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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.

At Panamorphix Consulting, we’ve built bespoke AI for sales teams across SaaS, healthtech, fintech, and manufacturing—without burning seven-figure holes in their budgets. How? By using our IP model, a simple but powerful way to share the cost of innovation.

If you’ve ever sat in a meeting where someone said, "We need better tools,” you might have felt that familiar mix of hope and fatigue.

Technology doesn’t kill transformation. People do. Not because they’re lazy. Not because they’re anti-innovation. But because culture is the ultimate firewall.

Hero employees keep SMEs running — but they also create hidden risk. Learn how AI systems reduce single-point dependency and build more resilient operations.

Manual work drains SME time, energy and growth. Discover how AI systems remove operational drag and unlock faster, more sustainable scaling.

For more than a decade, the cloud has been the default setting for digital ambition. It promised infinite scale, instant access, and freedom from infrastructure. The message was simple: if you’re not in the cloud, you’re behind.