AI executing across a private equity portfolio
AI Execution for PE Portfolios

Make AI Show Up in Your Portfolio's EBITDA.

Senior AI engineers embedded with your operating partners. A repeatable playbook for turning portfolio-wide AI work into measurable value. First production workload in 100 days. Full capability transfer when we leave.

AI Is Happening Across Your Portfolio.
EBITDA Impact Isn't Following.

Your operating partners can list 30 AI initiatives across the portfolio. Some are vendor pilots. A few are showing early traction. None of them are landing in the value creation plan as committed dollars. The firms creating measurable value run a governed playbook that ships inside the hold period. They treat AI like any other VCP initiative, with owners, milestones, and dollars attached.

Three Places AI Shows Up in Your Numbers

Not every AI use case moves the same lever. We rank initiatives by where they move EBITDA, hold-period multiple, or exit narrative, and start where the impact lands fastest.

Where AI value lives across a private equity portfolio

AI-Enabled Products & Business Model Shifts

Highest ceiling. Copilots, AI features, workflow products, and new revenue streams that change the conversation with buyers at exit.
Copilots · AI features · Workflow products · New revenue streams
Very High

Portfolio Company Operations

Fastest EBITDA impact. Customer service, sales, pricing, finance, and content ops are where AI work shows up in monthly P&L within the first hold-period year.
Customer service · Sales · Pricing · Finance · Content ops
High

Fund / GP Operations

Useful on-ramps. Deal sourcing, diligence acceleration, LP reporting, and portfolio monitoring speed your team up while you build operator fluency.
Deal sourcing · Diligence · Portfolio monitoring · LP reporting
Moderate

How We Ship AI Value Inside Your Hold Period

Senior AI engineers embedded alongside your operating partners. Five stages, shaped to the discipline of a value creation plan. Initiative-level accountability, board-ready KPIs, and exit narrative integration at every step.

1

Assess

Weeks 1–2

Portfolio readiness scan, data and systems inventory, workflow pain-point map. A clear picture of where each portco stands.

2

Prioritize

Weeks 3–4

3–5 use cases per portco, ranked by EBITDA impact and replicability. Roadmap integrated into your VCP.

3

Execute

Weeks 4–16

Flagship build: data pipelines, AI integration, workflow deployment, change management. Working system in production by day 100.

4

Monitor

Ongoing

ROI tracked against VCP targets. Board-ready monthly reporting. Exit narrative linkage from day one.

5

Replicate

Continuous

Reusable templates, cross-portfolio learning. The next portco starts further ahead than the first one did.

Strategy and engineering in one partner. Your team owns the system when we leave.

Want This for Your Portfolio?

30 minutes, your portfolio, our point of view on where the AI value is and how we'd go after it.

Book a Portfolio Discussion →
Why It Ships

Most AI Programs Fail in the Same Five Places. The Playbook Avoids Each One.

Failure ModeWhat It Looks LikeHow the Playbook Avoids It
Pilot Sprawl15 disconnected experiments, no priority ranking3–5 use cases per portco, ranked by EBITDA, feasibility, and replicability
No Link to ThesisAI work that doesn't touch the underwriting caseEvery initiative maps to underwriting thesis, margin target, or exit story
Technology FirstSophisticated models running on broken workflowsWorkflow redesign first. The model is the last thing we add.
No ProductionSlide decks, no shipped systemsFull-stack delivery: data, integration, and AI in production within 100 days
No Learning LoopEvery portco solves the same problem aloneTemplates and learnings move across the portfolio, build by build
Pilot Sprawl
15 disconnected experiments, no priority ranking
3–5 use cases per portco, ranked by EBITDA, feasibility, and replicability
No Link to Thesis
AI work that doesn't touch the underwriting case
Every initiative maps to underwriting thesis, margin target, or exit story
Technology First
Sophisticated models running on broken workflows
Workflow redesign first. The model is the last thing we add.
No Production
Slide decks, no shipped systems
Full-stack delivery: data, integration, and AI in production within 100 days
No Learning Loop
Every portco solves the same problem alone
Templates and learnings move across the portfolio, build by build

A PE-Backed Services Company Became a Software Business — and Walked Into a Much Better Exit.

SitelogIQ platform case study

An energy services and facility solutions provider with 700+ employees and 30+ locations was running on manual processes. Assessments lived in spreadsheets. Reporting was done by hand. Scaling the business meant adding more people.

Compoze Labs embedded with their team across four product releases, replacing manual field operations with a custom platform for assessments, capital planning, and client reporting.

Three years later, they weren't selling services anymore. They were selling the platform — and the technology had become the centerpiece of the exit narrative.

260+ Users
Active platform users across 40–50 client organizations
Service → Platform
Recurring SaaS revenue stream that didn't exist at acquisition

$75K–$150K Per Portfolio Company. Working Systems, Not Roadmaps.

Fixed scope. Measured returns. Board-ready deliverables at every stage so your operating team stays in control from day one.

$35K
Readiness Assessment
2 weeks, fixed scope. Board-ready deliverables.
$75K–$150K
Flagship Build
12–16 weeks to production. Per portfolio company.
  • Senior AI engineers embedded alongside your operating partners
  • Full capability transfer — your team owns the system when we leave
  • Initiative-level accountability and quarterly board reporting
  • Reusable templates that compress cost and time on the next portco

Tell Us About Your Portfolio.

A 30-minute conversation, walking through where we see the biggest AI value across your specific holdings, how we'd execute, and what it would cost. You leave with a clear view of what's possible — no slide-deck hard sell.

Schedule a Conversation →