Question 1

Who is this for?

Accepted Answer

Deal partners, operating partners, and portfolio company CEOs who are tired of glossy decks, pilots that stall before production, and vendors that disappear the moment something goes live. It is built for funds that want AI to show up as real operational improvement and EBITDA inside the hold period, not as a line item in a board update. If you want measurable value rather than a science project, this is for you.

Question 2

How fast can we see impact?

Accepted Answer

Roughly 8 weeks from an initial portfolio screen to a live production agent inside a portco, with weekly demos along the way so there are no surprises and no black box. We deliberately target a first use case that is high-value and well-defined, so the impact is visible in the operating numbers quickly. From there the timeline to subsequent builds gets shorter as we reuse what works.

Question 3

How do you measure the value created?

Accepted Answer

We agree the metric that matters before we build, whether that is hours removed, faster cycle times, lower cost to serve, or revenue captured, and we instrument the system so the impact is tracked rather than assumed. That gives operating partners a clear before-and-after to take to the board and, ultimately, to a buyer at exit. We would rather be held to a number than to a narrative.

Question 4

Does this scale across the portfolio?

Accepted Answer

Yes, and that is the core of the model. The first build in one portco proves the pattern and de-risks the approach, then we replicate it across portcos with similar operations, so each rollout is faster and cheaper than the last. The return compounds across the fund rather than staying trapped in a single company, which is exactly where AI creates leverage for a PE strategy.

Question 5

Do the portfolio companies own what you build, and what happens at exit?

Accepted Answer

Yes. The code, documentation, and access sit with the portco from day one, so it is a genuine, transferable asset rather than a dependency on us. That means the value holds through diligence and survives the exit, because a buyer inherits a system the company owns and can run. It also makes the AI a defensible part of the equity story rather than a risk a buyer will discount.

Question 6

How disruptive is this to portfolio company management teams?

Accepted Answer

We are deliberately low-burden on the operating teams. We do the heavy lifting on discovery, building, and integration, asking management for focused input rather than a standing committee, and we work alongside their existing systems instead of demanding a re-platform. Weekly demos keep everyone aligned without turning it into another project that drains the team's time.

AI-driven EBITDA uplift across your portfolio, delivered in weeks.

Most AI pilots never touch EBITDA. Ours do.

Built for the hold period.

Portfolio-wide screen

P&L impact first

Production, not pilots

Watch the pattern roll out.

Portfolio screen

Portco selection

Production build

Portfolio leverage

One playbook, across the portfolio.

AI Agents

AI Workflows

AI Consultancy

AI Development

Questions, answered.

Turn AI into EBITDA inside the hold.