DANA CONSULTING

The PE Deployment Gap.

What $11.5B in AI ventures tells operating partners about where value creation actually lives in the mid-market.

2026 victor@dana-consulting.com dana-consulting.com

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The Thesis

Not model bets. Deployment bets.

In the same news cycle, OpenAI launched a venture called "The Deployment Company" — valued at $10B, backed by 19 PE investors including TPG, Advent, and Bain Capital. Separately, Anthropic announced a $1.5B joint venture with Blackstone, Goldman Sachs, and Hellman & Friedman. Both explicitly target PE portfolio companies as the distribution channel.

These are forward-deployed AI services businesses with captive distribution — and a mandate to turn AI capability into operating results.

"Having the model alone doesn't change your workflows or how you operate. You need people who can combine the technology with what's actually happening in the business." Marc Nachmann · Goldman Sachs

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Why Now

12 is the new 5.

Multiple expansion is gone. Cheap debt is gone. Operational improvement through AI is the entire investment thesis.

10–12%

Annual EBITDA growth now needed for 2.5x MOIC (was ~5%)

16,000+

Buyout-backed companies past the 4-year hold mark

6.6 yrs

Average holding period — and stretching

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The Real Bottleneck

The model is 10%. The value is in the 70%.

Both ventures are built to address the 70%. The model is the visible artifact. The value sits in the invisible operating work underneath it.

Algorithm / Model 10%

Data & Infrastructure 20%

People & Process 70%

The AI itself — the visible artifact every vendor sells you.

Data access, integration, architecture — the plumbing.

Workflow redesign · Methodology · Governance · Change management · Adoption measurement.

Source · BCG, 2025

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The Gap

74% deployed. 26% seeing results.

74%

of enterprises have Gen AI deployed (up from 46% in Q1 2025)

Battery Ventures

26%

have capabilities to move beyond proof of concept

BCG

"There's no shortcut to getting that intelligence applied to a business process in a stable way." Aaron Levie · Box CEO · ~40% of GPs don't expect material AI impact in portfolio ops this year — Bain 2026 GP Outlook

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What We're Seeing

Four approaches. One common gap.

Based on our work with PE-backed sales organizations, four approaches keep showing up. Each solves part of the problem. None solve all of it.

Each approach solves one piece. None solve all three: mandate + process infrastructure + behavior change.

01 · The Mandate

Standardized stack, top-down KPI rollup.

100-day integration playbook. Standardized AI tools. Monthly reporting tied to operating budgets.

Lesson: Generic tools can't adapt to portfolio-company-specific processes.

02 · The Forced Adoption

Pre-negotiated tools across the whole portfolio.

Mandated AI vendor contracts across 80+ portcos for 3+ year terms. Centralized procurement, no opt-out.

Lesson: Companies pay for tools they don't use. No ROI measurement.

03 · The Relationship Approach

Senior-partner-led introductions.

Operating partner brokers vendor relationships. Hiring a single GTM operator to advise across the book.

Lesson: Advisory without mandate produces uneven results across portcos.

04 · The Summit Approach

CRO summits, published research, recruited talent.

Annual gatherings. Thought leadership. Operators recruited into portcos with AI mandates of their own.

Lesson: Vision without budget authority produces paralysis at the company level.

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What Winners Build

Three things need to be true.

Top-Down Mandate

This is the operating partner's lever, not the consultant's. AI roadmaps tied to budgets. Governance on every portco management team. Monthly reporting that ties AI adoption to operating outcomes.

Vista, Apollo, and Hg all run this at the fund level. The mandate is the prerequisite. Everything else follows.

Diagnostic-First Deployment

Analyze calls. Benchmark the funnel. Map process. Design AI interventions around specific gaps — connected to conversion rates you're actually trying to move.

From one diagnostic: 83% of won deals had a champion vs. 17% of lost.

Behavior Change System

5+ hours of training with coaching. Enable managers first — they're the multiplier. AI built into the daily operating rhythm, not a side initiative.

BCG: leadership support shifts AI positivity from 15% to 55%.

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The Math

Two ways to see the return.

At the Company Level

$1.7M → $3.3M

Every sales process has key moments where deals advance or stall: researching an account, running discovery, building a business case, writing a proposal. AI doesn't replace the seller at these moments. It makes the seller measurably better at each one. A 10% conversion lift at each stage compounds to 2x output from the same pipeline.

Each percentage point comes from AI applied at specific moments in the sales process: lead research that takes 2 minutes instead of 30. Call scoring on 100% of conversations instead of 5%. Personalized proposals built from client conversations instead of templates.

46%compound lift · 2xoutput

Across the Portfolio

5 cycles vs. 2 cycles

Traditional integration consumes 12–18 months before commercial improvement takes hold. Diagnostic-first integration surfaces actionable gaps in 90–120 days. With 3 years remaining in the hold period, that's the difference between 2 improvement cycles and 5.

36%EBITDA CAGR required today

58%after a 12-month delay

84%after an 18-month delay

At the company level, small conversion improvements compound into significant revenue gains. At the portfolio level, the speed of that improvement directly affects hold-period math and exit outcomes. The question isn't whether AI can help. It's how quickly the diagnostic work begins.

See the portfolio-level impact →

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Story 01 From the Field

$15K fight. 3x win rate. Nine months.

A new CRO recruited by a mid-market PE firm to convert a transactional, single-product team into an enterprise sales motion. Six months in, the math wasn't moving — and the budget to fix it didn't exist.

Recruited

PE firm hires the CRO with a mandate to move upmarket. Enterprise pipeline target: 3x in twelve months.

Blocked

CEO didn't understand enterprise sales. CFO wouldn't release budget. Detailed funnel analysis sent to leadership — crickets.

Repurposed

A departing SDR's salary line gets redirected — $15K, off the books, into a MEDDPICC program for the whole team.

Built

AI qualification scoring on every call. Conversation intelligence in every pipeline review. Coverage went from 5% of calls to 100%.

Result

Enterprise win rate moved 11% → 30% in nine months. Same team. Same product. New operating system.

"A CRO fighting for $15K while Blackstone writes $300M checks. Same problem — different resources." The bottoms-up approach depends on finding the right individual at every company. That doesn't scale.

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Story 02 From the Field

4–6 months → 8 weeks. Four years of growth.

A PE-backed company in a complex technical market — 20+ product lines, 18-month sales cycles, 4–7 stakeholders per deal. Leadership committed to AI from day one: the CEO had deployed team AI accounts across the company before the engagement started. That top-down commitment cleared the path for a diagnostic-first approach and AI systems built around their specific sales process.

Before

The old onboarding

Ramp time4–6 months

Qualification accuracy60%

Weekly conversations12–15

Pipeline per BDRBaseline

Handoff qualityBaseline

After

8-week AI-enhanced program

Ramp time8 weeks

Qualification accuracy85%

Weekly conversations25–30

Pipeline per BDR+35%

Handoff quality+40%

What we built: milestone-based 8-week onboarding · custom GPTs that compress 500-page regulatory filings into 2-page deal briefs · 30+ AI-powered role-play simulations across the buyer set · SPICED qualification scoring on every recorded call · weekly manager dashboards tied to ramp milestones. The result compounded: four consecutive years of sales growth after the new system landed.

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The Playbook

Diagnose → Design → Activate → Train → Reinforce

Diagnose

100+ calls analyzed. Funnel benchmarked. Process mapped. Know where the leverage is before spending a dollar.

Design

2–3 targeted AI interventions around specific gaps. Connected to conversion rates. Not scattered pilots.

Activate

Embedded in Slack, CRM, email. If reps leave their tools to use yours, adoption dies.

Train

5+ hours with coaching. Start with managers. They're the multiplier.

Source · BCG

Reinforce

AI in every pipeline review, 1:1, and team meeting. Continuous measurement. Compound improvement.

Start with 2–3 use cases. Show ROI in 90 days. Scale across the portfolio.

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Are you orchestrating deployment, or hoping each company figures it out alone?

The next exit cycle will not reward AI narratives. It will reward evidence: faster ramp times, better conversion, lower service costs, cleaner workflows, higher manager visibility, and measurable EBITDA impact.

Victor Adefuye · Founder, Dana Consulting

victor@dana-consulting.com · dana-consulting.com · superintelligentsales.ai

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