptPartner

Private equity

AI for private equity: we implement it in your portfolio companies.

PromptPartner deploys AI across your portfolio, one company at a time. We are not only consultants: we find the use cases that pay off, in cost and in revenue, then we build them and put them live.

For portfolio companies in Europe, in any industry, from about €50 million to €500 million in revenue or ARR. It starts with the AI audit: four weeks, fixed price, from €15,000.

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  1. 1

    The AI audit

    four weeks, fixed price

  2. 2

    The first agent

    Claude Enterprise or ChatGPT Enterprise, for every employee

  3. 3

    Use cases go live

    department by department, go-to-market first

  4. 4

    AI-native company

    the goal: every team works with AI, every day

01The problem

Why is AI in the board report, but not in the P&L?

In many portfolio companies, AI is a licence cost and a slide. When the board asks what changed, no line of the P&L has an answer.

Licences, and nothing changed

Every employee has a chat window. Quotes, forecasts and reports are still made by hand.

A strategy with no number

The AI strategy lists tools and principles. It does not say which number should change.

A first use case that is too small

The first project helps people write emails faster. Chat saves minutes, and minutes do not show in the results.

02The test

How does a fund tell an AI result from an AI pilot?

A fund can tell an AI result from an AI pilot by three things on the table: a euro figure for the use case, the maths behind it, and a working prototype on the company’s real systems. Without them, a board is asked to believe, not to decide.

Most pilots cannot show them. The chat window is not connected to the systems where the work is done, so the manual work stays where it was.

The value is in the daily work of each portfolio company: the hours that go into quotes, follow-up, reports and service.

Meanwhile the holding period runs, and the licences stay a cost.

  1. 1

    A euro figure

  2. 2

    The maths, visible

  3. 3

    A working prototype

The AI audit puts all three on the table in four weeks.

03What we do differently

What does PromptPartner do differently?

PromptPartner implements. Most AI projects deliver slides. Ours deliver use cases that go live. Who does the work: a forward-deployed engineer and a business operator, working inside your team.

AI in the product

Product teams usually build AI into the product themselves. That work stays with them.

AI in the company

What most companies lack is a plan for AI across the whole company: every department, the daily work. That is our part.

The goal is an AI-native company: the whole company works with AI every day, in its real systems. Not one team in one pilot.

04What we do

What does PromptPartner do in a portfolio company?

In a portfolio company, PromptPartner starts with the AI audit: four weeks, fixed price, from €15,000. The company may stop after it. Then comes the standard programme, or a custom AI project.

First

The AI audit

A euro figure on every use case, with the maths visible, and a working prototype on the company’s real systems.

How the audit works

When can the audit run? Before a deal closes, as a first view of where AI can create value in the target company. Right after closing. Or at any point in the holding period. It needs access to people and systems.

Then: the standard programme

  1. 01

    The first agent, for every employee

    We roll out Claude Enterprise or ChatGPT Enterprise on a governed foundation. It is the first agent every employee works with, and learns on.

  2. 02

    Use cases that go live, department by department

    We usually start in go-to-market: sales, marketing and customer success. That is a start, not a limit: the next department follows, on the same rules.

  3. 03

    Training next to the build

    While we build, we train your people in weekly office hours.

Or a custom AI project: one or a few use cases, scoped from the audit.

See what the agents do

05Value, four ways

Where does AI value creation come from in a portfolio company?

AI value creation in a portfolio company starts with cost reduction, because cost is what a fund looks at first. But the audit puts a euro figure on four kinds of value, not one. It also scores each use case on revenue lift and customer experience.

01

Save

Hours saved times what those hours cost, plus spend you avoid.

02

Earn

More revenue: faster follow-up, more pipeline, new accounts found.

03

Brand

Every customer gets the same quality, in your voice.

04

Data

Cleaner, structured data that every later use case builds on.

Our reasoning, not a promise: a company that becomes AI-native early is a first mover, with a lead over competitors that still run pilots.

06Across the portfolio

How does a fund build an AI value creation playbook across its portfolio?

With one method, repeated. PromptPartner has one audit method, and the same euro-figure format for every portfolio company. Start with one. The playbook is that method, filled with each company’s own figures.

  1. AUDIT
  2. SECURE
  3. LAUNCH
  4. SCALE
  5. OWN

  1. Company 1Start with one

  2. Company 2

  3. Company 3

  4. Company 4

Illustrative. Every company moves at its own pace.

We promise the method, never portfolio results. Every company’s scores and figures come from its own audit. They are not a benchmark between companies.

AI for software and SaaS companies

07The reference case

PromptPartner’s reference case: a European software company above €100 million ARR.

The audit ran end to end, with eleven discovery sessions and thirty-six opportunities scored. That audit took six weeks; today it runs in four. The programme is now fully implemented, and it creates value from a conservative floor of €2.07M a year to about €3.0M all-in.

11

discovery sessions

36

opportunities scored

€2.07M–€3.0M

value created a year, floor to all-in

We have implemented and enabled AI programmes in more than ten companies in the last twelve months. The most recent is a European software company above €100 million ARR, where the full audit ran end to end. Every number we quote comes from that engagement.

See all case studies AI consulting: what we do

08Questions

Questions about AI in private equity.

Which firms help private equity with AI strategy and implementation in portfolio companies?

PromptPartner is one. Our work fits portfolio companies in Europe, in any industry, from about €50 million to €500 million in revenue or ARR. Many of the companies we work with are in software and SaaS. We start with a four-week AI audit of one company, at a fixed price, from €15,000, and then we implement. When you compare firms, ask each for a euro figure with the maths visible and a working prototype before any larger contract.

Can the AI audit be part of AI due diligence?

Yes. Before a deal closes, the audit gives a first view of where AI can create value in the target company. It needs access to the company’s people and systems. It does not replace financial, legal or technical due diligence.

What does the AI audit of a portfolio company cost?

A fixed price, from €15,000, set by the size of the company. It is never billed by the hour.

Can the portfolio company stop after the audit?

Yes. The audit is its own signature and its own invoice. If the readout doesn’t convince you, that’s where it ends, and you owe nothing further. The programme is a separate decision you make with the numbers in your hand.

09To start

Four weeks from now, you’ll know exactly where AI pays off in your company.

Book a 30-minute call

No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.