The Work,
Not the Pitch.

A large enterprise software platform had built significant market presence through technology partnerships — but the commercial architecture underneath had not kept pace with the program's scale. Revenue was being generated through multiple monetization models across hundreds of partners, but there was no unified framework governing how those relationships were structured, measured, or enforced. Manual processes handled what should have been automated, and cross-functional teams operated without a shared view of partner performance or contract status.

The business case for change wasn't complexity for its own sake. It was that the program couldn't grow without breaking. Every new partner required the same approval cycle regardless of size or risk. Revenue share was tracked outside the systems that generated it. And the data layer needed to support executive reporting and AI-assisted decision-making simply didn't exist.

The work: designed the end-to-end commercial architecture across partner tiers, monetization models, and category strategy. Mapped the manual handoffs creating capacity ceilings and compliance risk. Built the connected systems architecture spanning intake, contracting, revenue tracking, and partner analytics. Developed the ROI framework that aligned cross-functional investment behind the program — and created the data foundation that made intelligent automation possible downstream.

• Program capacity scaled without proportional increase in operational overhead
• Revenue leakage closed through connected billing and contract enforcement
• Executive visibility into ecosystem performance established for the first time
• Systems architecture positioned the program to absorb AI-assisted tooling as the next layer — not as a replacement for a broken process

A founder-led manufacturer with a strong market position and lean operations had reached a point where the tools and processes that worked at an earlier stage were creating friction rather than supporting growth. The challenge wasn't one broken system — it was a set of disconnected ones, each doing part of a job that should have been orchestrated. The founder recognized the gaps but not the solution, and didn't want to spend months becoming a software expert to solve it.

The engagement started before any vendor was involved. Working through how the business actually operated — where leads came from, how they were routed, how the team collaborated, what the sales motion looked like at each stage — made it possible to define what was actually needed rather than what vendors would sell. That clarity shaped every subsequent decision: what categories of software mattered, which features were essential versus noise, and what a fit-for-purpose solution looked like at this company's size and stage.

From there: a structured evaluation of the market across relevant vendors, a business-and-technology fit assessment that translated capability into operational reality, negotiation of commercial terms, and guidance through implementation. The owner made informed decisions without having to develop deep expertise in any of it — which was the point.

• Operational gaps identified and prioritized before any vendor conversation began
• Vendor evaluation grounded in business fit, not feature lists
• Commercial terms negotiated — not accepted as presented
• Implementation handled without creating a large internal project
• Owner stayed focused on the business throughout — zero learning curve required

A founder-led manufacturer serving professional end markets had grown steadily for over fifteen years on the strength of product quality and customer relationships. They'd never had a dedicated sales leader. The founder was still personally closing contracts, managing key accounts, and fielding inbound while simultaneously trying to plan for the next chapter of growth.

The risk wasn't that they'd fail to hire someone. It was that they'd hire the wrong profile — someone built for a transactional sales environment rather than the long-cycle, relationship-driven, compliance-sensitive motion their market requires. Professional purchasers in this space know renewal dates, care about turn time and inventory management, and buy on trust built over years. A quota-chasing sales archetype doesn't survive that environment.

The work: built the job architecture from scratch based on how buyers actually buy in their market, designed a structured interview scorecard targeting the behavioral signals that predict success in long-cycle B2B sales, ran the full candidate assessment process including culture immersion with the existing team, and designed the first-90-day onboarding plan tied to specific market segments and client relationships.

• Avoided the most common failure mode — hiring to a title rather than a role built for the actual market
• Delivered a structured scorecard the founder could use in every subsequent conversation
• Built onboarding around existing client relationships and renewal cycles rather than a generic ramp plan
• Created accountability structure tied to market-specific KPIs, not just top-line targets