AI portfolio intelligence for private equity

Know your AI exposure. Capture value. Reduce disruption risk.

We help PE firms evaluate AI opportunity and risk across portfolio companies with a repeatable scorecard, a portfolio heatmap, and a 12-month value creation plan.

Diligence support
100-day planning
Portfolio prioritization
Vendor-agnostic
Portfolio Heatmap Output
One view of AI value + readiness + risk
Score each company across Value, Readiness, and Risk. Then prioritize investments and defensive actions.
AI Value
1–5 score
EBITDA levers + growth
AI Readiness
1–5 score
data + operating model
AI Risk
1–5 score
disruption + margin pressure
90-day plan
quick wins
execution-ready
Typical engagement: portfolio scan in 2–4 weeks, then deep dives for top priority companies.

Services

Modular offerings that match how PE teams operate: diligence, 100-day planning, and ongoing value creation.

Portfolio-Level

AI Exposure Scan

Portfolio heatmap of AI value potential, readiness, and disruption risk. Identify where to invest, defend, or monitor.

Company-Level

AI Value Creation Assessment

Function-by-function opportunity map with quantified levers, prioritized initiatives, and an execution plan (12–24 months).

Risk & Diligence

AI Risk & Disruption Review

Identify margin compression, product substitution, AI-native entrants, and operational/compliance risks — with mitigations.

The AI Portfolio Assessment Framework

A repeatable scorecard that enables consistent comparisons across companies and supports Investment Committee discussions.

Dimension What we evaluate Output
Value Creation Potential EBITDA and growth levers: automation, decision support, sales enablement, support transformation, product innovation. Value score (1–5)
AI Risk Exposure Disruption risk: product substitution, margin compression, customer expectations, AI-native entrants, workforce model. Risk score (1–5)
Data Readiness Feasibility: data availability, data quality, data structure, system integration, governance & ownership. Readiness score (1–5)
Operational Leverage Where AI can remove friction: back office, support, compliance monitoring, supply chain optimization. Automation upside
Strategic Differentiation Moat potential: proprietary data, switching costs, product intelligence, network effects, speed advantages. Moat score
Classification: Accelerator / Investment Target / Defensive Priority / Efficiency Play / Optional Portfolio view: Readiness (X) vs Value (Y); risk overlay

How engagements work

Fast, PE-friendly approach designed for diligence timelines and operational planning.

1

Intake

Align on portfolio objectives, thesis, and current initiatives. Identify key stakeholders and data sources.

2

Scorecard

Assess each company across Value, Readiness, and Risk using standardized questions and evidence-based scoring.

3

Heatmap

Deliver a portfolio view with prioritization, investment recommendations, and risk alerts.

4

Roadmap

Deep dive top priorities. Build a 90-day plan + 12-month roadmap with owners, sequencing, and governance.

Deliverables you can take to IC

Clear outputs that support portfolio decisions, value creation programs, and risk mitigation.

Portfolio

AI Portfolio Heatmap

Ranked view of value vs readiness, with risk flags and recommended actions per company.

Company

AI Opportunity Map

Top use cases by function, effort vs impact, dependencies, and sequencing into a practical roadmap.

Risk

AI Risk Register

Disruption threats, compliance considerations, and mitigations — aligned to governance and operating cadence.

Optional add-ons: vendor landscape & selection support, AI operating model design, KPI & measurement, implementation oversight.

FAQ

Answers to common questions from Operating Partners and Value Creation teams.

Do you build AI solutions or implement tools?

We’re vendor-agnostic advisors. We focus on assessment, prioritization, and execution planning. If you need implementation, we can help you structure the program and select the right partners.

How fast can you produce a portfolio heatmap?

Typical portfolio scans complete in 2–4 weeks depending on access to management teams and materials.

What data do you need from portfolio companies?

We start with what you already have (KPIs, org charts, system lists, process descriptions, strategy decks). Where needed, we conduct targeted interviews and request limited operational data to validate feasibility.

How do you quantify value?

We map initiatives to EBITDA levers (cost take-out, productivity, conversion lift, churn reduction, cycle time). Quantification can be directional in a scan and refined in deep-dive phases.

Contact

Want a sample heatmap template or a quick walk-through of the framework? Send a note and we’ll respond promptly.

Get started

Book an intro call

Share a fund name (optional), portfolio size, and what you’re trying to answer (diligence, 100-day, value creation).

Typical engagement
2–6 weeks
portfolio scan → deep dives
Focus
EBITDA-first
value + risk + readiness
Message