SAP BTP
An SAP BTP use case is a business scenario where one or more BTP capabilities help solve a defined process, application, integration, data or automation problem. That distinction matters.
They are capabilities. A real use case looks more like: A company needs to extend an S/4HANA process for external suppliers without creating additional ERP-core customization.
or
A finance team needs to automate a manual approval process that currently spans SAP and an external application. The use case should therefore describe the business problem first and the BTP technology second.
Traditional BTP use cases have focused on application development, integration, automation, data and analytics. Those areas remain important. The platform is now also becoming more relevant to enterprise AI, Joule, AI agents and AI-enabled workflows. That does not mean every BTP project should become an AI project. For most organizations, the strongest opportunities still begin with practical problems such as technical debt, fragmented applications, manual processes, limited integration or business-specific application needs. AI should be added where it improves a clearly defined business process.
One of the strongest SAP BTP use cases is building business-specific functionality without adding unnecessary custom logic directly into the ERP core. An organization may need a capability that standard S/4HANA does not fully provide. Historically, that requirement may have resulted in another ERP customization. A BTP-based side-by-side extension can provide an alternative where the business capability should have its own lifecycle, user experience, scalability or integration model. For example, a company may need a supplier-facing application that uses S/4HANA business information but does not require suppliers to work directly inside the ERP environment. BTP can support that application while SAP remains the system of record for the underlying business process. The architectural goal is not simply to move customization elsewhere. It is to reduce unnecessary dependency on the digital core.
Enterprise processes rarely stay within one application. SAP may need to exchange information with CRM systems, HR platforms, customer applications, data environments, cloud services, external ERP systems or industry-specific software. BTP can provide an integration layer that helps these systems communicate through appropriate APIs, integration flows, events and governed connectivity. The most important decision is not whether two systems can technically connect. It is how they should connect. A strong architecture considers: system ownership, business process, data mapping, security, error handling and lifecycle management. For example, an order created in an external customer platform may need to move into S/4HANA, trigger downstream fulfillment and send updated status back to the customer system. That is not simply a connector problem. It is an end-to-end business-process integration problem.
Many enterprise processes still depend on spreadsheets, emails, manual approvals and repetitive handoffs between teams. BTP can help automate these processes when the steps are sufficiently understood and the required systems can be integrated. Typical scenarios may include approval routing, onboarding, exception management, business notifications or repetitive data movement. The strongest automation projects start by improving the process itself. Automating a poorly designed process simply makes the same inefficiency execute faster. A good BTP automation use case therefore asks: What work is repetitive, rules-based and measurable? If the process contains significant ambiguity or changing decision paths, an AI-agent use case may eventually be more appropriate.
Not every user needs access to a complete ERP application. A warehouse employee may need a task-focused mobile experience. A supplier may need only purchase-order and delivery information. A manager may need a small approval application. A customer may need visibility into order status without accessing SAP directly. BTP can support focused applications that expose the right information and actions to the right user. These applications can connect to SAP through governed APIs and integrations while presenting a simpler experience tailored to the business process. The value is not just a better user interface. The value is reducing unnecessary system complexity for the people performing the work. Relevant capabilities: CAP, RAP, SAP Build, Fiori/UI5, APIs
Some business processes need to respond when something happens rather than wait for a user or scheduled batch. Examples may include:
An event-driven architecture can publish an event when the business change occurs and allow other systems or services to respond asynchronously. This can reduce tight coupling between applications and avoid constant polling. However, event-driven architecture should not be introduced simply because it is modern. The business must genuinely benefit from event-based communication.
BTP can also support line-of-business scenarios where information needs to be brought together across processes and systems. Finance teams may need better visibility into planning, forecasting, cash flow, financial close or operational exceptions. Business leaders may need information from both SAP and external platforms. The technical solution can combine integration, data services, analytics and application capabilities depending on the problem. The key question is not:
Which analytics tool should we deploy?
It is: What decision is currently difficult because the required information is fragmented or delayed? That business question should drive the architecture.
Enterprise data often exists across ERP systems, external applications, operational platforms and cloud environments. A BTP-related architecture can help connect and govern this information so it becomes easier to use across applications, analytics and AI-enabled processes. The challenge is not simply moving more data. Organizations need to understand:
This is especially important for AI. AI experiences become unreliable when business context is fragmented or poorly governed. BTP can be part of the architecture that connects applications and business information, but data quality and ownership still need to be solved.
SAP's current AI direction makes Joule and AI agents increasingly relevant to BTP discussions. Agentic AI can be useful when work involves reasoning, exceptions, multiple systems or changing paths toward a business goal. For example, an agent may need to gather information from several systems, analyze the situation, choose an appropriate tool and recommend the next action. This is different from a conventional workflow where every step is already known. A dynamic process involving reasoning may become an agent candidate. The strongest AI use cases have: a clear business goal, reliable data, governed system access, measurable outcomes and defined human oversight.
Many valuable BTP scenarios cannot be solved by one service alone. Consider employee onboarding. The process may begin with an HR event. That event may trigger an integration. The integration may start a workflow. The workflow may create requests in several systems. Managers may receive an approval application. Notifications may be sent automatically. Analytics may track completion. That single business use case may involve: integration + automation + applications + data working together. This is why BTP strategy should not be designed as a list of disconnected products. The architecture should follow the complete business process.
The correct architecture depends on the customer's SAP landscape, business process, data, security, integration dependencies and operating model.
| Business Requirement | Potential BTP Direction |
|---|---|
| Extend S/4HANA while reducing core customization | Side-by-side application / approved extensibility |
| Connect SAP with third-party applications | Integration Suite / APIs |
| Automate a predictable business process | SAP Build / workflow automation |
| React to business events | Event-driven integration |
| Build focused business applications | BTP application development |
| Connect information for analytics | Data and analytics architecture |
| Support adaptive reasoning-based work | Joule / AI Agent |
| Control growing BTP adoption | Security and governance |
A good use case should answer more than:
Can BTP do this?
The stronger question is:
Should BTP do this?
A practical evaluation should consider several factors.
Organizations often identify many potential BTP opportunities. The challenge is deciding which to implement first. A useful prioritization model considers two primary factors: Business Value and Implementation Readiness
This creates an opportunity to demonstrate value while keeping implementation risk manageable.
| High Readiness | Low Readiness |
|---|---|
| High Business Value | Pilot First |
| Build Foundation First | Lower Business Value |
| Possible Quick Win | Defer / Reassess |
Consider an organization evaluating three ideas. Opportunity A Build a supplier application replacing a heavily customized ERP process. Business value is high, APIs already exist and the business process is understood. This may be a strong early BTP application candidate. Opportunity B Deploy an autonomous AI agent across finance, procurement and external systems. Potential value may be significant, but system integration, permissions and governance are not yet mature. This may require foundation work before implementation. Opportunity C Rebuild a small internal report because the team wants experience with BTP. The technical project may be easy, but the business value may be limited. It may not deserve priority. This is why use-case selection should be driven by value and readiness, not novelty.
A useful BTP strategy also needs to identify situations where the platform should not be used. Standard SAP Already Solves the Requirement Creating a custom application for functionality already available through standard SAP can increase cost and maintenance without adding enough value. A Smaller Extension Is More Appropriate Some requirements may be better handled through an approved in-stack extension rather than a separate application. The Business Process Is the Real Problem Technology cannot compensate for a process that is unclear or unnecessarily complex. Another Enterprise Platform Already Owns the Capability Not every non-SAP requirement needs to be moved into BTP. The Application Has a Very Short Remaining Lifecycle Modernizing an application scheduled for retirement may produce little return. The Business Value Is Not Clear A project should not exist simply because BTP capabilities are available. Good platform strategy includes knowing when not to build.
Starting with the Product “We purchased BTP, so what can we build?” is usually the wrong starting point. Begin with business problems. Treating Every Customization as a BTP Candidate Some should remain standard. Some may fit approved SAP extensibility. Others may no longer be required. Selecting the Most Complex Idea First A smaller high-value use case can build more confidence than an ambitious project with unresolved dependencies. Ignoring Readiness An AI or automation project may appear attractive but fail because APIs, identity, data or governance are not ready. Measuring Technology Instead of Business Impact The number of applications, APIs or automated workflows created is not automatically evidence of value. The measurement should connect back to the business problem.
A BTP initiative should begin by connecting business requirements with the existing SAP landscape. DesIDEA's current technology portfolio spans SAP, application development, integration, Azure/data capabilities, automation and Quality Assurance. That broader technical context can be valuable when a BTP use case involves more than one technology domain. The engagement should begin by understanding: what the business is trying to improve, which systems are involved, whether BTP is the right fit and what needs to be ready before implementation. Only after that should the solution architecture be selected. For DesIDEA, this page should eventually be strengthened with two or three verified BTP project examples rather than generic technology claims.
Enterprises often have more BTP ideas than they can realistically execute at once. A structured assessment can help turn that idea list into a prioritized roadmap. The assessment can evaluate: business value, BTP fit, architecture, SAP dependencies, integration requirements, data, security, governance, implementation complexity and organizational readiness. The expected output should identify:
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SAP BTP provides many technical capabilities. That does not mean every capability needs to be adopted. The strongest BTP roadmap begins by identifying where the organization has a real business problem, where BTP provides an architectural advantage, and where the required systems, data and governance are ready. The goal should not be:
Use more SAP BTP.
The goal should be:
Use SAP BTP where it creates measurable business value and a stronger long-term architecture.
Common use cases include S/4HANA extensions, SAP and non-SAP integration, workflow automation, custom business applications, event-driven processes, data and analytics scenarios, and selective AI-enabled workflows.
No. Integration is a major BTP capability, but the platform can also support application development, automation, data-related scenarios, security/governance and enterprise AI use cases.
BTP can support side-by-side extensions, integrations and applications outside the ERP core where that architecture is appropriate. Clean Core still depends on good extension decisions and governance.
Yes. BTP integration capabilities can support appropriate connectivity between SAP and third-party applications through APIs, integration flows, events and other governed patterns.
Yes. BTP can support side-by-side enterprise applications using development models such as CAP, RAP, SAP Build and relevant BTP runtime services depending on the architecture.
Yes. BTP can support workflow and process automation where the business process is understood and suitable for automation.
BTP and SAP's wider AI platform direction can support Joule, AI agents, applications and AI-enabled workflows. Agentic AI should be used where reasoning and adaptive execution are genuinely required.
Start with a business problem that has measurable value, clear process ownership, sufficient technical readiness and manageable implementation risk.
Share your landscape, priorities, and constraints. DesIDEA will help you define a practical SAP BTP path.