End-User Use Cases for Finance and Procurement (and the New Training Needs)
SAP’s expansion of Business AI is moving quickly from strategy to execution, with Joule at the centre of this shift. As AI becomes embedded within core workflows, organisations need to understand not only the technology but also the practical implications for users. This article explores real use cases, highlights further sources, and explains how iTrain can support effective adoption.
However, the focus is now moving beyond concept to practical use. Joule AI agents are increasingly embedded into finance and procurement workflows.
What are the real end-user use cases, and how should organisations train teams to work with them?
What Are Joule AI Agents in SAP?
Joule is SAP’s generative AI assistant, designed to work across your SAP applications. It provides contextual insights, recommendations, and automation within workflows.
(More detail is available from SAP.)
Unlike traditional automation, Joule interacts with users conversationally. It also connects data across systems to support decision-making. As a result, users no longer rely only on transactions. Instead, they engage with AI-driven guidance in real time.
According to SAP, Joule is central to its Business AI strategy. It is expected to expand across finance, procurement, and HR processes.
SAP Business AI Use Cases in Finance
Finance is one of the earliest areas to benefit from Joule AI agents.
For example, AI can support journal entry recommendations and anomaly detection. It can also assist with account reconciliation and financial close activities. In addition, predictive insights help identify risks earlier. This improves both accuracy and efficiency.
Research from McKinsey & Company shows that AI adoption in finance improves productivity and decision quality. However, these benefits depend on how users interact with AI. If users do not understand recommendations, value is unlikely to be realised.
SAP Business AI Use Cases in Procurement
Procurement is also seeing rapid adoption of AI-driven capabilities. Joule can support supplier selection, contract analysis, and invoice processing. It can also identify risks in supplier performance. Furthermore, AI agents can automate routine procurement tasks. This allows teams to focus on strategic sourcing.
According to Deloitte, AI is transforming procurement into a more data-driven function. Nevertheless, user understanding remains critical. Without proper training, automation may introduce new risks rather than reducing them.
The Shift in User Interaction
Joule AI agents change how users engage with SAP systems.
Previously, users followed structured processes and executed transactions manually.
Now, users interact with AI suggestions and insights. They must interpret outputs and make informed decisions.
This represents a shift from execution to judgement. Consequently, users require new skills. These include critical thinking, validation, and exception handling. PwC highlights that AI adoption depends heavily on user trust and capability Therefore, training must evolve alongside technology.
Why Traditional SAP Training Is No Longer Enough
Traditional SAP training focuses on navigation and process steps. While still relevant, this approach is no longer sufficient. Joule introduces dynamic and context-driven interactions. Users must understand not only how to act, but also why.
This creates new training requirements. Learning must include scenario-based exercises. Users should practice working with AI recommendations. In addition, training should explain how AI generates outputs. This builds confidence and reduces resistance.
iTrain’s experience across SAP programmes shows that adoption improves when training reflects real workflows. You can explore structured SAP training approaches here.
Supporting Adoption with SAP Enable Now and e-Learning
Digital learning tools are essential for supporting AI adoption.
SAP Enable Now provides in-system guidance and contextual help. This supports users as they interact with Joule. Further detail is available here:
In addition, structured e-learning reinforces understanding over time. It allows users to revisit scenarios and build confidence. You can explore digital learning approaches here:
Together, these tools support continuous learning. As part of a company-specific integrated training and change programme they will become embedded new behaviours into daily workflows.
Lessons from ERP Programmes
Experience across ERP programmes highlights a consistent theme.
Technology adoption depends on user readiness.
For example, iTrain case studies demonstrate that structured training improves outcomes across finance and procurement processes.
You can explore examples here:
In contrast, programmes that overlook training often face extended hypercare periods. These challenges typically relate to user confidence rather than system capability.
What Organisations Should Do Now
Joule AI agents are expanding rapidly across SAP environments. Organisations should prepare accordingly.
Firstly, identify where AI will impact finance and procurement processes. This helps prioritise training needs.
Secondly, update training strategies to include AI interaction. Focus on decision-making and validation. iTrain can help to ensure you adopt best practices specific to your organisation and business goals.
In addition, invest in digital learning tools. These support continuous adoption. Finally, align training with change management and testing. Integration is essential. Organisations that take this approach are more likely to realise the benefits of SAP Business AI.
Contact iTrain Today
Our approach combines role-based training, digital learning, and practical scenarios.
Whether you are exploring SAP Business AI or already in delivery, early preparation reduces risk.
To discuss your programme, contact iTrain today