ESource Private Equity Services Overview
Private equity has moved past experimenting with AI. Now a harder question is surfacing, where should AI capability actually live? Most conversations jump straight to tools and use cases. But if a firm hasn't decided where the capability lives, every portfolio company solves the same problems alone.
Governance drifts and hard-won lessons are never leveraged.
Two models are at play:
Fund-level capability shared across the entire portfolio.
Or portfolio company-level capability built inside each company.
Each one shapes how value is created and what travels with the portfolio company at exit.
Start with people.
Dedicated AI leadership is costly, and middle-market firms more often than not, struggle to hire it. A shared resource, one seasoned hire, or a small central team can work across several organizations. And early on, business-minded leaders who drive adoption matter more than technical builders.
Then there’s the process.
Back-office operations such as training, accounts payable, reporting, and HR look similar everywhere. So playbooks can be built once and then deployed across the portfolio.
Customer-facing and industry-specific work is different. Enforcing uniformity there creates friction instead of value.
Two key rules are emerging as a result:
Governance and measurement should stay consistent portfolio-wide. Then technology. Standardizing core tools creates buying power and simpler security reviews.
But those key rules can constrain companies with unique requirements.
So most firms are landing on a hybrid approach. Shared foundational tools with room to tailor solutions for domain-specific needs.
There's no universal answer.
It comes down to your portfolio mix, hold period, and operating model. Similar companies with a hands-on value creation strategy at the portfolio level gain the most from platform-level capability.
Diverse holdings often do better with more flexibility at the portfolio company level.
Whatever you choose isn't permanent. But reversing it is costly.
Building only at the fund level, a portfolio company may struggle to stand on its own at exit. Building only inside each portfolio company, and you duplicate effort and miss shared learning.
Deciding your overall strategy deliberately and early sets a foundation that will continue to compound value creation.
Structuring AI capability across your portfolio?
ESource and its subsidiaries can help you weigh the trade-offs and build an approach that fits your investment strategy.
