It is a common and understandable assumption. SAP Signavio carries the SAP name, it ships with deep, ready-made connectors for S/4HANA and other SAP systems, and much of its marketing is oriented around the SAP ecosystem. If your first encounter with the platform was through an S/4HANA transformation programme or an SAP-led initiative, it would be entirely reasonable to conclude that Signavio is a tool designed primarily, or even exclusively, for organisations running SAP.
In practice, this assumption significantly underestimates what the platform can do and limits how organisations think about the role SAP Signavio can play across their broader technology landscape.
The SAP advantage is real, but it is not the whole story
It is worth acknowledging why the assumption exists in the first place. SAP Signavio Process Intelligence does have a genuine advantage when it comes to SAP systems. The standard connectors for S/4HANA, ECC, and related SAP modules are mature, well-documented, and include pre-built transformation templates that significantly reduce the time required to move from raw data to usable event logs. For organisations that run their core processes on SAP, this means the path from licence to first insight can be measured in weeks rather than months.
SAP Signavio Process Insights takes this further by offering out-of-the-box KPIs, best-practice checks, and industry benchmarks specifically for SAP processes like Purchase-to-Pay, Order-to-Cash, and Record-to-Report. For organisations looking to quickly baseline their SAP process performance, this is genuinely valuable and difficult to replicate manually.
But the convenience of these SAP-specific accelerators should not be confused with a limitation. The underlying process mining engine in SAP Signavio Process Intelligence is not restricted to SAP data. It works with any system that produces event logs, provided those logs can be extracted, transformed, and loaded into the platform.
How Signavio works with non-SAP systems
SAP Signavio Process Intelligence supports connectivity to a wide range of enterprise systems through multiple integration paths. For systems such as Microsoft Dynamics 365, Salesforce, Workday, and Oracle NetSuite, integration flows can be built using SAP Cloud Integration, which provides adapters to connect to third-party applications and expose data via the OData connector in Process Intelligence.
For systems without a standard connector or where more complex data transformations are required, SAP Data Intelligence Cloud offers a pipeline-based approach. Data can be extracted from virtually any source, transformed to meet the event log schema required by Process Intelligence, and pushed to the platform via the Ingestion API. This approach is particularly useful for organisations with custom-built applications or legacy systems that do not fit neatly into standard connector frameworks.
At bpmd, we have used SAP Signavio Process Intelligence successfully with Dynamics, Coupa, Oracle, and fully custom platforms. The SAP connections are undeniably convenient, but the non-SAP connections are equally viable and well proven in practice. The technical barrier to mining non-SAP processes is lower than most organisations assume.
The data lake as the real unlock
For organisations that want to scale process mining beyond individual systems and into a genuine enterprise capability, the most significant architectural decision is not which connectors to use but how to manage the underlying data.
This is where a data lake integration changes the picture entirely. A single connection to a centralised data lake, whether Azure Data Lake Storage, SAP Datasphere, or another platform, allows event log data from SAP and non-SAP systems to be consolidated into a single source of truth. Rather than building and maintaining individual connectors for each system, the organisation invests once in a data integration layer that feeds process mining at scale.
The practical implications of this are significant. An organisation running SAP for finance and supply chain, Dynamics for CRM, Coupa for procurement, and a custom platform for service delivery can mine all of these processes through a single instance of SAP Signavio Process Intelligence. End-to-end processes that span multiple systems, which is the reality for most large organisations, can be analysed as a continuous flow rather than as disconnected fragments.
This also addresses one of the most common limitations of process mining initiatives: the tendency to mine only what is easy to connect to, rather than what is strategically important. When the data integration infrastructure is in place, the decision about which processes to mine becomes a business prioritisation question rather than a technical feasibility question.
Why this matters for transformation leaders
The assumption that SAP Signavio is only for SAP has practical consequences that go beyond technology selection. It shapes how organisations think about the scope of their process management ambition.
If Signavio is perceived as an SAP tool, it will be used narrowly, limited to SAP-centric processes and governed by the SAP programme team. Process mining becomes a feature of the ERP transformation rather than an enterprise discipline. The BPM team’s mandate extends only as far as the SAP footprint, and processes that run on other platforms remain unmined, unmanaged, and unimproved.
If, on the other hand, the organisation recognises that SAP Signavio can support process mining across the entire technology landscape, the conversation shifts. The platform becomes the foundation for an enterprise-wide process management capability, one that is not limited by which ERP or operational system a particular process happens to run on. Process owners can be assigned to end-to-end processes regardless of the underlying technology, and the BPM team’s mandate extends to wherever the business needs visibility and improvement.
This is the shift we help clients make at bpmd. The systems our clients run have not been the constraint. Dynamics, Oracle, Coupa, custom platforms: all of these work with SAP Signavio when the integration is set up correctly. The real constraint is almost always organisational rather than technical. It is whether the organisation is ready to treat process mining as a strategic capability rather than a feature of a single system implementation, and whether it has the ownership, governance, and delivery capacity to turn enterprise-wide process insight into impact at scale.
For organisations already invested in SAP Signavio, the question is not whether the platform can support non-SAP systems. It can, and it does. The question is whether you are using it to its full potential, or whether the “SAP only” assumption is quietly limiting the value you extract from an investment you have already made.