GenAI for process modelling excellence: PwC and SAP in action

In today's dynamic business world, organisations must quickly adapt to stay competitive. Traditional process modeling is often slow and resource-intensive. To address this, PwC Switzerland and SAP developed the Business Process Modelling AI (BPMN AI). This AI-powered tool uses generative AI with SAP Signavio and SAP BTP to streamline process modeling, allowing clients to efficiently capture, structure, and visualise their processes for real optimisation.

The challenge

Business process modelling is essential for driving operational excellence and continuous improvement. However, traditional approaches are often time-consuming, manual, and iterative – requiring extensive stakeholder interviews, long documentation cycles, and repeated validation steps. This not only delays transformation but also puts pressure on already limited resources. Against this backdrop, there is a growing demand for a faster, smarter, and less burdensome way to capture and improve business processes. Two client cases illustrate this need in practice: 

A large Swiss insurance company was looking to accelerate process documentation while reducing the burden on subject matter experts (SMEs). The goal was to efficiently model end-to-end L3 and L4 processes while minimising the time spent on interviews and reviews. In addition to capturing core process flows, the client wanted to enrich the models with baseline information, systems, risks and controls – without adding complexity or extending timelines.

Meanwhile, a Swiss university hospital needed to document complex clinical and administrative procedures without disrupting frontline staff. Focusing on the emergency department, the client sought a rapid, innovative approach to modelling business processes in both clinical treatment and patient administration – ideally within a single workshop per process, given the limited availability of medical personnel.

The solution 

PwC Switzerland’s GenAI-powered BPMN AI addresses the challenges of traditional process modelling by significantly reducing manual effort and accelerating the creation of structured, high-quality process documentation. By automating key steps in the modelling lifecycle, the tool enables clients to shift their focus from documentation to process optimisation and value creation.

BPMN AI integrates seamlessly with the SAP ecosystem and leverages tools such as Signavio, LeanIX, BTP, WalkMe, and Cloud ALM to enhance PwC’s methodology for efficient business process management. This setup supports scalable, consistent, and fast process design across diverse industries. The tool transforms voice and text input – from interviews, documents or transcripts – into structured BPMN 2.0 process models in real time. The output includes clear process descriptions and visual diagrams that are ready for validation, often during the same session.

Key features include:

• voice-to-text and text-to-insight conversion in multiple languages
• automated BPMN 2.0-compliant process modelling
• real-time feedback and validation during workshops
• tight integration with SAP’s business process tools
• minimal need for repeated stakeholder involvement

To illustrate how this works in practice, here’s how we collaborated with the two clients:

For the insurance company, we conducted structured interviews to map end-to-end process steps, define RACI responsibilities, assess FTEs, and identify risks and controls. Using BPMN AI, we transformed the interview content into process models directly after each session. This enabled the subject matter experts to review the output on the spot, clarify any uncertainties, and reduce the need for follow-up rounds.

At the university hospital, we held two parallel workshops with clinical and administrative staff. The process discussions were recorded and transcribed in real time. We used these transcripts as direct input to our AI-supported modelling pipeline, which produced the first drafts of the process models during the sessions. The models were immediately reviewed and refined, allowing for final sign-off within the same workshops.

This approach not only accelerated delivery but also improved collaboration, ensuring high-quality outcomes with significantly less effort.

The results

For both clients, BPMN AI enabled process discussion, modelling, and approval to take place in a single session. This significantly improved efficiency, supported a more agile and collaborative approach, and accelerated transformation without compromising quality or compliance.

The insurance company gained five fully modelled and signed-off core business processes at unprecedented speed. BPMN AI processed the input in real time, and in most cases only one meeting per process was required – cutting SME involvement time in half and allowing for an immediate feedback loop.

The university hospital received fully documented and ready-to-integrate processes for emergency care and administrative workflows in just five days. Each process was modelled and reviewed in a 90-minute workshop. The resulting documentation – summaries, process descriptions, and visual models – was delivered directly for integration into the hospital’s process management environment, allowing staff to focus on patient care. 

In addition, the clients reported that the new approach helps them manage their workload more effectively and collaborate more seamlessly with colleagues. They highlighted a shift towards more fulfilling tasks, the adoption of new ways of working, improved productivity, and a noticeable improvement in customer service.

With BPMN AI, PwC Switzerland helps organisations transform process modelling from a time-consuming necessity into a strategic enabler. By combining human insight with advanced technology, we enable faster decision-making, more efficient operations, and a stronger foundation for continuous improvement. This approach not only accelerates transformation but also empowers teams to work smarter and drive meaningful, lasting impact across the organisation.