Longer holds are forcing sponsors to look beyond cost cuts, pricing and multiple arbitrage. Done right, brand and AI can turn a collection of add-ons into a shareholder value creation engine.
Private equity has an exit problem. And it has created a time problem.
McKinsey puts some numbers around the problem. The average buyout-backed company sold in 2025 had been held for 6.6 years, up from 6.1 years during the 2011 to 2020 period. More than 16,000 PE-backed companies, about 52% of the total, had already been held for four years or longer, the highest percentage on record.
And LPs are still waiting for cash. Distributions equaled only about 6% of private equity assets under management in the 12 months ended June 2025, compared with an average of 16% from 2015 through 2019.
The exit market has improved, but not enough to clear that backlog. The old playbook – buy, professionalize and sell in three to five years – has given way to: buy, hold and keep compounding value while waiting for an acceptable exit. The longer a sponsor holds a company, the more value it has to create to protect the return.
Sponsors still have the familiar levers: trim costs, invest in capacity, launch products, raise prices, do add-ons, and create multiple arbitrage by buying EBITDA cheap and revaluing it inside a larger platform. But those levers are well understood, and often already baked into the original thesis. Once the obvious cost cuts, upgrades and pricing moves are done, the next leg of value creation increasingly has to come from the commercial side, finding more customers, winning more from existing ones, and giving sales a better way to compete.
That points to a less traditional lever: operationalizing brand strategy through AI as a single commercial system. Neither is new on its own – treating them together is.
The Brand Problem
Many PE-backed platforms, especially roll-ups, have a brand architecture shaped by deal history rather than strategy. Each acquired company keeps its own name, sales team, materials and go-to-market approach. The businesses may be financially consolidated, but commercially they still operate as a loose affiliation, leaving real value on the table.
A common brand framework reinforced by AI can begin creating commercial integration even before the businesses are fully integrated operationally.
As competitors catch up on products and services, differentiation increasingly comes from positioning, selling and customer service, not a new logo. Without real brand work, sales teams keep using legacy materials, operating entities go to market differently, and customers stay unclear on what the broader platform actually offers.
The AI Problem
AI adoption inside portfolio companies is already happening, just unevenly. Employees use ChatGPT, Copilot and other tools for prospecting, research, proposals and more – with no shared voice, little governance, and no way to know if any of it moves commercial performance.
For a single company that’s a missed opportunity; for a multi-company platform, every operating unit, and potentially every salesperson, can end up inventing its own version of the brand at machine speed.
Put Together
Brand gives AI a point of view and guardrails: who the company is, how it’s differentiated, which customers it wants, and how to communicate that. AI gives brand scale, pushing that positioning into daily sales work: prospecting, account research, competitive intelligence, proposals, coaching and RFPs.
This matters most while a platform is still a loose affiliation of add-ons. A shared brand framework reinforced by AI can create commercial integration before the businesses are even operationally integrated, one unit spotting opportunities to sell another’s products, salespeople seeing the full platform offering, and shared customer intelligence. In short, brand-led AI can help a sponsor actually own a platform commercially, not just financially.
Brand and AI aren’t a replacement for the traditional value-creation levers, but they’re an important addition.
mgREV, built by MonogramGroup and Parallax Partners, operationalizes that approach. It’s a governed layer that sits above whatever AI platform a portfolio company already uses, working alongside existing CRM and ERP systems.
And it starts with brand, not technology.
Positioning, messaging, assets and brand guidelines come first; that playbook then drives AI sales tools like persona-based prospecting, ICP intelligence, competitive battlecards, an AI sales coach and RFP automation. The goal: give salespeople the benefits of AI without letting every business invent its own message.
Governance matters even more for multi-company platforms. mgREV can apply shared brand content, policies and controls across the platform while letting individual businesses keep their own products, pricing and even identities where that makes sense. And new add-ons can be onboarded through configuration rather than starting from scratch.
Sponsors already understand the financial side of add-on integration: buy cheap, combine EBITDA, get it revalued at the platform multiple. But there’s a second step. If those companies start selling together, sharing customers and operating from a common playbook, the sponsor has built something different from a collection of acquisitions — an integrated growth platform, which can command a stronger exit multiple than five or ten businesses that simply share an owner.
Combining brand discipline with AI can turn a collection of acquired businesses into a platform that sells more, cross-sells better, and earns a higher multiple at exit.
Brand and AI aren’t a replacement for the traditional value-creation levers, but they’re an important addition. Done well, they help a portfolio company sell faster and more effectively, find revenue across businesses it already owns, integrate future acquisitions faster, and behave like a real platform. This creates genuine value from what the sponsor already has, rather than waiting on the next deal, plant investment or price increase.
mgREV gives management teams a way to act on that, gives sponsors a more defensible answer on AI governance, and eventually gives the next buyer evidence that the growth came from a commercial system built to outlast the transaction.
Longer holds are forcing PE firms to find more sources of value creation. Combining brand discipline with AI is a new entry in that playbook, one that can turn a collection of acquired businesses into a platform that sells more, cross-sells better, and earns a higher multiple at exit.
About the Author
Scott Markman is the Founder and President of the Monogram Group, a Chicago-based brand consulting and creative agency. He has worked in private equity since 1996, when he created the Antares Capital brand, and has since worked with more than 225 private equity firms and their portfolio companies across industrial & distribution, professional services, healthcare and technology, as well as credit providers, family offices and industry consultants. MonogramGroup is a portfolio company of Olive Tree GP.
This article was originally published on Private Equity Professional. Read the original here.