From invoice disputes to warehouse exceptions, explore how SAP Joule Assistants and Agents support enterprise workflows. Learn about practical use cases, customer results, and the controls needed for agentic AI adoption.
A customer disputes an overdue invoice. A supplier warns about a delayed delivery. A warehouse transaction fails, leaving an employee to investigate the error before processing can continue.
These situations have something in common: resolving them often requires information from several systems and the involvement of multiple employees. SAP Joule is evolving to support this work through specialized AI agents that can investigate problems, coordinate activities, and perform authorized actions.
Short answer: SAP Joule AI use cases include financial dispute resolution, supplier sourcing, supply chain planning, production order processing, warehouse exception handling, employee onboarding, lead qualification, and customer service. Joule Assistants coordinate specialized AI agents to retrieve information, analyze problems, recommend next steps, and execute supported activities. The level of automation depends on the selected agents, connected applications, and business controls.
At SAP Connect 2026, SAP presented new capabilities that expand the role of AI agents in enterprise operations. The company is also rolling out Joule Work, a unified workspace where employees can access business information and initiate workflows involving multiple applications. SAP's AI Release Highlights Q3 2026, published on October 26, confirms that phased general availability is underway for many Joule Assistants. However, individual capabilities still have different product, licensing, and access requirements.
We've examined how these developments apply to everyday business processes, the results companies have reported, and what enterprises should consider before giving AI agents greater responsibility.
How SAP Joule Supports Agentic Workflows
When SAP first introduced Joule, employees could use natural language to retrieve information, navigate applications, and complete supported tasks. These capabilities remain useful, but enterprise processes frequently involve several related activities that a single interaction cannot resolve. Joule Assistants and specialized AI agents extend this assistance to multistep workflows.
According to SAP's Q3 2026 release highlights, Joule Assistants coordinate specialized agents using relevant business context, while the agents perform supported tasks through authorized tools and enterprise data. Some agents retrieve or analyze information, while others can execute supported business actions. The scope of those actions depends on the available functionality and permissions in the connected applications.
SAP Joule AI Use Cases Across Business Functions
SAP is introducing agents for activities across finance, procurement, supply chain management, manufacturing, HR, and customer experience. The most useful scenarios are those where employees repeatedly investigate exceptions, gather information, or coordinate steps across business applications.
The following examples show how these capabilities can work in practice.
Finance: Investigating disputes and closing financial periods
Accounts receivable teams spend considerable time understanding why customers haven't paid. The reason may involve a disputed quantity, an incorrect invoice, an unresolved service issue, or a discrepancy in the account records.
SAP's Accounts Receivable Assistant supports collection worklist preparation, account analysis, dispute handling, customer communications, and recommendations for follow-up activities. For example, an employee investigating a disputed invoice may need information from billing, customer service, and previous correspondence. Specialized agents can contribute to different parts of the investigation, with the assistant coordinating the supported activities.
SAP's October 2026 release highlights describe agents for preparing collection accounts, analyzing receivables, managing disputes, and organizing customer outreach. Phased general availability of the assistant is underway.
The same approach is being applied to other financial processes. The Accounts Payable Assistant supports payment inquiries and clearing activities, while the Financial Closing Assistant coordinates selected tasks involving journal entries, accruals, reconciliation, anomaly detection, and financial analysis.
For finance teams, these applications can reduce the effort needed to investigate discrepancies and prepare the information required for a decision. Actual postings and adjustments still depend on the supported SAP functionality and the company's financial controls.
Supply chain: Responding to disruptions before they escalate
A supplier delay or an unexpected increase in demand can leave inventory coverage uneven across locations and put customer delivery commitments at risk. Supply planners need to identify which orders may be affected, assess alternative sources of supply, and understand the trade-offs between service levels and inventory investment.
SAP's Supply Chain Planning Assistant supports these decisions through specialized agents. The Exception Management Agent helps identify critical planning issues and their underlying causes, while the Inventory Investment Allocation Agent recommends stock targets based on service-level requirements and working capital considerations. The Supply Chain Planning Orchestration Agent coordinates activities across the planning workflow.
Scenario planning in SAP Integrated Business Planning also allows planners to compare supply alternatives against demand, sales orders, and operational KPIs before selecting a response. According to SAP's October 2026 announcement, Takeda Pharmaceuticals plans to use the Supply Chain Planning Assistant to identify likely causes of planning issues and suggest corrective actions.
Procurement: Preparing sourcing events and negotiations
Supplier sourcing involves more than comparing prices. Procurement specialists need to evaluate commercial terms, delivery conditions, supplier risks, and other requirements before deciding which offer is suitable.
SAP's Sourcing Assistant supports activities throughout the sourcing process. The Sourcing Event Agent helps prepare sourcing events and RFx documents based on buyer requirements. Once suppliers respond, the Bid Analysis Agent evaluates offers across cost, quality, and risk, highlighting trade-offs between competing bids. The Sourcing Negotiation Agent then uses bid data, market information, and company-defined rules to prepare negotiation strategies and counteroffers.
Consider a sourcing event involving several suppliers. One offers a lower price but requires a longer lead time, while another provides more flexible delivery conditions at a higher cost. The procurement specialist can use the analysis to decide which trade-offs are acceptable and whether either offer warrants further negotiations. Commercial decisions remain subject to the company's rules and approvals.
Novartis has co-developed and launched a pilot of the Joule Sourcing Assistant. At SAP Connect 2026, the company explained that it expects AI agents to reduce manual sourcing work, allowing procurement specialists to focus more on strategy and supplier relationships. Its anticipated benefits should not be confused with measured enterprise-wide results. Phased general availability of the Sourcing Assistant is now underway. The functionality available to a particular customer depends on the supported SAP environment and entitlements.
Manufacturing: Validating and releasing production orders
Production order release requires a different set of decisions. Before work can begin on the shop floor, planners must confirm that the required components are available and that work centers have sufficient capacity.
In SAP Cloud ERP (SAP S/4HANA Cloud Public Edition), the Joule-powered Production Planning and Operations Agent supports these checks within the Manage Production Orders app. It can evaluate up to 20 production orders at a time, identify missing prerequisites, and propose rescheduling options when material or capacity constraints prevent release.
The planner reviews the findings and any proposed adjustments before confirming the release. The agent then executes the release and updates the production order statuses. This guided workflow reduces the manual effort involved in checking orders individually while keeping the final release decision under human control. SAP describes the process in its AI-assisted production order release documentation.
Logistics: Resolving warehouse exceptions
Warehouse employees and SAP support specialists regularly deal with errors that interrupt transaction processing. An SAP Extended Warehouse Management (SAP EWM) queue error, for example, may prevent a goods receipt, stock posting, or delivery-related transaction from being processed. Resolving it usually requires identifying the cause, applying the appropriate correction, reprocessing the affected message, and verifying the result.
At SAP Connect 2026, LeverX demonstrated its custom EWM Autonomous Queue Resolution Agent, built on SAP BTP using Joule Studio. The agent handles queue exceptions according to their complexity and authorization requirements. LeverX won the SCM Partner AI Agent Showdown with this solution.
For known errors with an approved fix, the agent can apply the permitted correction and reprocess the affected message. Cases requiring additional authorization are referred to the responsible employee, while unfamiliar or complex issues are escalated to an SAP specialist with relevant diagnostic information. This approach could reduce repetitive troubleshooting, although the demonstration does not establish its effectiveness in a live customer environment.
SAP's standard Logistics Assistant supports other warehouse and logistics activities, including workload optimization, fixed-bin replenishment, batch optimization, and material reservations. According to SAP's Q3 2026 release highlights, its general availability is underway in phases.
HR: Coordinating onboarding and employee support
Onboarding involves several departments. HR prepares employee information, managers organize introductory activities, and other teams may be responsible for training or access arrangements.
When several employees join simultaneously, tracking tasks and identifying delays can take considerable time. The Onboarding Assistant in SAP SuccessFactors helps coordinate activities through specialized agents. The Onboarding Task Management Agent supports task tracking across HR, managers, and new hires, while the Task Creation Agent helps prepare additional activities when requirements change.
According to SAP's Q3 2026 release highlights, the Onboarding Assistant is being made generally available in phases. Other Joule Assistants support HR administration, employee inquiries, payroll validation, and development activities. For example, the Payroll Explanation Agent, part of the HR Service Assistant, helps employees understand their pay statements. These capabilities serve different users and processes. A payroll administrator investigating a calculation issue has different requirements from an employee asking about a deduction.
For a more detailed examination of AI applications across recruiting, onboarding, learning, and employee development, see our article on SAP Business AI in HR.
Sales and customer service: Qualifying leads and handling cases
Sales teams often spend time researching prospects before determining whether they represent suitable opportunities. In SAP Sales Cloud Version 2, the Deal Qualification Assistant coordinates agents for lead enrichment, qualification, conversion, and routing. The supported workflow can gather prospect information, evaluate relevant criteria, and prepare the transition from a qualified lead to an opportunity. For example, when a B2B company receives an inquiry from an unfamiliar organization, the assistant can help the sales team assemble context and decide whether follow-up is appropriate.
Customer service offers a related application. When a customer reports an incomplete delivery, a service employee may need to review the order, shipment information, and previous communications before preparing a response. In SAP Service Cloud, the Case Management Assistant coordinates agents that gather case information, recommend actions, and support processing activities. According to SAP's Q3 2026 release highlights, phased general availability is underway for both assistants.
Other customer-facing applications include marketing campaign preparation and content coordination. The Campaign Assistant and Content Assistant are also entering phased general availability, although access remains restricted to eligible Early Adopter Care customers. Before planning an implementation, organizations should verify the supported product version, feature availability, and applicable entitlements.
Other applications: Asset management, retail, and development
SAP is introducing agentic capabilities in other areas as well. In asset management, the Asset Operations Assistant supports maintenance requests, equipment insights, planning, and work follow-up. For example, a technician reporting unusual equipment vibration can provide the initial information through natural language, while related agents help maintenance teams investigate and plan the response.
In retail, SAP has introduced an Order Reliability Agent for SAP Order Management Services as a beta capability in Q2 2026. The agent monitors orders for potential failures or delays and can recommend corrective actions or execute them automatically where supported. Developers can also use Joule for Developers to assist with ABAP tasks. The SAP S/4HANA Custom Code Migration Agent supports migrations to SAP S/4HANA by running ABAP Test Cockpit checks and addressing compatibility issues through automated quick fixes and AI-powered code remediation. Developers review the changes before activating the updated objects.
These applications have different technical requirements and levels of maturity. Organizations should verify the current availability of the specific capability they intend to implement.
Working Across SAP and Non-SAP Applications
Employees often need information from several applications to complete a single task. SAP is extending Joule's capabilities across these environments, although the way employees interact with AI depends on where they are working.
Joule Work provides an AI interface where employees can describe their goals, access relevant information, and work with assistants across connected systems. The Joule Action Bar, powered by WalkMe, brings contextual assistance directly into supported SAP and non-SAP applications. It uses information from the active screen to provide guidance and recommend relevant actions. SAP introduced this capability under its Early Adopter Care program in Q4 2025. SAP's Q3 2026 AI release highlights also describe the supporting technologies that extend Joule Work's capabilities across enterprise systems.

Separately, SAP has completed bidirectional integration between Joule and Microsoft 365 Copilot. Employees can access supported Joule capabilities through Microsoft 365 Copilot and bring Microsoft-powered insights into Joule. This allows them to work with business information across the two environments without manually transferring every piece of context.
These capabilities depend on the applications connected, the functionality supported, and the permissions configured for each user. Access to an AI assistant does not automatically provide access to every business transaction or data source. Organizations planning cross-system workflows also need to address the underlying integration requirements, which we discuss in our SAP integration guide.
Tailoring SAP Joule With Joule Studio
Companies may have proprietary workflows, custom SAP objects, or internal rules that standard Joule Agents do not fully address. Joule Studio provides tools for developing custom agents that work with these requirements, as well as reusable skills for defined operations. SAP describes both development approaches in its October 2026 AI release highlights.
"For me, the real value of Joule Studio is the freedom it gives companies to build agents around the processes that matter most to their business. Instead of being limited to standard use cases, customers can create agents tailored to their own workflows, data, and systems, and make them available through Joule as a central interface for agentic solutions across their SAP landscape."
Vitali Usau, Head of Innovation and Mobile, LeverX
Consider a procurement assistant that needs to explain why a supplier failed a qualification check. The answer may depend on company policies, supplier records, and specific compliance criteria. A custom solution could retrieve the relevant information and prepare an explanation grounded in approved corporate documents.
Access to those documents, however, does not guarantee that the agent will apply every business rule correctly. Approval thresholds and other critical restrictions should be enforced through the appropriate application logic and authorization controls.
Custom agents may also require connections to external applications or internal services. Their design depends on the interfaces, data sources, and business activities involved. SAP confirmed that phased general availability of Joule Studio is underway. The platform's capabilities and technical requirements continue to evolve, so development teams should check the supported features before finalizing an architecture.
We discuss Joule Studio, SAP Knowledge Graph, orchestration, and related technologies in more detail in our guide to the SAP Business AI Platform.
Measuring the Impact of SAP Joule AI Use Cases
Different workflows require different measures of success. The following KPIs can help organizations establish a baseline and assess the impact of selected SAP Joule capabilities.
|
Business function |
Business problem |
SAP Joule capability |
Potential KPI |
|
Finance |
Time-consuming invoice disputes |
Accounts Receivable Assistant |
Average dispute resolution time |
|
Supply Chain |
Delays in resolving planning exceptions |
Supply Chain Planning Assistant |
Planning exception resolution time |
|
Procurement |
Lengthy evaluation of supplier bids |
Bid Analysis Agent |
Time to complete bid evaluations |
|
Manufacturing |
Delays in production order release |
Production Planning and Operations Agent |
Average production order release time |
|
Logistics |
Repeated warehouse queue errors |
EWM Autonomous Queue Resolution Agent (LeverX demonstration) |
Average queue exception resolution time |
|
HR |
Delays in completing onboarding activities |
Onboarding Assistant |
Average onboarding task completion time |
|
Customer Service |
Time spent investigating customer cases |
Case Management Assistant |
Average case handling time |
These are suggested measurement criteria, not reported performance improvements. Actual results depend on the implementation, process scope, and baseline.
What Business Results Are Companies Reporting?
The potential benefits of SAP Joule depend on the task, the existing process, and how the technology is implemented. Some organizations are already reporting measurable improvements, while others are still piloting or preparing new agentic capabilities.
The following examples illustrate the value companies have reported from specific implementations.
Faster financial reporting: LeverX customer project
LeverX implemented a Joule-enabled financial reporting solution for a large U.S. company in the retail and distribution sector. The implementation connected SAP Joule with SAP S/4HANA, SAP BTP, SAP Datasphere, and SAP Analytics Cloud, allowing finance employees to request reports using natural language.
According to the LeverX case study, the customer achieved a 90% reduction in the time required to obtain financial reports. The result came from a customer-specific solution combining several SAP technologies. It demonstrates the value of making existing financial information easier to retrieve and analyze.
Less time spent troubleshooting: Doehler
Doehler, a producer of ingredients for the food, beverage, life sciences, and nutrition industries, is applying AI to logistics exception handling. According to SAP's October 2026 customer report, the company's Logistics Issue Resolution Agent identifies likely causes and recommends corrective actions.
Doehler reported that its logistics team recovered approximately one-third of the time previously spent troubleshooting. This is a customer-reported outcome, though. It should not be treated as a general benchmark for every logistics AI implementation.
Shorter resolution times: KNAPP
Warehouse automation company KNAPP has also used Joule Studio to build a custom assistant that helps employees identify and resolve problems without waiting for a specialist. SAP reported that KNAPP reduced issue resolution time by approximately 90% and time spent on documentation and training by approximately 80%. These results concern KNAPP's specific implementation and operational environment.
Taken together, the examples suggest that AI can deliver measurable value when it addresses a recurring problem with a clear baseline. They also show why companies should evaluate reported results in the context of the actual implementation rather than applying the same improvement percentages to their own business cases.
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FAQ
Treat the first three use cases as a shortlist of pilot candidates rather than a commitment to implement all three. Compare them against the same criteria: expected business value, availability of the required SAP functionality, data readiness, implementation complexity, and operational risk.
For each candidate, document the current performance baseline, the improvement you expect to measure, and any requirements that could prevent deployment. Prioritize scenarios with a clear business owner and a realistic path to production. If a promising use case depends on functionality your organization cannot yet access, keep it on the roadmap and select another candidate for the initial pilot.
Missing permissions, unavailable application actions, and inconsistent procedures across business units can prevent an agent from completing a transaction.
To identify these gaps before deployment, trace a representative business case from the initial request to its final resolution. Check whether every required data source, application action, approval, and escalation path is available. If a critical step cannot be supported, resolve the gap or narrow the initial scope before proceeding.
A business process owner should be accountable for the outcome, including the decisions the agent is expected to support and the quality of its results. IT should own the technical environment, integrations, monitoring, and incident response.
An AI or automation center of excellence (COE) can establish common standards for agent development, evaluation, security, and lifecycle management. Organizations without a formal COE can assign these responsibilities to a cross-functional governance team. Before go-live, agree on who can approve changes to the agent's behavior, suspend automated execution, and resolve cases escalated by the system. These responsibilities should be documented rather than left to individual project teams.
Set boundaries for individual actions, particularly those that modify business data. Specify which objects an agent can change and what transaction limits apply.
For each action, determine whether it can be reversed, how to recover from a failed or partially completed transaction, and how duplicate execution will be detected or prevented. Enforce these safeguards through application rules and API controls rather than relying on agent instructions alone.
Build a test set using real, previously resolved business cases with known outcomes. Include routine transactions, unusual exceptions, incomplete information, and situations where the agent should stop or request assistance.
For workflows that execute actions, review which tools the agent calls, whether it selects the correct operation, and how it responds when a transaction fails or an approval is rejected. Test write operations in an appropriate nonproduction environment, including recovery and duplicate-prevention scenarios.
Agree on acceptance criteria before testing begins. Business process owners should approve the observed results, with particular attention to incorrect actions and failures that could affect financial records, operational processes, or customers.
Maintain a record of each custom skill's business owner, purpose, connected APIs, required permissions, and dependencies on SAP objects or external services. This makes it easier to identify which components may be affected when an application or business process changes.
Updates to SAP releases, API interfaces, authorization roles, and company procedures should trigger an assessment of the affected skills. Version control and regression testing help teams verify that existing functionality still behaves as expected. Monitor execution failures, employee overrides, and recurring exceptions after deployment. If a change introduces unacceptable behavior, the team should have a documented procedure for rolling back the update or temporarily disabling the affected skill.
Putting SAP Joule Use Cases Into Practice With LeverX
Bringing SAP Joule into enterprise workflows requires expertise in SAP applications, business processes, and system integration. LeverX helps organizations implement SAP Joule capabilities, connect them with existing systems and enterprise data, and develop custom agents using Joule Studio and SAP Business Technology Platform.
Our team also supports workflow testing, deployment, and ongoing improvements as business requirements and SAP capabilities evolve. This helps organizations incorporate AI assistance into everyday operations while maintaining control over business-critical processes.
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