AI in Treasury
AI has rapidly become one of the most discussed topics in finance. Over 65% of CFOs say their teams already use it in some form. Yet on closer inspection, adoption is broad but still superficial. The real transformation of treasury through AI is then only beginning.
For teams ready to move from experimentation to implementation, the coming years will redefine how treasury data is analyzed, decisions are made, and liquidity is managed. This ebook is your roadmap.
What you will learn:
The 3 levels of AI maturity in treasury, and where the highest near-term ROI sits
9 concrete operational AI applications already deployed in treasury today
A pragmatic 30 / 90 / 365-day roadmap to move from pilot to group-wide industrialization
What You'll Learn
How AI Is Reshaping Treasury Work
This section maps the 3 levels of AI maturity in treasury — from tactical use of mass-market tools like ChatGPT, to structured adoption inside enterprise systems, to fully integrated proprietary AI built on centralized datalakes. It explains where most finance teams actually sit today, and why the middle layer is where the real near-term value is unlocked.
You'll see a side-by-side comparison of a treasurer's day before and after AI, and a clear framework for choosing the right battles: where to automate, where to augment, and where human judgment must remain protected.
9 Operational AI Applications in Treasury
This section walks you through nine concrete use cases where AI is already delivering measurable impact: autonomous bank transaction categorization, zero-touch reconciliation, real-time probabilistic cash forecasting, automated variance analysis, multi-scenario simulation, AI-optimized liquidity sweeping, smart AR recovery, intelligent payment fraud detection, and continuous board-ready reporting.
Each application details the operational challenges treasurers face today and how AI specifically helps — with quantified outcomes such as 95% automated bank journal entries, DSO reduced by 20% to 40%, and collection time cut in half.
A 30 / 90 / 365-Day Roadmap
This section provides a pragmatic implementation roadmap that any treasury team can follow without overcommitting. The first 30 days prove AI value in a controlled perimeter: one entity, one process, measurable time savings. The next 60 days move from automation to insight — predictive modeling, fraud shield activation, governance and team upskilling.
The 90-to-365-day phase covers group-wide industrialization: deploying AI across all subsidiaries, scaling predictive sweeping, and rolling out natural language query interfaces that allow the Board to query treasury data directly. By Day 365, your team should be spending 80% of its time on strategic advisory and only 20% on verifying AI-augmented data.
About Agicap
Agicap is the all-in-one platform for managing your entire cash flow with a single tool: cash management, forecasting, payment execution, supplier management, and collections.
Agicap enables companies to finance their growth by optimizing their working capital requirements and cash flow within groups. The platform improves financial performance by investing excess cash and reducing financial expenses. It boosts team productivity by automating cash management.
More than 8,000 companies in Europe and the United States trust Agicap to make cash flow a performance lever.
