Private Equity Funded

Every deck has an AI thesis. Few survive contact with the portfolio.

You're working a compressed hold with a value-creation plan that assumes operational improvement you haven't staffed for. The frontline runs on tribal knowledge, the GM you inherited is a single point of failure, and diligence at exit will price every one of those risks. AI is in the thesis. Someone still has to build it inside a real company.

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The plan lives or dies below the leadership team

01

Post-close stabilization

The race to standardize operations before the improvement thesis starts slipping.

02

Key-person risk

Critical judgment concentrated in a few tenured people, any of whom could leave mid-hold.

03

Margin, not headcount

Efficiency targets that can't be hit by hiring, because hiring is the cost you're trying to cut.

04

Exit readiness

Repeatable, documented operations that a buyer's diligence will reward instead of discount.

Operational efficiency that shows up in diligence

We ship systems inside portfolio companies, automating the manual work, encoding the know-how, and making operations repeatable enough to defend at exit.

Efficiency

Manual work automated

The repetitive operations that eat margin get put on rails, so throughput improves without adding people.

De-risk

Key-person knowledge captured

The judgment that lives in a few heads gets encoded into systems, so the business doesn't depend on who stays through the hold.

Repeat

Playbooks across the portfolio

What works at one company becomes a pattern you deploy at the next, instead of rebuilding from scratch each deal.

Buyers discount what they can't verify. Documented, automated operations that run without a single indispensable person are what diligence pays up for. Buyers will price it; we won't pre-price it for you.

One company or the whole portfolio

One value-creation project at one portfolio company is the proving ground: fixed fee, a four-to-twelve-week build, and a shipped system before anyone commits further.

For portfolio-wide work, a fractional AI leader can embed across your companies, their Xerensys development team behind them, with performance-based pricing where it fits the plan.

Put a builder behind the thesis

Tell us the value-creation plan and where execution is thin. We'll tell you what's worth building, at one company or across the portfolio.

Talk value creation →