How FP&A can make mid-year budget reallocation faster, evidence-based and less political by agreeing the rules before funding is at risk.
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A practical framework for moving FP&A from scenario-driven agility to AI-enabled orchestration and faster action.
On 22 September 2026, the 7th Munich FP&A Board and the 304th International FP&A Board meeting globally brought finance professionals together to discuss “Leading FP&A Change in the AI Era.”
How FP&A leaders can turn implementation into lasting adoption through people, proof, ownership and reinforcement.
How long does it take your FP&A team to move from spotting a problem to taking action? That gap — decision latency — was at the heart of our latest AI FP&A Committee discussion, where Ankit Chopra, Director of FP&A at Cloud at Neo4j, shared a practical case study showing how agentic AI can help shorten the path from insight to action.
A practical framework for measuring FP&A talent, AI agents, and human-agent performance separately in an AI-first finance function
Effective scenario planning starts by defining the business decision before Finance builds the model.
This Digest examines AI build-or-buy choices, scoping, business cases and decision governance.
AI is moving quickly into finance, but the real prize is not a faster forecast or a smarter dashboard. It is the ability to make better decisions while there is still time to act.
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