Forecasting breaks down because the world moves faster than the forecast cycle. A sales wobble starts on Monday. A supplier delay lands on Tuesday. A key cost rises on Wednesday. By the time the finance team has pulled the data, rebuilt the forecast, checked the numbers and prepared a version for leaders, the business may already be making decisions with last month’s view. That gap is the real problem. Vena’s 2026 research reports that 52% of organisations have revenue foreca

AI scenario planning helps FP&A teams move beyond static forecasts by continuously simulating risks, updating assumptions, and linking financial outcomes to timely management decisions

Only 11% of mature FP&A teams use rolling forecasts — even with the tools, skills, and data to do so. Four planning skills, six market signals, and two deep-use prompts for building continuous planning architecture. Issue #36 of Finance AI Digest.

Discover how Microsoft Copilot FP&A automates data prep, forecasting, and reporting — with prompts, use cases, and governance guidance for finance teams.

Artificial intelligence is no longer just a buzzword in finance. For FP&A teams, AI is reshaping how work gets done, moving beyond simple automation to delivering real insights and freeing analysts from repetitive tasks. I want to share how finance use AI in practical ways that save hours, not just minutes, and help teams focus on what matters most: making informed decisions. AI-generated financial dashboard with rolling forecasts AI-generated rolling forecasts and financial