AI Solutions·For Private Equity

The value creation lever your portfolio isn't using

Every €150K invested in AI generates up to €2.4M in valuation uplift at exit. This isn't theory — it's the model we apply with mid-market funds across Europe.

Common challenges for private equity funds

Expertise gap

GPs lack AI expertise. They delegate to generic consultants who sell slides, not implementations. The result: proofs of concept that never reach production.

Execution gap

Portfolio companies lack internal AI resources. Big 4 firms deliver expensive assessments but no operational output. You need partners who implement, not recommend.

Timing gap

The first 12-18 months post-deal are critical for value creation, but rarely leveraged for AI. Waiting means missing the highest-impact window for EBITDA improvement.

Our 4-phase approach

A structured path from due diligence to a replicable playbook across your entire portfolio. For funds that want to move fast, we offer an interim AI Transformation Officer who drives the entire process from inside.

AI Due Diligence (pre-deal)

AI readiness assessment of the target company. We identify quick wins, estimate saving potential and map risks. The deliverable feeds directly into your valuation model.

100-Day Plan (post-deal)

2-3 concrete implementations with measurable ROI in the first 100 days. Not slides — tools in production. Customer service, document analysis, financial modelling: we start where impact is immediate.

Full AI Transformation (6-12 months)

5-8 use cases integrated into portfolio company processes. Team training, AI governance, continuous ROI measurement. The goal: AI becomes part of how the company works, not a standalone project.

Portfolio Playbook

The model validated on one company becomes replicable across your entire portfolio. Framework, templates, metrics and best practices — ready for rollout. Each new implementation is faster than the last.

Calculate your portfolio's AI potential

Adjust the sliders to simulate the impact of an AI investment on your portfolio companies

Estimated AI investment

€150K

Expected annual operational saving

€300K

Sector EBITDA multiple

8×

ROI on investment

16×

Valuation uplift at exit

€2.4M

Payback period

6 months

Want to calculate your portfolio's potential? Let's talk →

* Indicative estimates. Actual ROI depends on company profile, implementation scope and negotiated exit multiple.

Calculate Claude's cost for your portfolio companies

Real-time Teams vs Enterprise estimate based on your user profile

Open calculator →

Interim AI Transformation Officer

Not every fund has the internal bandwidth to drive an AI program across portfolio companies. That's why we offer an interim AI Transformation Officer: a senior member of our team who operates inside your fund or portfolio company for as long as needed.

Learn more about the role →Let's talk

01Defines the AI strategy across the portfolio

02Coordinates implementations at each portfolio company

03Reports directly to GPs with impact metrics

04Builds internal capabilities to make themselves redundant

05Manages vendors, licensing and AI governance

06Replicates the validated playbook on new acquisitions

Frequently asked questions about AI for Private Equity

Answers to the most common questions about using artificial intelligence in private equity funds.

Claude can analyze entire data rooms in a fraction of the traditional time, thanks to its 200K token context window. It extracts key information from contracts, financial statements and legal documents, identifies risks and anomalies, and produces structured reports. It doesn't replace the due diligence team, but makes it significantly faster and more accurate.

Yes, through automating repetitive processes, optimizing reporting and identifying operational inefficiencies. Funds working with us see concrete impacts on portfolio company margins, thanks to targeted AI solutions for procurement, customer service, back-office and data analysis.

Data security is the absolute priority. Anthropic does not use customer data for model training. With Claude Enterprise, data is encrypted, sessions are isolated and retention policies are customizable. We design architectures that meet the most stringent confidentiality requirements in the PE sector.

Our approach delivers quick wins in 2-4 weeks, with the first operational use cases. Full integration with the fund's systems typically takes 2-3 months. We always start with an assessment to identify the highest-impact areas and build an incremental plan.

Absolutely. Claude can assist with building DCF models, sensitivity analysis, scenario planning and portfolio monitoring. Thanks to its extended context window, it can analyze multi-year financial statements and complex models simultaneously. Learn more in our dedicated article on financial modelling with Claude in PE.