Emergent

For PE operating partners

AI value creation that shows up at exit.

Portfolio Ground Truth and Portfolio Ground Plan. The workforce and change methodology that turns AI capital into defensible, hold-period EBITDA across 2 to 25 portfolio companies.

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Built by Emergent. 25 years in workforce and change. Architect of the AI Ground Truth and AI Ground Plan protocols.

The moment

AI just became a top-down PE play.

The labs have moved capital directly into private equity. Anthropic's venture with Blackstone, Goldman Sachs, and Hellman & Friedman. OpenAI's venture with TPG, Brookfield, and Advent. Both are aimed explicitly at deploying AI inside portfolio companies. AI is no longer arriving through the CIO. It is arriving through the operating partner.

01

LP pressure

AI readiness now factors into exit valuations. Buyers price AI-enabled capabilities into the bid. It is a penalty at exit, not a bonus.

02

DCF compression

The cash flows you underwrote assume a workforce that will not exist on the other side of the hold period. The patient-money story is over.

03

Competitive risk

If your portcos do not move first, their competitors will. The first mover in a vertical captures the operating margin and the re-rating.

Value creation has to happen inside the hold period, not after it.

The problem

Operating partners have the mandate. They don't have the method.

An AI operating partner has been named, or AI has been bolted onto an existing functional role. MBB has delivered a deck of AI use-case ideas. So have a couple of boutiques and three vendors. What none of them has delivered is a playbook for sequencing rollouts across 20 to 40 portcos that produces real EBITDA in twelve months.

So when the investment committee or the LPs ask for the portfolio AI plan, the artifact on the table is a slide list, not a portfolio operating model.

The failure mode is the workforce, not the technology.

AI mandated top-down without a workforce strategy reliably produces malicious compliance, quiet sabotage, and stuck pilots. The technology is rarely the constraint. The people are. The evidence is already accumulating. Recent workforce research has found that a significant share of younger workers admit to deliberately degrading the AI rolled out to automate their jobs, and at least one court has ruled that AI substitution is not a protected reason to demote a worker.

The shift

Cost cuts alone won't get you there. Revenue acceleration will.

How AI value creation gets framed determines whether it survives the hold period.

The cost-takeout trap

One-time savingsHeadcount reduction caps the upside at a single cycle.
Workforce immune responseSabotage, malicious compliance, and stuck pilots follow.
Legal and regulatory exposureNew rulings and AI regulation raise the downside.
Priced as risk at exitLPs and acquirers discount for the legal and morale overhang.

The revenue-acceleration shift

Compounds across the holdSales velocity, pricing power, and churn reduction stack.
Workforce-favorable framingAI augments roles, and resistance drops materially.
Low legal exposureHeadcount is preserved, and so is optionality.
Defensible at exitThe story is multiple expansion, not just a margin cut.

The AI work that gets stuck is cost-side. The AI work that moves EBITDA is revenue-side. Sequencing is the difference.

The gap

Nobody is selling the missing layer.

Private equity has no shortage of AI vendors. It has a shortage of the one layer that turns their work into EBITDA.

The labs
Forward-deployed engineers and embedded model usage. No workforce or change methodology, and a built-in bias to sell more model usage.
MBB
AI value-creation strategy decks. Too expensive per portco, slow, and the workforce is treated as a downstream people workstream.
The Big 4
End-to-end transformation programs. Wrong pace, wrong economics, an implementation bias, and no portfolio-wide assessment.
Restructuring firms
Hands-on operational restructuring. A cost-cut bias, and no workforce or change methodology built for AI.
The internal team
Authority, relationships, and deal-thesis knowledge. But four to twelve people stretched across dozens of portcos. They need a specialist that plugs into the team, not one that replaces it.

The workforce and adoption layer that turns capital into EBITDA is unowned.

The architect

Built by Emergent. Grounded in field experience.

Emergent has spent twenty-five years on workforce, change, and adoption inside operating businesses. The AI Ground Truth and AI Ground Plan protocols are how that methodology operates at AI pace.

These protocols are built on Emergent's transformation methodology, refined inside real client engagements, not concepts on a slide. The portfolio-level version productizes proven methodology rather than building from scratch. The operating partner gets a principal-level relationship, not a partner overseeing a stack of analysts.

25 years
Workforce and change advisory inside operating businesses
4 to 6 weeks
To run a Ground Truth or a Ground Plan, per portco
Principal-led
Delivery and IC-ready artifacts, from intake to handoff

Selected client experience

Fortune 500 transformation work, including AI-driven transformation, across consumer, retail, software, healthcare, and industrials.

PE-backed engagements
Syndigo Trojan Battery National Fire & Safety EverDriven
Fortune 500 transformation engagements
PepsiCo Mondelez International Hershey Gap Inc. Skechers Mattel HanesBrands Lowe's Walgreens ServiceNow

The methodology

Ground Truth and Ground Plan, in one picture.

Assessment

Portfolio Ground Truth

AI opportunity inventoryUse-case identification, priority scoring, ROI estimates.
Cross-cutting patternsThemes, dependencies, and sequencing logic.
Org and change implicationsRole impact, skills gaps, stakeholder map, change risk.
Executive briefingThe sponsor-ready artifact for the IC and for LPs.
Activation

Portfolio Ground Plan

Role evolution and capability planFuture-state roles, transition timelines, learning paths.
AI governance frameworkDecision rights, risk controls, escalation paths.
Change execution playbookStakeholder comms, resistance mitigation, adoption scorecard, 90-day calendar.
Sequenced, portco by portcoDeployed in the order the operating partner sets.

Run across the portfolio, the methodology provides three things: sector-pattern analysis that finds the play you deploy once and land in many portcos, capital allocation logic that turns the opportunity inventory into a recommendation, and an IC-ready operating partner briefing.

The engagement

Three tiers. Each one builds on the last.

Tier 1

Portfolio Ground Truth

6 to 12 weeks

A cross-portfolio AI opportunity assessment and a capital allocation view across 2 to 25 portcos, ending in an IC-ready briefing.

For the operating partner
Tier 2

Portco Ground Plan

4 to 6 weeks per portco

Workforce, governance, and change execution, deployed one portco at a time, in the order the operating partner sets.

Operating partner orders, portco CEO sponsors
Tier 3

Operating Partner Advisory Retainer

Standing relationship

A monthly cadence, a quarterly portfolio refresh, and sponsor prep ahead of investment committee and LP meetings.

For the operating partner with a portfolio-ops budget

The deliverables

What you walk away with.

A Tier 1 engagement produces four artifacts, each built to stand up in front of an investment committee.

01

Portfolio AI Opportunity Inventory

Each portco's priority AI opportunities with a priority score, an ROI estimate, and a twelve-month-deployable flag. Filterable by portco, sector, and function.

02

Cross-Portfolio Pattern Report

Where a single AI capability can deploy across multiple portcos at a fraction of the per-portco cost.

03

Portfolio Workforce Impact Snapshot

The aggregate workforce footprint at risk and at opportunity, with a legal and regulatory watch list built in.

04

Operating Partner Briefing Deck

The IC-ready presentation the operating partner takes to the investment committee and to LPs.

The process

How a Portfolio Ground Truth runs.

Weeks 1 to 2

Intake and setup

Portfolio profile built, operating partner kickoff, portco executive interviews scheduled.

Weeks 3 to 5

Per-portco analysis

Parallel analysis across every portco on the standard Ground Truth lens, with human review at each checkpoint.

Weeks 5 to 7

Cross-portfolio synthesis

Sector-pattern analysis, workforce-impact aggregation, capital allocation modeling, and a mid-point working session.

Weeks 7 to 8

Briefing and handoff

The Operating Partner Briefing Deck finalized, an IC-ready capital allocation view, and a walk-through.

What is asked of each portco is light: three executive interviews with the CEO, CFO, and CIO or CTO, a document drop, and a summary of current AI initiatives. Roughly two to three hours of leadership time.

The output

What the assessment surfaces.

A single Portfolio Ground Truth turns a portfolio of unknowns into a costed, sequenced, IC-ready view.

$84M
Aggregate EBITDA opportunity, twelve-month deployable
7
Portcos rated high-priority for a Ground Plan
4
Cross-portfolio plays identified
23%
Of portfolio headcount in materially affected roles

Illustrative figures. Fictional sponsor, an 18-portco lower mid-market portfolio.

A diagnostic

Five questions to ask yourself first.

01
Across your portfolio, do you have a single view of which portcos hold the highest-leverage AI opportunities, and which are most exposed to a competitor's AI move?
Most operating partners have a deck of use cases. Not a portfolio view.
02
When your investment committee or your LPs ask what the AI plan for the portfolio is, what is the artifact you put on the table?
Usually there isn't one. The artifact is the goal.
03
Of the AI initiatives already greenlit at the portco level, how many are moving EBITDA versus stuck in pilot, and what is your read on why?
Most are stuck. Usually it is the people side.
04
Are you treating AI value creation as a cost-takeout play or a revenue-acceleration play, and have you priced the workforce and regulatory risk of cost-takeout?
Cost-takeout is the trap. Revenue acceleration is the compounding play.
05
What is your method for getting an AI initiative to land in a fatigued legacy portco whose CEO has already been told to do AI five times this year?
This is the question nobody has a clean answer to yet.

Getting started

The window is months, not quarters.

The labs' venture announcements just put a target on MBB and the Big 4. Operating partners are being asked the AI portfolio question by their LPs and their investment committees right now. The firms that end up owning the workforce and change layer for PE-driven AI are being chosen this year.

We would like to be your first conversation, not your fifth.