Finance teams are under pressure to move faster. Yet, most still rely on fragmented tools, manual reconciliations, and static reports. As a result, the month-end close cycles drag. Insights arrive late. And decision-making suffers. Therefore, the shift toward AI-native ERP is not just a technology upgrade. It is a structural change in how finance operates, reports, and scales.

In this webinar, we break down what AI-native ERP reporting actually means. First, we explore capabilities such as multi-entity consolidation, multi-currency reporting, and custom dimensions with real-time drill-down to transaction-level detail. Next, we examine how AI agents are transforming the close process. From automated accrual drafts to missing entry detection and structured close orchestration, finance teams can reduce manual effort while improving accuracy.

Finally, we analyze how conversational AI unlocks new operating models for finance. Teams can generate flux analysis, build board-ready slides, and automate recurring workflows on demand with a full audit trail. In addition, we cover ASC 606 revenue recognition across subscription, milestone, and usage-based models using contract ingestion and dynamic GAAP/non-GAAP reporting. We also evaluate how modular AI-native ERP implementations compress timelines and accelerate time-to-value compared to traditional rollouts.

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