Sometimes, the biggest AI opportunity isn’t inside a single portfolio company—it’s in reimagining the portfolio itself.

For strategic GPs, AI isn’t just another efficiency lever—it’s a reason to rebuild an entire business model. The next wave of value creation will come from firms that combine traditional industry strengths with AI-native capabilities through acquisitions, talent strategy, and technology integration.

The Smarter Technologies Blueprint

When New Mountain Capital merged three healthcare companies into a single entity—Smarter Technologies—they weren’t just chasing scale. They were building an AI-first platform from the ground up.

The new business embedded:

• Clinical Natural Language Processing (NLP) to extract insights from unstructured medical data
• Robotic Process Automation (RPA) to streamline repetitive administrative workflows
• AI-native product features that turned the company into a tech-enabled healthcare leader

This wasn’t about adding AI as an afterthought—it was about making it core to the company’s DNA from day one.

Why M&A Is Becoming a Key AI Play

Traditional bolt-ons expand reach. AI-native acquisitions expand capability.

For GPs, acquiring a company with strong AI talent, IP, and infrastructure can:

• Jumpstart AI adoption in slower-moving portfolio companies
• Provide shared AI tools and platforms across multiple businesses
• Accelerate the development of new, defensible product lines

It’s the difference between retrofitting an old process with automation—and building a process that’s designed for AI speed and scalability from the start.

Talent Strategy: The Often-Missed Ingredient

An AI-native acquisition only works if the talent stays and thrives post-close. Leading firms are:

• Embedding AI teams into cross-functional operating groups
• Incentivizing retention with equity, autonomy, and innovation mandates
• Pairing AI specialists with industry operators to rapidly develop use cases that matter to customers

This blend of technical depth and domain expertise is where real transformation happens.

Combining Traditional Services with GenAI

The most powerful AI platforms often merge legacy strengths with cutting-edge tech:

• A healthcare services business gains predictive diagnostics capabilities
• A logistics company layers in AI-driven route optimization
• An education provider adds personalized learning recommendations powered by generative AI

The formula is simple: Acquire where AI fills a gap in the customer value chain—and then scale it across the portfolio.

Why This Matters for PE’s Next Chapter

LPs aren’t just asking, “Where’s the AI?”—they want to see AI embedded in the core growth story.

Firms that take an AI-first M&A approach can:

• Unlock premium multiples at exit by selling category-leading tech-enabled platforms
• Create portfolio-wide AI spillover effects
• Build defensible moats through proprietary models, workflows, and datasets

The outperformers of the next decade will be those who build AI-native businesses—not just automate old ones.

Final Thought:
This is where strategy, capital, and technology meet. The GPs who identify the right acquisition targets, retain the right talent, and integrate the right AI capabilities won’t just adapt to the AI era—they’ll define it.

At Kayana, we help PE firms accelerate this shift—providing AI-fluent remote professionals who can bridge operational, technical, and integration needs from day one.

👉 Ready to explore AI-first portfolio building?
Book a free discovery call to learn how Kayana helps GPs turn M&A moves into AI-native growth engines.