Private Equity

AI-native value creation.

WON works with private equity firms and portfolio companies to identify where value is being left behind, redesign the experiences and operations responsible for it, and build what is required to capture it.

Intelligent experiences. AI operations.

The thesis

We don't start with where AI can be deployed. We start with where value is being left behind.

Every portfolio company has hundreds of places where AI could be applied. Those opportunities are not equally valuable. We start with the investment thesis, the business economics, the customer experience, and the operating model, then determine where new technology materially changes growth, margin, capacity, speed, or scalability.

Two sides of value creation.

01

Experience Intelligence

Better customer economics.

We examine and redesign the experiences responsible for acquisition, conversion, average order value, merchandising, personalization, retention, frequency, loyalty, lifecycle, service, and customer lifetime value.

How can this business create more value from every customer relationship?

Explore Experience Intelligence
02

Operational Intelligence

Better operating economics.

We examine and redesign marketing, customer, merchandising, finance, planning, reporting, knowledge, and decision-making operations, then build the agents, automation, decision systems, applications, integrations, and infrastructure that make the redesigned operation real.

How can this business produce more with better economics?

Explore Operational Intelligence

From thesis to execution

Turn the thesis into operating change.

  1. 01

    Investment thesis

    What needs to become true for this company to create significantly more value?

  2. 02

    Value mechanics

    Which economic levers have the greatest potential impact?

  3. 03

    Operating reality

    What experiences, workflows, systems, decisions, or constraints prevent that value from being captured?

  4. 04

    Redesign

    How should the experience or operation work differently?

  5. 05

    Build

    What has to be designed, integrated, automated, or built?

  6. 06

    Measure

    Did it change the economics?

Find the levers that move the model.

Prioritize by economic impact, not by AI novelty. Depending on the business, we evaluate the levers with the greatest ability to change the model.

Revenue

Conversion, average order value, frequency, retention, lifetime value, pricing, merchandising.

Margin

Cost to serve, labor leverage, marketing efficiency, gross margin, process economics.

Capacity

Output per employee, cycle time, manual work, decision speed, scalability.

Enterprise value

Growth quality, margin expansion, operating leverage, scalability, durability.

One portfolio. Repeatable value creation.

Working across several portfolio companies compounds what a firm knows: where value is commonly lost, which opportunities recur, which technologies actually perform, which vendors are worth deploying, which operating patterns create leverage, and which implementations fail and why.

The objective is not to force every company into the same playbook. It is to make the firm's own value-creation capability smarter with every engagement.

When speed matters.

Pre-close

Identify experience and operational value-creation opportunities before the operating plan is finalized.

First 100 days

Translate the investment thesis into prioritized experience and operational initiatives.

Mid-hold

Find additional growth, margin, and capacity as the original plan matures.

Transformation

Redesign functions where incremental improvement is no longer enough.

Pre-exit

Strengthen growth quality, margin, scalability, and the operating story ahead of exit.

Senior people inside the work.

We embed experienced strategists, operators, designers, architects, and engineers directly with portfolio-company leadership and functional teams. Embedded senior teams, not a staffing pyramid.

Senior by design

Experienced practitioners stay directly involved. The people who diagnose the opportunity remain in the work.

AI-native by default

AI increases the leverage and speed of exceptional people, which is how a small senior team moves this fast.

Built to execute

The team that identifies the opportunity can design, build, and implement the answer.

The best technology for the value-creation plan. Not the technology we need to sell you.

Sometimes the answer is an AI-native vendor. Sometimes an existing enterprise system. Sometimes custom agents or applications, workflow automation, or a combination. We design around the business problem, not around a platform that needs deploying.

Identify the value. Stay to capture it.

We can work at the fund level, inside a single portfolio company, or both.

Fund level
  • Portfolio opportunity mapping
  • Experience and operational intelligence
  • Technology and vendor intelligence
  • Cross-portfolio patterns
  • Value-creation prioritization
Portfolio company
  • Deep diagnostic
  • Experience Intelligence
  • Operational Intelligence
  • Operating-model redesign
  • Design and implementation
Embedded execution
  • Senior practitioners working directly with management teams to turn identified opportunities into measurable results.

Measured in the model.

Engagements are judged against the same metrics the investment is judged against.

  • Revenue growth
  • Conversion
  • Retention
  • Gross margin
  • EBITDA impact
  • Cost to serve
  • Labor capacity
  • Marketing efficiency
  • Cycle time
  • Scalability

Frequently asked

Answers for private equity partners.

Where is value being left in the portfolio?

Let's identify the experience and operational levers with the greatest potential impact.