Ben Carroll

I've spent the better part of my career at the intersection where technology meets business transformation — not as a technologist building systems, but as an executive accountable for making those systems deliver measurable results. That distinction matters more in AI than anywhere else I've worked.

My conviction, shaped by leading large-scale data and AI functions at organizations like CareFirst BlueCross BlueShield and building AI-enabled operating platforms at Soft Solutions Partners, is that most enterprises don't fail at AI because of technology. They fail because they haven't built the operating infrastructure that connects AI strategy to workflow redesign, governance, human oversight, and financial accountability.

That gap — between a working pilot and a governed, scalable, value-producing system — is precisely where I work. Whether I'm conducting AI due diligence on a PE acquisition target, designing an AI operating model for a regulated enterprise, or standing up the governance architecture for a large health plan, the question I'm always answering is the same: how do we turn this AI investment into something the business can actually measure and trust?

I'm based in Philadelphia and available for fractional executive, advisory, and project-based engagements across PE-backed portfolios, regulated enterprises, and boards that need a clear-eyed independent perspective on their AI strategy.