Diagnostic-First AI GTM Transformation for PE Portfolio Companies.
The PE Deployment Gap

AI Transformation Built for PE Hold Periods.

The mega-cap firms locked in $11.5B of AI deployment infrastructure for their portfolios. Mid-market funds need the same diagnostic, methodology, and behavior-change capability — without a $300M buy-in or a generic mandate that breaks at the process layer.

11% → 30%
Enterprise win rate, nine-month engagement
6mo → 8wk
BDR ramp time at a PE-backed technical company
46%
Compound conversion lift across a seven-stage funnel
Trusted in the enterprise and midmarket
MARSCitiHPEExelonTipaltiMuralThought IndustriesCEATI
And across portfolios of
Pamlico CapitalPSGBlackstoneInsight PartnersLuminate Capital Partners
The Problem

Deployment Is Up. Value Is Not.

74% of enterprises have AI deployed. Only 26% generate measurable results — and 40% of GPs expect no material EBITDA impact this year.

Mandate without process

98% of PE sponsors have mandated AI across their portcos. Fewer than 1 in 3 portco CFOs have implemented it meaningfully. The mandate is right. The execution layer is missing.

Tools without adoption

Seats licensed, dashboards configured, nobody using them. AI that sits at 12% weekly active rate does not move EBITDA.

Training without reinforcement

A one-day workshop, enthusiastic slides, and six weeks later the team is back to copy-paste sequences. No manager cadence, no behavior change.

The bottleneck was never the model. It was deployment.

The Thesis
$11.5B

Two AI Labs. One Bet. It's a Deployment Race.

OpenAI's venture is called "The Deployment Company." Both target PE-backed businesses as the distribution channel. Axios →

$10B
OpenAI · "The Deployment Company"

$4B+ raised from 19 investors.

Backed by TPG, Brookfield, Advent, Bain Capital, and SoftBank. Reach: ~2,000+ portfolio companies. Built to embed OpenAI engineering directly into operating businesses.

$1.5B
Anthropic + PE Consortium

Claude embedded inside PE-backed businesses.

Joint venture with Blackstone, Goldman Sachs, Hellman & Friedman, Apollo, General Atlantic, and Sequoia. Anthropic's engineering resources deployed directly into portfolio companies.

These are not model bets. They are forward-deployed AI services businesses with privileged model access, captive distribution, and a mandate to turn capability into operating results.

The PE Math

12 Is the New Five.

GPs now need 10–12% annual EBITDA growth to generate a 2.5x MOIC over five years. Last cycle, 5% got you there. Multiple expansion is gone. Cheap debt is gone. Operational improvement through AI is the entire investment thesis — not a component of it.

10–12%
Annual EBITDA growth needed for 2.5x MOIC over five years.
16,000+
Buyout-backed companies past the four-year hold mark.
11% vs. 64%
Meaningful AI ROI: companies under $500M revenue vs. companies over $500M.
The Playbook

The GTM Transformation Framework.

The same five-step sequence that turned an 11% enterprise win rate into 30% in nine months at one PE-backed company, and cut BDR ramp from four to six months down to eight weeks at another. Process before tools, every time.

Step 01

Diagnose

Analyze 100+ recorded sales calls against MEDDPICC and SPICED. Benchmark funnel metrics against PE-backed peers.

3–6 mo traditional → 2–4 wk AI-enhanced
Step 02

Design

Build 2–3 targeted AI interventions around the gaps the diagnostic surfaced. Connected to the conversion rates you are trying to move.

Methodology + AI architecture in parallel
Step 03

Activate

Embed the tools where reps already work — Slack, CRM, email. If the team has to leave their current systems, adoption dies.

30–60 days
Step 04

Train

Five-plus hours of training plus coaching produces 79% regular AI usage versus 67% without. Start with managers — they are the multiplier.

60–90 days
Step 05

Reinforce

Build AI into the daily operating rhythm. Call scoring in pipeline reviews. Coaching insights in 1:1s. Continuous measurement against the baseline.

Ongoing — quarterly cadence

The difference: By Week 12 you have working tools, enabled managers, AND measurable conversion lift — not a deck with recommendations.

Learn How We Work →
Where It Pays Back

Four Use Cases. Measurable Inside the Hold Period.

Each use case maps to a specific point of impact inside the portfolio company sales org. ROI typically shows up within 90–180 days.

Use Case 01

Post-Acquisition Sales Integration

55% of M&A integrations fail to deliver projected synergies — most of that gap shows up in sales: misaligned methodologies, fractured pipelines, cross-sell that never materializes. AI accelerates the diagnostic and unifies the operating system across acquired entities before the integration window closes.

Proof: Software integrator with 60% win rate boost.
What Progress Looks Like

Speed to Impact.

A diagnostic-first engagement produces measurable artifacts at predictable intervals. These are the milestones operating partners can expect to surface in portfolio reviews.

30 Days

  • Diagnostic complete: call scoring baseline, funnel benchmark, methodology gap map
  • 2–3 AI interventions designed and scoped
  • Manager enablement plan locked

90 Days

  • AI tools live in Slack, CRM, email — embedded, not bolted on
  • Manager-first training complete, rep cascade underway
  • First measurable conversion lift in targeted stages
  • ROI documented against baseline

180 Days

  • Reinforcement rhythm operating: call scoring in pipeline reviews, coaching insights in 1:1s
  • Methodology adoption measurable, not anecdotal
  • Compound conversion improvement across the funnel

365 Days

  • Capability transferred — the portfolio company sustains the system without Dana
  • EBITDA impact tied to specific operational improvements
  • Playbook ready to replicate at the next portco
Your Two Options

Built for the Mid-Market.

The mega-cap JVs serve the firms that funded them. Mid-market needs a different cost structure and operating model.

The Mega-Cap JVs

OpenAI / Anthropic + PE Consortia

  • Embedded engineering teams across portfolio companies
  • Captive distribution to ~2,000+ portfolio companies
  • $300M+ to participate; equity stake in the vehicle
  • Single-vendor model alignment by design
  • Built to serve the firms that funded them
Dana Consulting

Diagnostic-First. Vendor-Agnostic. Mid-Market Scale.

  • Diagnostic-first: process before tools, every time
  • Vendor-agnostic: own the playbook, rent the technology
  • Targeted engagements — no embedded engineering team required
  • Designed for the fund-mandate-meets-portco-execution gap
  • Capability transfers to the portco — they run it without us

The fund supplies the mandate. Dana supplies the diagnostic infrastructure and the behavior-change system that turns mandate into measurable EBITDA.

The Next Exit Rewards Evidence. Not Narrative.

Faster ramp. Better conversion. Higher manager visibility. Measurable EBITDA across the portfolio — not tool-adoption dashboards. Strategic acquirers pay 20–30% premiums for documented AI operating models.

Diagnostic in 2–4 weeks, not months
Vendor-agnostic — own the playbook, rent the technology
Capability transfers to the portco
Schedule a Portfolio Diagnostic

The question is whether you are orchestrating deployment — or hoping each company figures it out alone.

100% Success Guarantee

At least 10% improvement in 90 days — or we keep going at no cost.

We have not had to invoke this clause yet.

Get Started

Schedule a Portfolio Diagnostic.

Tell us about your portfolio. We come back within two business days with a 30-minute slot to walk through where a diagnostic would land highest in your hold-period math.

Whether you're an operating partner at a fund or a CRO at a portfolio company — we work both sides of the GP-portco line. Pick the role that fits and the rest of the form adapts.

We respond within two business days. No newsletter signups, no drip sequences — just a real reply.