Tiger Tail makes the companies you are buying, holding, or selling more AI-native, so they run leaner and exit stronger. We embed inside portfolio companies, find the operational drag, and build the AI systems that lift margin and free up the team. Done-for-you, owned by the company, live in weeks rather than quarters.
Talk to us about your portfolio →Of private equity value creation now comes from operational improvement, not multiple expansion or leverage. The returns are made inside the business.
BainOf the work inside a typical portfolio company is manual operations a system should handle. That drag sits directly on margin.
Is where value-creation plans are won or lost. The automations that ship in the first quarter compound for the entire hold.
We work with PE firms and their operating partners across the deal lifecycle. Whether you are diligencing a target, running a 100-day plan, or preparing an asset for exit, we make the business measurably more efficient with AI and leave systems the company actually owns.
Before you close, we assess how AI-ready a target is and where automation can add EBITDA after the deal. You get a clear, quantified view of the operational upside and the cost to capture it, so it is priced into your thesis rather than discovered later.
In the first 100 days, we turn the thesis into working systems. We prioritize the automations that move margin fastest, build them, and stand up the operating cadence so the gains compound through the hold.
Across the hold, we make portfolio companies run leaner. AI handles the manual operations, finance, sales, and back-office work that quietly caps margin, so the team scales output without scaling headcount.
Before a sale, we make the asset more attractive and easier to diligence. AI-native operations, clean data, and documented systems raise the quality of earnings and support a stronger multiple and a smoother process.
We dig into how your business actually runs and where time and money leak out.
We get inside your workflows, tools, and data to understand the real constraints.
We turn what we found into a prioritized plan and an AI readiness scorecard.
You get a clear roadmap, and we start building, with your first system live before week five.
We brought Tiger Tail in during the first 100 days to capture the operational upside our thesis assumed was there. They built the automations in finance and customer operations we had planned to hire for, and the margin showed up in the numbers by the next board meeting. When it is time to sell, this is now part of the story.
Both. We are engaged by the firm or the operating team and we embed with the portfolio company to do the actual build. The firm gets visibility and a repeatable playbook. The company gets working systems it owns.
We start with the highest-margin automations so the impact shows up early, then build through the hold. By exit, the company runs on documented, AI-native systems that strengthen the equity story and hold up under buyer diligence.
Yes. Operational due diligence is scoped to your deal clock. You get a quantified view of the AI and automation upside, and the cost to capture it, before you close.
No. Everything we build is owned by the portfolio company, documented, and handed to the internal team. We are there to build capability, not to become a permanent line item.
Diligence and value-creation planning are scoped to the deal and the plan. Implementation is priced against the upside we have quantified together. We bill month-to-month with hold-period terms. The intro call is free.
Book a call. We will show you where AI can lift margin across a target or a portfolio company, what it costs to capture, and how it strengthens the exit.
Talk to us about your portfolio →