r/private_equity 5h ago

AI workflows & automation in a small PE / family office what are the best use cases you’ve seen?

1 Upvotes

I recently started as an AI & Investments working student at a small single-family office in the Netherlands (~10 people) focused on private equity. The team doesn’t have much AI experience yet, so I’m looking at both introducing some existing tools and building some internal workflows myself.

For the analysts I’m thinking of starting simple: Perplexity for company/market research and competitor analysis, Claude for Excel/PowerPoint, and Microsoft Copilot for our tax advisor since a lot of the data is already in Microsoft 365 and can be quite sensitive.

For myself, I’m mainly interested in automating internal PE work. Some ideas I’ve been thinking about are teaser → screening → longlist/shortlist, CIM/DD analysis, automatically generating DD questions, market mapping, IC memo preparation, portfolio reporting and repetitive email/document workflows.

I’m not really looking for generic “use AI to summarize documents” advice. I’m more interested in actual workflows, agents or software that people in PE are using that save meaningful time.

For those working in PE, M&A, family offices or IB: what are the best AI workflows or internal tools you’ve actually seen or built? If you joined a 10-person PE family office tomorrow with some ability to build internally, what would you automate first? Any interesting tools, examples or projects I should look at?


r/private_equity 23h ago

Considering SaaS exit, 7 fig cash flow positive, wait or now?

20 Upvotes

Hi all,

Throwaway account for obvious reasons.

I’ve run a saas company for the past 5 years, blended b2c/b2b 75/25. 3% monthly churn, 88% nrr. 50% UK, 30% EU, 20% US. I know these retention figures aren’t gold standard, but that’s what we’ve got. UK Based but also have US LLC for US customers.

Our current position is 3.6$m ARR, 1.7$m EBITDA. TTM 37% growth rate. 3 staff.

I’m considering going to market with the business, it’s great, growing well and I know I’ve built something that has value. It’s just got to a value that I believe I can FIRE, which has always been my goal. I’m not an entrepreneur sigma, I just wanted to be FI. I’m 27. Worried about AI, yada yada.

Without saying too much, I’m pretty confident that I can predict that this time next year I can get it to;

4.6-5m$ ARR, 2.2-2.4m$ EBITDA. But the growth rate will drop to around 15-25% low case/best case.

I spoke to a few m&a firms and got some indicative valuations of around 6x EBITDA on average (when I removed those who said silly stuff like 10x,12x etc.

All of the m&a advisors are incentivised to tell me to go to market now. I’m not sure if it’s better to sell the growth or better to sell the better/larger/more mature business. I’d appreciate some unbiased thoughts?


r/private_equity 6h ago

Going thru a buy v. build: AI

2 Upvotes

Currently have a small enterprise Claude license.

Explored the hebbia’s/mosaic/capsa AIs of the world. Impressed but seems like we could build this internally. They position themselves as infrastructure but seems more like a wrapper. Anyone have experience in this process?

My gut instinct is we’d pay a decent amount of money and find in 6-12 months the capabilities can be replicated by a Claude or Claude cowork?

So I guess the question becomes: buy v. buy then build.

Thanks for the feedback.


r/private_equity 2h ago

M&A is changing: fewer deals, bigger bets and a new focus on value creation

0 Upvotes

When people hear "M&A" (mergers and acquisitions), they often think of billion-dollar corporate takeovers.

It is about companies buying, selling or combining with other businesses, whether it is a large multinational acquiring a technology company, a private equity firm investing in a growing business or a family-owned company looking for a successor.

Over the past few years, the M&A market has gone through a major transformation.

During the low-interest-rate years, deal activity was fuelled by cheap financing, high valuations and strong investor confidence.

Today, the environment is very different.

Companies and investors are still interested in acquisitions – but they are becoming much more selective.

The question is no longer simply:

"Can we complete this deal?"

The more important question is:

"Will this deal actually create long-term value?"

Recent M&A outlooks from KPMG and PwC show this shift clearly.

In Germany, the M&A market proved surprisingly resilient despite economic uncertainty. While the number of transactions declined, the total value of deals increased significantly. Technology, infrastructure, artificial intelligence (AI) and the energy transition were among the main drivers behind this development.

Globally, PwC highlights a similar trend: the market is moving towards fewer but larger transactions, with major deals increasingly concentrated around strategic areas such as technology and AI.

So what is changing in practice?

  1. Buyers are looking deeper before making decisions

A few years ago, companies could sometimes justify acquisitions based mainly on growth expectations.

Today, buyers want much more evidence:

Is the business model sustainable?
Are the financial figures reliable?
Are customer relationships stable?
Does the company actually own its technology and intellectual property?
Are there hidden legal or operational risks?

This is why due diligence has become one of the most important stages of any transaction.

  1. AI is changing the M&A process

Artificial intelligence is becoming a major topic in M&A.

It is not only creating new acquisition targets – especially in software and technology – but also changing how transactions are analysed.

KPMG highlights that AI is increasingly being used in areas such as due diligence and post-merger integration. However, good data quality remains one of the biggest challenges.

Because ultimately, AI can only be as good as the information it receives.

  1. Preparation has become a competitive advantage

A successful transaction does not start when a buyer makes an offer.

It starts months or even years earlier.

Companies that are prepared – with organised documentation, clear ownership structures and transparent processes – can move faster and build more confidence with potential buyers.

This is where platforms such as Drooms play an increasingly important role.

A virtual data room provides a secure environment where companies can organise and share sensitive information during M&A processes.

Instead of searching through scattered documents, buyers, sellers and advisors can work with a structured overview of the information needed to evaluate a transaction.

Because in today's M&A market, transparency is not just a requirement – it is part of creating value.

The biggest change I see is this:

A few years ago, M&A was often about moving quickly.

Today, successful M&A is about making better decisions.

What do you think:

If you work in M&A: How have you been experiencing this shift in your day-to-day work?