Frequently asked questions

Scheer PAS: Agentic Process Orchestration is the platform for agentic enterprise transformation. It brings together workflows, data, APIs, and AI agents to operationalize process automation across complex organizations. With Scheer PAS, enterprises can architect scalable, agentic process environments, orchestrate unified execution across systems within a single platform, and govern autonomous operations with full observability to ensure transparency, compliance, and human control.

Agentic process orchestration means you do not treat AI as a separate experiment that sits next to your process landscape. You design and run processes where AI agents can act autonomously and goal oriented within defined guardrails, connected to real enterprise data and tools through integration and APIs. The result is unified execution across systems, with governance and observability so that autonomous operations remain transparent, compliant, and under human control.

Many organizations struggle with distributed data, complex application landscapes, and scalability limits in their IT systems. When data is isolated in departments or systems, AI cannot unfold its full effect because it cannot reliably access the context it needs. When ERP, CRM, MES, PLM, and IoT systems do not align, supply chains and core operations become difficult to run efficiently and to adapt quickly. Scheer PAS addresses these challenges by connecting data and AI through integration and API led connectivity, automating and synchronizing processes across systems, and enabling a flexible low code and pro code development approach that can evolve with business growth.

Traditional approaches often split process automation, integration, APIs, UI, and AI across multiple tools that are expensive, hard to maintain, and not interconnected. This creates fragmented delivery, different notations, and slow change cycles that require manual adjustments. Scheer PAS unifies process, integration, API, UI, and AI in one platform with a streamlined approach that is seamlessly connected. This supports rapid development, dynamic execution, and the ability to introduce AI agents as part of an architected and governed environment.

Process automation is the execution of business processes with reduced manual work and fewer media breaks across people, systems, and data. Typical goals include eliminating redundant manual tasks, reducing costs and errors, increasing speed and scalability, and improving traceability and compliance. The highest value comes from end to end process automation, where the complete process chain is orchestrated across all involved systems and steps.

Integration connects systems and data so that processes can run end to end, and so that AI agents can access the context and tools they need. In practice, integration covers data integration that synchronizes large volumes of data, application integration that connects software applications so they can share data and functions, and process integration that automates processes across multiple systems or even companies. Without this connected layer, AI remains limited to isolated information and cannot reliably drive autonomous, multi step execution.

Agentic AI refers to AI systems that can act with autonomy and goal oriented behavior, rather than only responding with static outputs. Agentic AI can plan and reason, break down complex tasks into multiple steps, and execute those steps sequentially. It can improve through experience and feedback, and adapt its behavior over time. In an enterprise context, agentic AI becomes most effective when it is connected to workflows, data, and tools, and when it operates in a governed environment with observability and human control.

An AI agent in Scheer PAS is designed to support autonomous, goal oriented work within business processes. It can handle complex scenarios, execute automated steps, and support adaptive behavior where appropriate. In Scheer PAS, AI agents are not isolated from operations, they are connected to process execution, integration services, and APIs so they can act where business value is created.

Scheer PAS is built to govern autonomous operations with full observability, ensuring transparency, compliance, and human control. In practice this is supported by monitoring, tracing, and analytics capabilities that make execution visible at the level of instances and services. This enables enterprises to run agentic processes with clear oversight, rather than creating blind spots where AI actions cannot be explained or controlled.

Scheer PAS connects AI agents to enterprise capabilities through the same integration and API foundation that orchestrates processes across systems. The platform supports tool access patterns where AI agents can interact with processes, integrations, APIs, logs, administration, and user contexts in a controlled way. This supports practical, operational AI where agents can do work, not just generate text, while remaining governed and observable.

MCP establishes a standardized way to connect AI systems to different data sources and tools through two way connections. It enables exposure of resources, tools, and prompts through MCP servers, and allows AI applications as MCP clients to connect to those servers. In the Scheer PAS context, MCP supports structured tool access so AI agents can operate with the right context and capabilities, connected to enterprise data and services.

Scheer PAS is a unified platform spanning process, integration and API, and optimization, built on a platform runtime foundation. It supports process design and automation, application development, integration of applications and data, and API management. It also includes process mining and analytics for optimization, supported by a composable architecture and a process runtime designed for scalable execution across complex environments.

Yes. Scheer PAS combines a Low-Code designer with a Pro-Code development kit, supported by an asset repository for libraries and pre built components. This enables teams to move from model and pro code to execution in a consistent platform approach. It is designed to accelerate delivery without losing the ability to implement complex enterprise requirements.

Scheer PAS supports BPMN and UML state machines as modeling and execution approaches. This supports deterministic orchestration for critical processes and provides a clear structure for introducing agentic capabilities over time. It also supports persistent execution states, which is essential for long running, multi step processes.

Scheer PAS supports the core integration patterns in one platform. This includes data integration patterns for synchronizing large volumes of data across systems, databases, or files, multistep process patterns that benefit from the process oriented approach and process engine, and composite patterns enabled by integrated API management and REST endpoints. This is designed to support end to end automation that spans many systems and teams.

Yes. Scheer PAS supports synchronous API patterns and asynchronous event based patterns. Event based patterns include architectures where event streaming is part of the platform components and can be used to bridge async and sync interactions. This enables resilient integration and orchestration in environments where real time events and distributed systems are core to operations.

Scheer PAS provides iPaaS capabilities that are API and microservice centric and support governance and policies. It includes workflow and automation, ETL, adapters and connectors, and special IoT connectors including OPCUA and MQTT. It supports message and event based integration, protocol and data mapping, EDI, real time analytics, monitoring and tracing, container based deployment, DevOps and CI/CD, and a performant C++ runtime.

Scheer PAS supports instance based tracing with an analyzer, service logs, and dashboards. This is complemented by monitoring and alerting capabilities and a log analyzer as part of the platform components. Together, these capabilities support full observability across process execution, services, and integrations so autonomous operations can be governed with transparency and control.

Process mining in Scheer PAS provides full process control by enabling model execution analysis, KPI definition, and simulation and measurement of variants. This supports continuous optimization based on real time data, rather than relying on assumptions. For agentic enterprise transformation, this creates a feedback loop where automation and orchestration can be improved with measurable outcomes.

Scheer PAS includes integrated API management for centralized control, optimization, and analysis of API usage. It supports API versioning, tracking and recording API changes, notification mechanisms, and extended analytics. It also includes more than 20 integrated and configurable API policies, supporting security, limitation, and modification needs in enterprise API operations.

API management in Scheer PAS is organized around the concepts of organization, client, and plan. An organization is a logical unit such as a company or department and acts as the container for plans, APIs, and clients. A client is the consumer of managed APIs, and a plan defines the level of service and policies that apply, representing the contract between a client and an API.

Scheer PAS supports policy chains including security, limitation, modification, and other operational controls. Security policies include authentication options such as BASIC and LDAP, Keycloak OAuth 2.0, and granular role based authorization, as well as HTTP security that can enforce SSL. Limitation policies include rate limits, transfer quota limits, and time restrictions, and additional policies include API key, JWT, caching resources, and header or URL modifications.

The API developer portal acts as a marketplace for exposing APIs to internal and external consumers. It provides documentation on how to access exposed APIs and supports subscription based access according to available contracts and plans. It also provides insights into usage data for registered API clients, such as visibility into pending rate limits, which supports operational transparency.

Yes. Scheer PAS supports API selling through monetization concepts where different plans can be defined, such as free and premium. Policies can be applied per plan to restrict inbound traffic, restrict endpoints, limit daily transfer quotas, and record metrics and usage for clients. This enables controlled exposure of APIs as products, aligned to governance and operational requirements.

Scheer PAS combines application integration and process automation to enable end to end business automation across the full process lifecycle. It supports seamless integration of a wide range of applications and systems, enabling unified execution instead of isolated workflows. The platform is designed to be flexible and adaptable, supporting AI agents, RPA, and IDP to fit existing IT landscapes and scale as needs grow, while enabling data based optimization through analysis and mining.

Scheer PAS supports deployment across cloud, hybrid, on premises, and edge environments. It is designed for enterprise operations where deployment requirements can vary by region, compliance needs, or system constraints. This flexibility supports a consistent orchestration approach even when the underlying infrastructure is heterogeneous.

Scheer PAS uses a container based approach where applications are packed into PBCs and deployed as docker containers. This supports resilience, speed, scalability, availability, security, and operational consistency. The platform is designed to run on Kubernetes based environments and to support enterprise grade execution of process, integration, and API workloads.

Scheer PAS can be fully hosted by Scheer PAS, including infrastructure and product support and availability SLA. It can also be deployed in a bring your own cloud or Kubernetes environment, whether private or public, where infrastructure and Kubernetes maintenance are handled by the customer and product maintenance is handled by Scheer PAS. This supports different operational models without changing the core orchestration platform approach.

Scheer PAS supports automation and orchestration use cases across finance, sales and marketing, procurement, logistics, production, R&D, and IT. Examples include automated invoice processing and payment, regulatory reporting and compliance, automated lead to customer processes, supplier onboarding and procurement workflow automation, order to delivery automation, production scheduling and optimization, product development lifecycle management, SAP S/4HANA automation and integration, hybrid cloud integration, legacy modernization, IT service management automation, and API management and security. The platform is designed for end to end automation where integration, process execution, and governance must work together.

Scheer PAS supports complex organizations across retail, manufacturing, pharmaceuticals, financial services, utilities, telco, and the public sector. The platform is designed for environments where many systems, data domains, and process variants must be orchestrated with transparency and control. This makes it well suited for industries where compliance, traceability, and operational reliability are essential.

Scheer PAS is used to operationalize process automation at scale across complex organizations. For customers, Scheer PAS has achieved more than 10,000 active processes every day and more than 100B dollars processed volume every year. It is positioned to deliver speed, with outcomes described as 10 times faster than regular coding, and an average return on investment of less than 3 months.

A master data creation and management example shows a reduction from 9 months to under 2 months. The outcome is described as under 80 percent effort and near zero failures. This illustrates how orchestrated processes, integration across systems, and governed execution can reduce cycle time and error rates at the same time.

Scheer PAS supports deterministic, process driven automation that can later evolve into orchestration of agents. This supports a controlled adoption path where AI is introduced step by step within a dedicated process, rather than being deployed without governance. It also supports parallel workflows where humans and AI can work at the same time, supporting human control while increasing automation and throughput.

The Scheer PAS pilot license includes a pilot license in a private cloud environment with setup included. It includes 2 developer users and 10 users, 3 services, and a site to site VPN.

The Scheer PAS Pilot Project is designed to solve a valuable real world problem within 2 months, led by the Scheer PAS professional service team. Billing is time and material, with typical effort between 10 and 25 days.

A practical starting point is to select a valuable real world problem where end to end automation needs integration, orchestration, and governance. The pilot license and pilot project options are structured to enable a defined time frame and scope, with connectivity through site to site VPN and a private cloud environment.