A practical guide to choosing finance AI apps and platforms for forecasting, reporting, close management, accounts payable, cash management and governance—with examples, risks and implementation practices.

Finance can track AI spending, but the greater challenge is measuring the financial cost of decisions influenced by AI. Issue #42 explores how finance teams can assess review time, errors, delays, opportunity costs, and governance risks.

AI adoption is accelerating across finance, but investment alone does not guarantee results. Learn how a structured finance framework can measure AI’s impact on FP&A, improve decision-making, and connect technology adoption to measurable business value.

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

What if your finance team could test hundreds of future scenarios before making one critical decision? AI is making that possible.

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.

AI adoption in finance is growing, but measurable ROI remains low. Issue #35 explores the 3 shifts that led to better financial decisions

Explore how AI is transforming finance and FP&A, enabling smarter analysis, stronger decision-making, and more effective business transformation.

AI adoption is no longer enough. Explore how FP&A teams can turn AI, consumer signals and financial data into better forecasts, decisions and measurable business value.

Discover how AI is transforming finance in August 2026, with practical insights for FP&A leaders, finance professionals, founders, and executives navigating today’s digital landscape.

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

Explore 25 practical AI use cases transforming FP&A—from automated forecasting and reporting to scenario planning, insight generation, and smarter finance-team decision-making.

Artificial intelligence is transforming FP&A by automating reporting, improving forecasting, and streamlining finance workflows. Discover practical AI use cases that help finance teams make faster, smarter decisions. Find here AI tools for FP&A.