AI-Enabled GTM Consulting·PE-Backed Portfolio Companies

Your portfolio company doesn't need five new hires. It needs one integrated AI‑Enabled GTM engine.

Skybridge Data replaces the traditional build-out — the RevOps lead, the pricing consultant, the comp designer, the marketing ops analyst — with a single integrated engagement that delivers the same output in a fraction of the time and cost. Principal-led. AI‑augmented. Priced to value.

Engineered for exit.
Start a conversation → See results ↓
Revenue trajectory · case study
$7M → $22M in 24 months
ICP model + pricing + comp redesign + territory optimization
DIAGNOSIS BUILD ACCELERATE $22M $17M $12M $7M M0 M6 M12 M18 M24 baseline ICP Pricing Comp Territory
3.1×
Revenue growth
40%
Team expansion
24mo
Time to result
Engineered for exit.
3
PE exits driven by pricing transformation
20+
Exits across PE-backed and venture-backed portfolio companies
15+
Years serving portfolio companies for PE and VC firms managing $8B–$20B+ in assets
The problem

A PE-backed portfolio company identifies revenue underperformance. Here's what actually happens.

The board directs leadership to restructure the commercial function. The CRO begins hiring: a VP of RevOps at month one, a marketing ops lead at month three, commissions a pricing study at month five, and brings in a comp consultant at month seven. Each one sees the problem through their functional lens. None of them share a unified data model.

By month twelve, the company has spent $800K+ in loaded salary and project fees — including $300K+ on a pricing study that produced a model but no activation strategy — and the commercial function still isn't integrated.

I've seen this pattern across 100+ engagements. The problem isn't the people — it's the sequencing, the silos, and the coordination tax. The alternative is to install the entire commercial capability as one AI-augmented, integrated system — built by a single practitioner who holds the full picture from ICP to pricing to comp to territory to campaign activation, with AI workflows that continue generating value after the engagement ends.

That's what Skybridge does.
The traditional playbook · 12 months
Month 1 Hire VP RevOps $180K
Month 3 Hire Marketing Ops Lead $140K
Month 5 Commission pricing study $300K+
Month 7 Bring in comp consultant $120K
Month 12 Still not integrated $60K+
12-month total
$800K+
Loaded salary + project fees
Function still fragmented
Skybridge: One integrated engagement
6–12 months · Fully integrated from day one
$125–250K
How I work

One practice. Three ways to engage.

Every engagement is priced to value — not hours, not headcount. The Integrated Commercial Build model delivers the deepest impact — replacing the need to hire and coordinate multiple functions. For targeted interventions, I also offer focused engagements scoped to a specific commercial lever.

Lead engagement
Integrated Commercial Build (ICB) Program
The entire commercial function, delivered as one system
ICP Model + Segmentation 100% Pricing Architecture 89% Comp Redesign 79% Marketing Ops 68% Campaign Activation 57%
A 6–12 month embedded engagement that delivers a fully integrated commercial operations function. Eliminates 12+ months of internal hiring, on-boarding, and ramping at a cost of over $800K in loaded salary, consulting fees, and coordination overhead — replaced by a single proven operator who holds the full picture from ICP to pricing to comp to campaign activation, at 2–3× the speed. Without hitting EBITDA, diluting equity, or absorbing the fully loaded employment costs that come with building the function internally.
Includes
ICP scoring Pricing model Comp redesign Marketing ops Sales playbook KPI dashboards Campaign activation
Typical investment
$125K–$250K
Value creation phase
Focused engagement
Growth Diagnostic
Find the levers before you pull them
HIGH VALUE · LOW FIT HIGH VALUE · HIGH FIT DEPRIORITIZE NURTURE
Analyzes customer concentration risk, pricing power, ICP alignment, sales productivity, comp structure, and AI readiness across commercial workflows to produce a prioritized roadmap tied to specific revenue and margin targets.
Includes
Transaction data analysis Sales productivity benchmarks Sales Performance Analysis Strategic Growth Assessment Growth Plan AI Readiness Evaluation
Typical investment
$25K–$30K
Due diligence · First 100 days
Focused engagement
90-Day Pricing Sprint
90 days to pricing power
OPTIMAL ZONE TOO CHEAP EXPENSIVE
Fixed-scope pricing transformation. Combines price sensitivity analysis with market intelligence to produce the pricing model, the validation that supports it, and the campaigns that operationalize it. This engagement has driven three PE exits.
Includes
Willingness to Pay Study Market intelligence Pricing model Price Book Buyer Intelligence & Prescriptive Campaign Design Margin projection
Typical investment
$100K–$150K
Pre-exit margin expansion

For targeted interventions on a specific commercial lever — comp plan design, territory restructuring, ICP modeling, or market analysis — I also engage on a project basis, either directly or through a curated network of strategic partners. If you're not sure which model fits, start with a conversation. The right scope usually becomes clear within the first 30 minutes.

Results

The work speaks for itself.

I don't publish client names. I publish outcomes.

$16M → $32M
Revenue doubled in 12 months
Growth diagnostic → ICB Program · Construction supplier
$16M · BEFORE → $32M · AFTER 2.0× · 12mo
A construction supplier at $16M needed a commercial overhaul. I started with a Growth Diagnostic that identified the highest-value segments and exposed a data asset the company didn't know it had — proprietary transaction data that was directly monetizable. The diagnostic converted into a full ICB Program: ICP architecture, pricing redesign, comp restructuring, and campaign activation. Revenue doubled to $32M in 12 months. The data monetization capability I built became a standalone revenue line.
$1M above plan
5% of annual revenue above plan in month one
Comp design · PE-backed accounting firm · $20M revenue
PLAN ACTUAL +$1M
A PE-backed accounting firm needed a compensation redesign during a complex transformation. I designed a behavioral incentive architecture incorporating leading indicators — pipeline generation, cross-sell activity — rather than just trailing revenue metrics. The new comp plans drove $1M above plan in the first month.
Pricing → Exit
Perpetual → XaaS transformation cited as value driver in transaction
90-Day pricing sprint · PE-backed legal software
PERPETUAL MODEL → XaaS MODEL + MARGIN EXPANSION → EXIT
A PE-backed legal software company was charging based on a data-storage model that customers had learned to game — purging historical data to avoid fees while processing new matters through the platform. I conducted a Willingness to Pay Study across 4,800 matters, validated pricing against competitive intelligence, and redesigned the model from perpetual data-storage to value-based per-matter pricing. Revenue projection shifted from ~$4.1M to ~$15.6M. The client was acquired two years later — the acquirer cited the pricing architecture as a value driver in the transaction.
12.5×
Net new MRR across redesigned acquisition funnel
ICP + Pricing + Funnel optimization · Growth-stage technology
1× → 12.5× MRR contribution
A growth-stage technology company was undermonetizing its customer base with a flat pricing model and an unfocused acquisition funnel. I redesigned the entire acquisition funnel — identifying what was actually converting, cutting what wasn't, and implementing price increases aligned to the segments delivering the most value. The result was a 12.5× improvement in net new monthly recurring revenue. Not from one segment — from restructuring how the company acquired, priced, and retained customers across the board.
What clients say
"Adrian is one of the most talented individuals I've worked with, his expertise and insights are invaluable to our portfolio."
PE Firm · $20B in AUM
"The behavioral incentives they designed with our new compensation plans help us exceed our plan by $1M in the first month."
PE-Backed Accounting Firm · $20M Revenue
"I hired Skybridge Data shortly after taking a new position, and we've grown from a $7M company to over $22M in over two years."
Human Capital Management Company · $22M Revenue
"I've worked with Skybridge for close to ten years, and have hired them numerous times across our portfolio."
PE Firm · $8B in AUM
The Skybridge difference

What you're actually buying

An integrated commercial function, not a point solution
I deliver the full commercial stack — ICP, pricing, comp design, marketing ops, campaign activation — as one integrated engagement. The result is a GTM system that works as a unified architecture. Every component reinforces the others: the comp plan rewards selling the new pricing tiers, the campaigns target the ICP segments, and the dashboards measure what actually drives enterprise value. One practitioner, one data model, zero coordination tax.
Typical approach: 5 vendors · 12 months
AI-native delivery at team-scale output
Every engagement is built on AI workflows — market intelligence, data validation, scenario modeling, and deliverable production are all AI-augmented. This is how a single practitioner delivers the analytical depth of a full team. But the real value is what I leave behind: I design the AI-integrated operating system for your commercial function. The same workflows I use to deliver become the system your team inherits — performance management, data monetization, and campaign execution that continue generating value after the engagement ends.The same AI systems I use to deliver client engagements can also be designed and installed inside your organization as standalone commercial capabilities.
Output of: 5–10 person team
Principal-led, priced to value, every time
The person who scopes the work is the person who does the work. No handoff to junior staff. No delegation to offshore teams. Engagements are priced to deliverables and results, not billable hours. Investment is known upfront, timelines are fixed, and success metrics are defined before work begins.
MBB model: 4-person relay · hourly billing