PE Value Creation
Portfolio AI strategy, build sprints, and repeatable value creation playbooks.
We help sponsors and portfolio leaders set AI ambition, compare value levers across companies, build the first custom systems, and turn proven plays into a portfolio-wide operating capability.
First Proof Point
Ranked
Value Backlog
Portfolio companies compared by value, readiness, and sponsor pull
Expected Outcomes
What this looks like in practice.
Ranked
Value Backlog
Portfolio companies compared by value, readiness, and sponsor pull
90 days
To First System
A first workflow built, measured, and ready to reuse as a pattern
Board
Value Trace
Adoption, KPI movement, risk, and next wave tracked for sponsors
Reusable
Playbooks
Revenue, service, operations, reporting, and quality patterns codified
Deliverables
What you get.
Scope
Portfolio AI ambition and value-creation thesis
System
90-day custom build sprints tied to EBITDA levers
Adoption
Exit narrative and AI asset documentation
Portfolio AI ambition and value-creation thesis
AI readiness and value lever assessment by company
90-day custom build sprints tied to EBITDA levers
Common operating playbooks for revenue, service, operations, and G&A
Portfolio dashboard for adoption, run-rate value, and risk
Exit narrative and AI asset documentation
How It Works
From selected workflow to operating cadence.
01 · Week 1-2
Assess
Compare value pools, workflows, data readiness, sponsor ownership, and risk.
02 · Week 3-6
Sprint
Build one priority workflow with measurable adoption and KPI movement.
03 · Week 7-12
Scale
Package the pattern, train owners, and prepare the next company or function.
04 · Ongoing
Portfolio
Roll out proven playbooks to additional portfolio companies.
Ideal Client
Is this right for you?
PE firms and portfolio leaders who need a repeatable way to compare AI build candidates, fund the first sprint, and show adoption and KPI movement without asking each company to invent its own method.
Measurable workflow
Named business owner
Ready to adopt