Case Study: Auditoria.AI catches deal risks early and saves time with Sybill

A Sybill Case Study

Preview of the Auditoria.AI Case Study

Auditoria.AI cuts deal prep time by 60 minutes per call with Sybill

Auditoria.AI, an AI-native finance automation company, faced challenges with its sales team missing critical deal-killing signals during calls and spending excessive manual effort on administrative follow-up tasks. An Account Executive, Stephanie Utesch, was initially skeptical but sought a solution after losing a major deal due to an overlooked comment about business process outsourcing that made their product redundant.

By implementing Sybill, layered on top of their existing Chorus by ZoomInfo tech stack, the team gained an AI deal copilot. The solution automated call summaries and follow-ups, but more importantly, it provided deep deal analysis through features like pre-mortems and automated prompts. This allowed the sales team to identify risks early, improve qualification scores, re-engage stalled deals, and accurately forecast, ultimately saving hours of weekend work and preventing costly deal losses.


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