In an era where recurring revenue, usage-based pricing, and complex contracts are the norm, traditional billing systems and manual processes are no longer sufficient to protect margins. This demo session addresses this challenge head-on by showcasing how AI can systematically identify, prevent, and recover revenue that typically slips through the cracks. The session positions AI not as a bolt-on analytics tool, but as an integrated intelligence layer embedded throughout the order-to-cash lifecycle—from quote configuration to invoicing, collections, and revenue recognition.
During this AI Native Solutions Tech Showcase, Apurv Bansal, CEO & CFO at Zenskar, joins Kevin Appleby, COO at GrowCFO and Tech Showcase Host, to demonstrate how an AI-native architecture can transform complex billing operations into a scalable, low-error, and insight-rich engine for growth. The discussion focuses on practical use cases: detecting misaligned pricing, catching configuration errors before they reach the invoice, automating adjustments, and giving finance leaders real-time visibility into revenue health. Attendees gain a clear picture of how AI-driven order-to-cash can reduce leakage, shorten close cycles, and support more sophisticated go-to-market models without adding headcount.
Highlights:
- Explores why legacy billing and order-to-cash stacks fail under modern, usage-based and subscription models, leading to hidden revenue leakage.
- Demonstrates how Zenskar’s AI-native platform identifies and prevents revenue leakage across quoting, billing, and collections workflows.
- Showcases real-world use cases where AI flags underbilling, discount misconfigurations, and missed usage events before they impact reported revenue.
- Highlights how finance and RevOps teams can gain real-time visibility into ARR, MRR, and leakage trends through AI-driven analytics and alerts.
- Explains how AI automation reduces manual reconciliations, accelerates financial close, and improves audit readiness and compliance.
- Discusses the strategic role of AI-native order-to-cash in supporting scalable growth, complex pricing strategies, and investor-grade reporting.
