PE Use Cases

Claude Code does more than edit documents. It lets someone with no coding background build a working tool: an interactive page, a tracker, a dashboard, a clean dataset. This section is a library of what is possible to create with Claude Code for private equity value creation.

The library is the AI Value Creation Matrix below. Each of its 19 use cases sits where it earns its keep: down the side, the value lever it pulls; across the top, the phase of the hold. Open it and select any use case to see the role AI plays, a real-world anchor, and what it takes to deliver.

claude · ai-value-creation-matrix

All tiers Mid-Market Large-Cap 19 use cases

100-DayMid-HoldExit PrepContinuous Operational Efficiency Balance Sheet Strength Revenue Growth Margin Expansion Inorganic

Open the matrix →

Interactive · Every use case by value lever and hold phase. Select one for its detail.

What the library covers

The five levers are the ones a private equity fund pulls during a hold: operational efficiency, balance sheet strength, revenue growth, margin expansion, and inorganic growth. Every use case carries the same fields: the hold phase it fits, the fund tier it suits, the role AI plays, a real-world anchor, complexity, time to value, and the advisory service line that would deliver it. Filter by fund tier or service line and the matrix narrows to what matters for the company in front of you. One use case is marked Built: the PortCo Pulse Dashboard shows it built out end to end.

How to build one

Every use case in the library starts the same way.

1. Put the material in one folder

   The exports, reports, or documents the use case starts from. Start Claude Code in that folder so it can see all of it.

2. Agree the structure before anything is built

   Ask Claude Code to propose the columns or fields first. A shared structure is what makes the result comparable and filterable rather than a long list.

   The payables extracts in this folder come from four portfolio companies. Before building anything, propose a consistent structure for matching vendors across them: the fields, how you would match vendor names that are spelled differently, and what you would flag for me to check. Do not build the analysis yet.

   Show full prompt

3. Build it, then check it against the source

   Ask Claude Code to build it, and to leave blanks and flag them rather than guess. Read the result against your source material before anyone else sees it.

What else you can build

The same approach works on other material. A few kinds of tool that fit private equity work:

• Filterable reference tools. A matrix of precedents, value-creation levers, or diligence findings that a colleague can filter by sector, phase, or service line instead of scrolling a spreadsheet.
• Portfolio dashboards. One view of KPIs across portfolio companies, with plan-versus-actual variance and flags on what is off track. See PortCo Pulse Dashboard.
• Clean data from messy inputs. Tidying a data pack into a consistent shape, or running a quick sanity check on a model.
• Consistent summaries at scale. A folder of memos turned into one clean summary, or a set of documents brought to the same standard.
• Small working tools. A diligence request tracker or an expert-call log: something with a screen and a few buttons, shaped around how your team works. See Starting Something Bigger.

What these share: the inputs are material you already have, the output has a consistent structure, and a person checks it before anyone relies on it. Anything meant for people beyond your own team goes through Going Live.

Where to go next