Avanpost · Portfolio value creation

Build the AI‑native business beside the one you own.

Avanpost is how we help owners of pre‑AI companies become AI‑native: a separate unit with a new leader, built on an AI stack, that challenges the core business and over time replaces it.

Discuss a portfolio company

Why retrofitting AI rarely works

Most companies in private equity portfolios were built before AI. Bolting AI onto them leaves the old model intact.

  • Processes protect themselves

    Workflows, systems and KPIs were designed for a pre‑AI cost base. Adding AI on top of them keeps the old model in place.

  • Incentives point the other way

    Teams are rewarded for running today’s business well, not for making it obsolete.

  • The P&L can’t absorb the dip

    A transformation inside the core competes with this quarter’s numbers, and usually loses.

A challenger inside your own walls

Instead of changing the old organisation from within, Avanpost builds the new one next to it and lets it compete for the business.

DimensionRetrofitAvanpost
LeadershipExisting management, alongside the day jobA new leader with a dedicated mandate
ProcessesAI added to existing workflowsDesigned AI‑native from day one
P&LShared with the core businessIts own P&L and targets
Success measureEfficiency gains in the coreRevenue moved to the new unit
End stateAn improved version of the old modelA new operating model

How it works

Four phases. Durations are indicative and depend on the business.

  1. 01

    Diagnose

    Typically 3–4 weeks

    Map where AI changes the economics of the business: which processes, customers and revenue lines can move first, and what the new unit needs to win them.

    Output Avanpost thesis and business case

  2. 02

    Set up the unit

    Typically 1–2 months

    Appoint the leader, define the mandate, governance and P&L, and agree with the owners how customers and revenue will move.

    Output Leader in place, mandate and gates agreed

  3. 03

    Build and prove

    Typically 3–9 months

    Build the AI stack and processes, serve the first customers and revenue lines, and measure the unit against the core on cost, margin and quality.

    Output Working unit with its own results

  4. 04

    Redirect and replace

    Ongoing, gate by gate

    Move revenue lines to the unit as it proves itself. Restructure, shrink or exit the legacy operations it replaces.

    Output A business that runs on the new model

Protecting value during the transition

Replacing the core is the point, but not at the expense of today’s cash flow. The move is staged and the owners stay in control of its pace.

  • The core keeps running and funds the move until the new unit proves itself.
  • Revenue moves in stages, through gates the owners set in advance.
  • Each stage has explicit metrics: cost to serve, margin, retention and quality.
  • At every gate the board can stop, slow down or accelerate.

Who it’s for

Private equity funds

Portfolio companies built before AI, where the value‑creation plan needs more than cost cutting.

Family offices and owners

Established businesses whose model is under pressure from AI‑native competitors.

Corporate buyers

Acquisitions where the target, or the acquirer, needs a new operating model to deliver the deal thesis.

Our role

It usually starts as a focused assessment, the diagnosis, and continues as an ongoing partnership through the build and the redirect.

  1. 01Write the diagnosis and the business case with the owners.
  2. 02Find and back the leader of the new unit.
  3. 03Design the AI stack and processes with our technical partners.
  4. 04Sit on the steering group through each gate, from first revenue to the redirect.