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New pricing and product lines create a revenue recognition nightmare
Colt Starks, the Head of Finance at Gipper, a content creation platform, and his team lived in Stripe. Revenue recognition was simple enough when the team only had one product, but as they expanded their offerings, it was clear that their current set-up couldn’t handle additional complexity.
“Our lean accounting team spent so much time manually reconciling Stripe data, we needed to do more value-added things by automating that part.”
Gipper tried a vendor in the space that overpromised AI and under-delivered to automate their revenue accounting, but it quickly turned into a maintenance burden. The rules engine, driven by AI applying accounting rules, was unpredictable and needed constant attention. Accounting entries were unreliable and each change meant hours of manual review. In some cases rules tested for hours, deleted without a trace.
Implementation lagged far beyond the planned timeline, updates broke critical mappings, and support moved slowly. Even after going “live,” Colt’s team couldn’t trust the numbers. The total cost of ownership climbed, but automation ROI went negative.
As a forward thinking Head of Finance, he knew AI is only useful if the data it is trained on is accurate, compliant and fully contextualized. That’s when Colt decided to take a meeting with HubiFi.
“Before, we couldn’t even get a simple AR aging that tied out. It felt like we were always managing the platform instead of automating anything.”
Gipper needed deterministic accounting automation: a system that produces fully explainable, audit-ready results - every time. Deterministic automation, not probabilistic AI.
They also wanted confidence in long-term support and a partner with deep accounting DNA, not just engineers tweaking a rules engine.
HubiFi delivered all three:
“It was incredible to watch how fast we were able to get our data fully reconciled and compliant to our policies. Cody walked us through the entire implementation and helped us configure our instance to provide 100% accurate revenue recognition I can trust.”
Swapping out that high-maintenance rules engine with HubiFi’s accountant-built platform was a game changer. Gipper finally had revenue data they could actually trust and Colt could apply AI where it was most valuable - FP&A and reporting.
And the difference was immediately obvious:
“The experience between the two vendors could not have been further apart. HubiFi just works. And the numbers actually make sense without all the effort.“
Our lean accounting team spent so much time manually reconciling Stripe data with our previous vendor, we needed to do more value-added things by automating that part. We couldn’t even get a simple AR aging that tied out and it felt like we were always managing the platform instead of automating anything. With HubiFi, though, it was incredible to watch how fast we were able to get our data fully reconciled and compliant to our policies to provide 100% accurate revenue recognition I can trust.
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