Portfolio AI Operations

The argument

Most AI work in private equity portfolios looks like a series of disconnected pilots. One portco buys a vendor; another builds something internal; a third hires a consultant. The operating partner sees nine PowerPoint decks a quarter, none of which compare to each other. The investment thesis was that AI would compress time-to-value across the portfolio. The reality is that uncoordinated effort produces coordinated waste.

The pillar I work in starts from a different premise: AI is a portfolio-level capability, not a portco-level project. The job is to build the operating system that lets a small central team see every initiative across every company, prioritize the ones that matter, push playbooks from winners to laggards, and surface the right reporting cut to the right audience without a slide ever being made.

The demos in this pillar are operator-facing tools, the kind a holding company COO, a PE operating partner, or a portfolio CEO actually opens on a Tuesday morning. They are designed for the people who own the outcomes, not the people who buy the software.

I build the operating system PE firms and portfolio leaders need to run AI as a portfolio strategy, not a series of disconnected pilots.