AI Implementation for Private Equity Portfolios

Your portfolio companies are being asked about AI. Give them a real answer—not a checkbox, but a prioritized roadmap tied to EBITDA impact.

The Problem

"What's our AI strategy?"

Your operating partners know AI can drive value. But most portfolio companies—especially first-time institutional capital—don't have the internal capability to assess opportunities, prioritize them, or build anything real.

You're stuck choosing between:

Big consultancies that charge $500K for a PowerPoint and take 6 months

DIY experiments that go nowhere and distract management teams

Ignoring it and hoping the question stops coming up

There's a better option.

How We Work with PE

Assessment → Roadmap → Build → Scale

1. Portfolio Company Assessment

Portfolio Company Assessment

We map workflows, identify inefficiencies, and score AI opportunities by ROI and implementation complexity. You get a prioritized roadmap—not a 200-page deck that sits on a shelf.

Deliverable: Ranked opportunities with estimated ROI, quick wins ready to execute, and clear build specs.

2. Implementation

Implementation

We build the solutions: workflow automation, AI agents, system integrations, internal tools. Flat-rate pricing based on scope. Fast deployment—weeks, not quarters.

Deliverable: Working systems that drive measurable results.

3. Portfolio Scale

Portfolio Scale

Here's where PE economics kick in. Solve the problem once in your HVAC company, then deploy the same playbook to your garage door, plumbing, and electrical companies.

Deliverable: Documented patterns and playbooks that transfer across your thesis.

Why This Works for PE

PE Reality	How We Fit
Thesis-driven portfolios	Solve once, deploy across similar companies
EBITDA focus	We price on value, measure on margin impact
Speed matters	Weeks to deploy, not months to assess
Management bandwidth is limited	Done-for-you implementation, minimal lift from portco teams
No appetite for big-firm fees	Boutique rates, no overhead bloat

Common Use Cases

Operational Efficiency

Claude rollout strategy across portfolio companies
Workflow audit and AI integration roadmap
Document processing and knowledge extraction
Team training on Claude Projects, Skills, and MCP integrations

Revenue Acceleration

Sales and ops team Claude enablement
AI-powered qualification and routing workflows
Customer-facing AI strategy review
Quote and proposal generation with Claude

Data & Insights

Cross-system data integration with Claude
Operational dashboards and reporting workflows
Portfolio-wide adoption and performance visibility
AI release monitoring + quarterly strategy review

Engagement Options

Type	What You Get
Clarity Session	One month embedded in a portfolio company — workflow review, Claude blueprint, prioritized opportunities with ROI framing
Workshops	Foundations or custom team training tailored to portfolio company workflows
Portfolio Rollout	60/90-Day Rollout scoped across multiple portfolio companies, with cohorted foundations and per-company measurement
Ongoing Advisory	Scoped per-engagement: release monitoring, strategy calls, and follow-on training after the core rollout

All engagements are scoped per-company. Get in touch to discuss pricing for your portfolio.

Nicole J. Patten

Ex-Google Engineer. AI Consultant

7 years building products at Google. Now I help small businesses automate with AI that pays for itself in 30-60 days.

Let's Talk

30-minute call to discuss your portfolio and where AI can drive value. No pitch deck, no sales pressure—just an honest conversation about what's possible.