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Most AI initiatives in private equity portfolios never translate into EBITDA uplift. This article explains why value gets lost, how ROI fog forms, and what operating partners consistently underestimate.

Private equity has poured billions into MSP roll-ups over the last decade. The thesis is familiar: acquire strong regional operators, standardise operations, unlock scale, and expand margins. On paper, it works. In reality, most MSP platforms hit an invisible wall somewhere between acquisition #2 and #4.

Across private equity portfolios, the same conversation repeats itself. An AI pilot shows promise. A proof of concept is funded. Early results look encouraging. Then time passes.

In today’s rapidly evolving business landscape, boards face an unprecedented challenge: how to guide organisations through digital transformation while simultaneously driving sustainable growth.

If there’s one defining corporate illness of the 2020s, it’s 'strategy paralysis'. Boards talk endlessly about “AI readiness” or “digital transformation”, yet half of them still run their core operations through spreadsheets and workarounds that make 1990s IT look elegant.

Every time a business starts a digital transformation project, one question looms large: "is it safe?" From customer data to intellectual property, the stakes are high. And for many organisations, cybersecurity becomes the reason to delay or dilute innovation.

Prototypes and MVPs are brilliant for testing ideas quickly. They prove value, secure buy-in, and highlight opportunities. But too often, businesses hit a wall when it comes to scaling.

Sound familiar? These are the three most common excuses leaders give for delaying digital transformation. They’re also the weakest.

The old approaches don’t work in today’s fast-moving digital economy. By the time you launch, the market has already moved on.