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The full guide, chapter by chapter. Start at the foundation or jump straight to the part you need.
- Part IThe FoundationWhy cash flow forecasting matters, the business case in euros, 24 months of clean history, bank connectivity, transaction categorisation, and ERP data: the groundwork that makes AI forecasting work.
- Part IIThe AIWhich AI models fit which cash flow categories, the agentic approach, human-in-the-loop autonomy, the role of the LLM as orchestrator, and AI security and data governance.
- Part IIIThe OrganisationMulti-entity and multi-currency forecasting, intercompany eliminations, centralised versus decentralised forecasting, AI as the quality layer, and the pitfalls that sink most projects.
- Part IVThe ValueTurning forecasts into decisions: excess cash, shortages, FX exposure, early warnings, the actuals-versus-forecast flywheel, forecast versioning, and scenario analysis.
- Part VThe FutureFrom recommendations to execution: how agentic AI turns treasury into a real-time, continuously optimising function, with humans setting the boundaries.