Artificial intelligence is rapidly becoming a standard part of business processes – and Travel & Expense is no exception. During this webinar, we will focus on the AI features currently available in SAP Concur, how they can simplify approvals, expense control, and day-to-day work for employees and finance teams, and how they canbe practically used to increase efficiency, save time, and reduce errors.
We will present specific use cases – from automatic receipt capture and intelligent expense categorisation to the detection of duplicates and potential fraud. You will also learn how to prepare for using AI in SAP Concur, what needs to be correctly configured, and what the current limitations of this
technology are.
When: 14 April 2026, 10:00 – 11:00 CET
Where: online
Language: English
Registration fee: Free of charge
Agenda:
- Overview of current AI features in SAP Concur
- Practical examples of use within a company
- Tips on how to make the entire expense approval process more efficient and faster
- Recommendations on how to prepare for AI in Concur from both a process and data perspective
- Inspiration on how to use AI to reduce costs and increase control
Speakers:
- David Hankovský – David is a Manager in the Enterprise Technology & Performance team based in Prague, Czech Republic. With over 10 years of experience in SAP and a strong technical background, he has been involved in a wide range of projects covering various technologies, including – but not limited to – SAP Concur Travel & Expense, Coupa Travel & Expense, SAP ERP, and credit card services.
- Vladimír Valouch – Vladimír has been working at SAP Concur for almost ten years. He previously held roles as a Senior Data Scientist and Machine Learning Engineer and currently serves as a Manager in the ComplianceAI team. During his tenure, he has led a number of key initiatives, such as the deployment of the first transformer model into Concur Intelligent Audit, the creation of a multi-stage model for invoice processing, and the standardisation of more than 20 machine learning services.