In the age of intelligence, every company faces the same question – not if AI will change their business, but how fast they can realize value from it. Most organizations are experimenting – but very few are scaling. The challenge today is AI value realization: how to move from pilots to measurable outcomes.

Join this session to learn how SAP realizes value from AI through the AI Flywheel: by connecting business processes, data and AI in a reinforcing flywheel. Using data from business processes to provide AI with business context for superior outcomes. By bringing AI into the business process AI is no longer just about optimization, it is about transformation.

Throughout 2026 and beyond SAP will focus on three key themes:

• Joule as the new AI user experience.
• Embedded, extensible AI across the SAP Business Suite. 
• Bold, high-value industry AI use cases co-developed with our customers.

Of course all starts with process analysis. Which processes can benefit from AI and what are key drivers for that optimization? Efficiency, quality enhancement, reduction of manual tasks, et cetera.

Obviously, data is a key component for AI. Not just the raw master data or transactional data, but specifically semantically rich, connected data. I will talk on the Business Data Cloud as a data harmonization layer and on the SAP Knowledge Graph. 

Join me in this session to learn how SAP integrates AI into every aspect of her Business Suite and to see Business AI in action, from Joule to industry specific use cases.

In this session, we’ll showcase 4 practical GenAI solutions built on SAP that reduce manual effort, improve control, and accelerate operations across Finance and Risk at Booking.com:

1. OpenAR – Smart Accounts Receivable AI Assistant for Cash Allocation: An SAP S/4HANA Fiori application powered by GPT-4 that helps AR teams resolve unknown and unallocated payments. The assistant extracts meaningful identifiers from payment references and supports automated matching to the correct Business Partner and G/L account so postings can be completed faster and with fewer manual searches.

2. GenAI-Powered GRC FireFighter Log Summarization: An AI capability that generates clear, consistent, human-readable summaries of SAP GRC FireFighter activity logs. It helps reviewers spot critical actions more reliably, reduces time spent on documentation, and improves consistency and audit readiness in privileged access reviews.

3. Payments GenAI Agent – Natural Language Payment Investigations: A conversational assistant for Payments Operations, RegOps, Product, and Financial Systems teams to query payment, bank, and settlement status in plain language and instantly receive explanations, likely root causes, and recommended next steps. Built on SAP S/4HANA with MuleSoft integration, Langflow orchestration, and Gemini 2.0 for readable insights, it’s available via Slack and a chat app for fast self-service investigations at scale.

4. Intelligent Financial Orchestration – Zero-Touch Month-End Accrual Reconciliation: A GenAI-enabled solution that eliminates manual month-end reconciliation by extracting line items and batch splits from Randstad PDF invoices (Document AI) and grounding them to Beeline Excel exports and SAP HANA records (SAP Document Grounding). An automated engine reconciles sources, flags discrepancies, and generates a ready-to-post Accrual Excel—closing the visibility gap, reducing errors, and speeding up month-end close with auditable outputs.