AI Consulting · Private Equity

AI Consultingfor Private Equity

Turn "AI value creation" from a thesis slide into scoped workflow priorities. We run a standardized AI assessment across your portfolio, identify the best-fit build candidates, and reuse a shared playbook so each project can reuse vetted decisions. Engineers who ship — and who've already delivered for PE-backed companies.

Every deck says "AI value creation." Few firms execute it.

Each portfolio company is different, the operators are stretched, and most AI vendors sell tools, not outcomes. So the AI value-creation initiative becomes a pilot that stalls at one company and never scales across the portfolio.

We make it repeatable: one assessment lens, prioritized builds, and a shared playbook that compounds across your holdings.

What We Do

A repeatable engine for portfolio AI

Portfolio AI Assessment

A standardized opportunity audit run across your holdings — same lens, same scoring — so you can compare AI workflow potential company by company. Scoped per company after discovery.

Value-Creation Build

We build the best-fit AI workflows at selected portfolio companies — back-office automation, customer operations, reporting — with ownership retained by the company.

Shared Playbook & Infrastructure

A repeatable AI playbook and shared patterns across the portfolio, so each new build can reuse vetted decisions instead of starting from scratch.

Diligence AI Readiness

Pre-close, we assess a target's AI and automation readiness, so you can include scoped workflow opportunities in diligence planning.

Proven for PE

We've already shipped operational automation for a PE-backed company

We automated a private-equity-backed client's general-ledger mapping from multi-day mapping work into a review-ready workflow — the kind of scoped, operations-relevant work we can evaluate across a portfolio, backed by Fortune 50 enterprise AI experience.

See customer results

Who We Work With

Built for the firm and the portfolio

PE & growth firms

Operating partners driving an AI value-creation agenda across holdings.

Portfolio companies

Operators who need the build done, not another vendor demo.

Deal teams

Diligence on a target's AI and automation upside before you close.

FAQ

PE AI consulting, answered

What does AI consulting for private equity look like?

We help PE firms turn AI value-creation theses into scoped portfolio work: a standardized assessment of each holding's opportunity, custom builds at best-fit companies, a shared playbook, and pre-close diligence on a target's AI readiness. We both advise and build — so the thesis has an execution path.

Do you have experience with PE-backed companies?

Yes. For a private-equity-backed client, we automated general-ledger mapping from a multi-day mapping workflow into a review-ready process. We understand the operational diligence and workflow constraints PE firms care about, on top of Fortune 50 enterprise AI experience.

How does a portfolio-wide engagement work?

We run the same opportunity assessment across your holdings so results are comparable, prioritize where AI has the clearest workflow fit, then build at selected companies using a shared playbook. Each company owns what we build, and the portfolio benefits from reusable patterns and infrastructure.

Can you assess AI upside during diligence?

Yes. Before you close, we evaluate a target's automation and AI readiness and outline scoped workflow opportunities, so you can factor them into diligence and first-100-days planning.

How much does it cost?

A standardized AI opportunity audit Scoped per company after discovery. Portfolio engagements and builds are scoped to the work. See our AI pricing guide for ranges.

How quickly can a portfolio company see results?

Timing depends on company access, data readiness, security review, and workflow complexity. Portfolio builds start with a focused first workflow once scope and business case are validated.

Make AI value creation real across your portfolio

One conversation. We'll outline how we'd assess your holdings, where to scope the first workflow is, and how we'd build it.

Plan your AI workflow