AI for Corporate Treasury

Introduction

• Where we are today and what the latest trends in AI are

Narrow AI use cases

• Cash flow forecasting models: how to improve and test forecasts

• Enterprise liquidity risk management: how to calculate financial KPIs based on financial statements and stress-test them

AI agents and automation of systems

• Using LLMs for structured and unstructured data

• Integrating agents in processes and with systems

• Showcase of examples using agents

Practical considerations

• For building business cases (privacy, operational risks, costs, etc)

This course is ideal for:

• treasurers interested in how AI can enhance their role

• those responsible for digital transformation or innovation in treasury

• finance business partners seeking to better support treasury teams

• treasury professionals with at least two years of experience in the industry.

As part of the course, you will receive:

• 60 days' access to the course recording and materials

• ACT Digital Credential to share with your network

• live Q&A with an industry expert

• optional follow-up with one of the trainers.

Piotr Kiepuszewski - Senior Manager at Zanders

Piotr is a treasury technology specialist with over 13 years' international experience delivering treasury transformation projects.

Having led more than 50 treasury engagements, he advises global organisations on treasury technology, cash management, payments and operating models.

He is also at the forefront of AI innovation in treasury, developing AI-powered solutions and helping professionals apply AI in real-world treasury