At the 32nd AI FP&A Committee meeting on September 9, 2026, Ankit Chopra, Director FP&A & Cloud at Neo4j, delivered a presentation titled "Closing the Decision Loop: Agentic AI and Conversational Interfaces in Action."

Ankit shared a practical example focused on a common problem in finance: decision latency — the gap between spotting an issue and taking action.

Using a practical cloud spend management case, Ankit demonstrated a prototype that integrates data, forecasting, AI reasoning, and human approval. The approach helped reduce the time needed to investigate and respond to some issues from around 10–12 days to under four days. Importantly, AI did not make critical decisions independently; human approval remained an essential part of the process.

Ankit stressed that successful AI implementation does not start with technology alone. It starts with the basics: good data, a small and clearly defined use case, and explainable results. Rather than replacing existing systems or people, agentic AI can connect information, suggest actions, and help finance teams respond more quickly. 

The presentation led to a lively Q&A, with the Committee members exploring practical questions around human-AI boundaries, governance, ROI, integration with planning tools, knowledge graphs, and the future of autonomous finance. The overall takeaway was clear: agentic AI can help FP&A become faster and more responsive, but its real value depends on how well it is designed, governed, and integrated into decision-making.