About Adrian

Built credibility through execution, not pedigree.

15 years of GTM consulting across Fortune 500 to growth-stage. PE and VC firms managing $8B–$20B+ in assets have trusted the work across 20+ exits. The track record was built one outcome at a time.

Forged in execution.
15+
Years in GTM consulting
20+
Exits
3
PE exits driven by pricing
7/13
VC portfolio exits
01
The operator, not just the advisor

I exited 7 of 13 portfolio companies with a Venture Capital firm. That experience; watching companies succeed and fail from the cap table, not the advisory agreement; fundamentally shaped how I approach commercial transformation. When I build an ICP model or redesign a pricing architecture, I'm thinking like an investor, not a consultant.

The consulting work is grounded in operating experience. I helped a multi-location fitness brand scale to five locations, each a $2M+ build-out serving thousands of members. I built the commercial systems for a cell phone franchise that expanded to 42 locations while vertically integrating a component of its supply chain. Then I went onto SBI; a premier sales and marketing consulting firm; where I helped enterprise Private Equity and Fortune 500 companies solve complex sales & marketing challenges — before going independent.

Doesn't just advise PE-backed companies — operates as one. The difference shows up in every engagement.

This dual perspective; advisor and operator; means the work is always grounded in what's executable, what's measurable, and what drives enterprise value. Not what looks good in a slide deck. Not what just gets through the next stakeholder meeting.

02
How I think about the work

Every engagement starts with primary-source data; not inherited assumptions, not last quarter's board deck, not the CRO's intuition. I validate from the ground up: transaction data, pipeline forensics, customer behavior, competitive intelligence. The analysis is rigorous because it drives prescriptive action; not a report to review, but specific commercial levers to pull, sequenced for maximum impact on enterprise value.

Primary-source data validation
Every recommendation is built on verified data; transaction records, pipeline analysis, customer behavior patterns. Not inherited narratives, not secondhand assumptions. The foundation determines the quality of every decision that follows.
Constraint-first optimization
Start with what's real; budget, timeline, team capacity, market position. Then optimize within those constraints rather than presenting aspirational strategies that ignore operational reality. The best plan is the one that executes.
AI-augmented analysis
Advanced AI and analytics multiply output across market intelligence, data validation, scenario modeling, and deliverable production. This is how a single practitioner delivers the analytical depth and speed of a full team.
Iterative refinement
Models and strategies are tested, measured, and refined; not delivered as static decks. The work evolves with the data, not against it. Every iteration sharpens the commercial system toward measurable outcomes.
03
How I operate

AI tools augment every phase of the work; from market intelligence gathering to scenario modeling to deliverable production. This is how a single practitioner delivers the analytical depth and speed of a full team. But strategic judgment and execution accountability are human. The AI amplifies analytical depth. The thinking is mine. I also design AI-integrated operating systems for clients; the same workflows I use to deliver become the system your team inherits and continues running after the engagement ends.

Descriptive: What happened
Descriptive analytics tell you what already happened. I build this baseline in the first two weeks; transaction data, pipeline composition, channel performance, customer concentration. Necessary, but insufficient on its own. This is the foundation everything else is built on.
Diagnostic: Why it happened
Descriptive data shows symptoms. Diagnostic analysis identifies root causes; why conversion dropped, why margin compressed, why new logo acquisition stalled. Every initiative I scope is tied to a diagnosed commercial lever, not a symptom.
Predictive: What will happen
With the baseline established, I model scenarios; pricing changes, territory realignment, comp restructuring, funnel rebalancing. These are constraint-aware projections built on your actual data, your team's capacity, and your market position.
Prescriptive: What to do about it
This is where Skybridge operates and where most consultancies don't reach. I deliver sequenced action plans with the systems to execute them; comp plans, campaigns, dashboards, and operating rhythms already built to operationalize the strategy.
04
Where the work has been

The consulting practice spans the full range of commercial challenges PE-backed companies face; from $5M growth-stage companies that need their first real GTM architecture to $4B enterprises optimizing pricing across complex product portfolios. The engagements have crossed human capital management, SaaS, professional services, managed services, industrial technology, financial services, construction supply, and legal software.

The through line across 100+ engagements is the same: identify the commercial levers that drive enterprise value, build the systems to pull them, and make sure the outcome is measurable. Three of those engagements produced pricing transformations that directly supported PE exits at enhanced multiples.

The Results page has the specifics.

05
The network

Skybridge is principal-led by design; the person who scopes the work does the work. But capability extends beyond one practitioner through a curated network of strategic partners who operate with the same standards of rigor and accountability.

When an engagement requires specialized capability beyond the core GTM scope, I bring in partners; not subcontractors from a bench, but experienced operators I've worked with across multiple engagements who share the same commitment to measurable outcomes.

  • Interim and fractional leadership — for interim or fractional CRO, VP Sales, or VP Marketing capacity during transformation periods
  • Technology integration — for API integrations, platform connections, and technical implementations that support the commercial architecture; connecting conversation intelligence platforms to CRM systems, migrating sales infrastructure, or configuring new tools within the existing tech stack

The best way to evaluate fit is a conversation.

30 minutes. No pitch. Just a focused discussion about where the business is and what the right commercial lever might be.

Schedule a conversation →