Revenue ownership
The internal team needed to understand the revenue model instead of depending on an outside firm and a fragile workbook.
Case pattern
A cybersecurity software business selling into banks and financial-services customers relied on an expensive outside accounting firm and a large, fragile Excel revenue model that few people could understand. The work was to tie it out, map it into the system, and train the team to own it.
Strategic mandate
Engagement leadership: Executive Advisor, Revenue Transformation & Systems
Revenue transformation is sensitive because it sits at the intersection of customer contracts, accounting policy, systems, audit expectations, and executive reporting. In this case, the business also had a knowledge problem: the revenue model lived in a complex spreadsheet maintained by an outside firm, which made it expensive, fragile, and difficult for the internal team to understand or trust.
The internal team needed to understand the revenue model instead of depending on an outside firm and a fragile workbook.
Complex spreadsheet logic had to be tied out, mapped, and converted into reliable system behavior.
The team needed training so the process became understood, repeatable, and easier to operate.
The existing process depended on a massive Excel workbook that was difficult to maintain, frequently unstable, and not well understood across the business or the outside accounting firm managing it. That created risk: revenue logic was expensive to operate, hard to explain, and too dependent on a fragile tool.
The work was to move from spreadsheet-driven revenue management into a cleaner system model. That meant tying out the existing numbers with the accounting firm, understanding the logic, mapping the requirements into the system, creating a more stable process, and training the internal team so the knowledge moved back into the organization.
The work required moving carefully between the outside accounting firm's model, the company's revenue requirements, and the system design. The goal was not just to recreate a spreadsheet inside software. It was to understand the business logic, validate the numbers, map the behavior cleanly, and make the process understandable enough that the internal team could run it.
The value creation was revenue ownership. A complex, expensive, and fragile outside process became cleaner, more stable, more reliable, and easier for the business to understand. That gave finance a stronger foundation for revenue operations, reporting, audit support, and decision-making.
This case shows the ability to take a complex finance process that lived outside the organization, understand it deeply, validate it, map it into the system, and train the team so the business could operate with more confidence and less dependency.