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SEEBURGER Integrator Workspace
SEEBURGER Integrator Workspace

SEEBURGER
Integrator Workspace

Central Design Layer for Enterprise Integration

The SEEBURGER Integrator Workspace (IWS) is the central design-time product within BIS. It gives integration teams a consistent environment to design flows, configure and test integrations and prepare versioned projects for governed deployment to BIS runtime services.

By organizing flows, subflows and related project assets into versioned, reusable projects, IWS helps teams reduce duplicate work, standardize implementation patterns and preserve business-critical integration knowledge.

AI-assisted configuration and script creation help users design and document integration logic more efficiently, while agentic workflows extend controlled AI execution into the runtime. Together, these capabilities accelerate integration delivery while maintaining transparency, governance and operational control across cloud and hybrid environments.

The need for a unified integration design approach

Modern enterprises operate increasingly complex integration landscapes spanning SaaS applications, custom services, B2B integration processes including EDI, AI agents, legacy on-premises systems and distributed data sources. BIS connects these landscapes across cloud, customer-operated and hybrid environments, allowing organizations to combine modern integration services with established systems and processes.

Across these environments, organizations need a consistent way to design, configure and govern integrations throughout their lifecycle. Fragmented tooling, inconsistent versioning and manual hand-offs between teams increase complexity and slow delivery. IWS provides a unified design-time environment for flow design, configuration, testing, versioning, deployment preparation and AI-assisted development within BIS. These capabilities come together in one consistent user experience.

The Integrator Workspace at a glance

The SEEBURGER Integrator Workspace (IWS) is the central design-time product within BIS. It provides a consistent environment for flow design, configuration, validation and governance. IWS brings together flow design, project assets, testing and deployment preparation in a single workspace.

Integration flows define and orchestrate business logic using an open graph model. They support flexible triggers, routing, connector calls, mappings, conditions, loops and error handling, while versioning, testing, flow history and deployment capabilities support collaborative lifecycle management.

Subflows encapsulate reusable logic segments that can be shared across integration projects, invoked from flows or exposed as callable tools for agentic workflows. This helps organizations standardize common integration patterns.

Mappings can be used within integration flows to validate and transform payloads between structures and formats.

Integration-related assets are managed through IWS projects and dedicated services. The Integration Asset Catalog provides governed connector and template content for discovery and reuse, while schemas, certificates, accounts and truststores are managed within their relevant project and service contexts.

Together, these building blocks provide the foundation for the core capabilities of IWS, enabling organizations to design, govern and evolve enterprise integration flows at scale.

Key Capabilities of the Integrator Workspace (IWS)

IWS supports integration development through capabilities that cover flow design, orchestration, configuration, testing and lifecycle management. These capabilities operate within a consistent design model for flows, subflows and project assets.

Flow design and orchestration

  • Visual design of integration flows using a browser-based flow designer
  • Configuration of orchestration steps including routing, mapping, validation and connector calls
  • Support for common orchestration constructs such as sequential and conditional logic, loops and error handling
  • AI-assisted guidance for configuring actions, creating scripts and understanding available options

Mapping and data transformations

  • Use of mappings within integration flows to validate and transform payloads between structures and formats
  • Use of mappings that support multiple data formats and structures, including complex B2B integration formats and EDI standards

Configuration and connectivity

  • Configuration of connectors, authentication settings, truststores and partner-specific parameters
  • Support for connecting cloud services, enterprise systems and on-premises environments
  • Central management of accounts, certificates, schemas and other integration-related assets

Project lifecycle management

  • Structured projects containing flows, subflows, schemas, accounts and truststores
  • Versioned, immutable project packages for governed deployment to BIS runtime services
  • Integrated testing with detailed results, metadata and execution traces
  • Flexible trigger configuration, including changing a flow from scheduled to HTTP-based activation
  • Flow history showing when a flow was changed or deployed and by whom
  • Controlled deployment preparation and promotion across environments

Governance and documentation support

  • Centralized management of reusable project and integration assets
  • AI-assisted documentation of flows and project components
  • Contextual guidance retrieved from approved documentation sources
  • Clear separation between AI-assisted design in IWS and governed execution of AI-enabled integration flows at runtime

Together, these capabilities support the full design lifecycle: from flow design and configuration to testing, asset governance and deployment preparation.

Design and deployment principles

IWS follows architectural principles of centralized design, runtime flexibility and controlled versioning. Projects bundle the required artifacts, including flows, subflows, schemas, accounts and truststores, and are deployed as immutable versions to BIS runtime services. This supports reproducible execution, predictable promotion across environments and clear governance boundaries. Security and lifecycle controls include account-based authentication, encrypted truststores and managed deployment workflows.

By centralizing design, configuration and governance within BIS, IWS supports consistent integration practices across SaaS applications, enterprise systems, B2B integration scenarios including EDI and hybrid landscapes.

The Integrator Workspace and AI

AI capabilities are integrated into BIS at design time and runtime. IWS supports developers with AI-assisted configuration, script creation and documentation, while BIS runtime services execute agentic workflows in a controlled and auditable manner. These separate but complementary capabilities improve development efficiency and support governed AI-enabled decision logic across integration scenarios.

AI assistance in IWS

IWS incorporates AI assistance to support development tasks and reduce manual effort. Examples include:

  • AI-assisted guidance for configuring actions, creating scripts and understanding available options
  • Assistance with creating and refining scripts used in flow actions
  • Code suggestions and explanations for JavaScript expressions and other configuration tasks
  • Contextual guidance based on approved documentation sources to help users understand functions, settings and design options
  • Assistance with documenting flows and project components to improve consistency and maintainability

These capabilities help users configure, understand and document integration logic more efficiently while preserving a clear separation between design assistance and runtime execution.

Agentic execution in the BIS runtime

At runtime, BIS can execute agentic workflows in a controlled and auditable manner. These capabilities enable multi-step reasoning and tool orchestration inside integration flows. Depending on the configured scenario, agentic workflows can:

  • invoke reusable subflows as tools or access external MCP servers through built-in MCP client capabilities
  • iterate through reasoning cycles within defined goals, limits and runtime controls
  • produce structured outputs, including JSON validated against schemas
  • provide full execution traceability, including tool calls, prompts, parameters and outputs

This setup allows AI-powered logic, such as classification, enrichment, extraction, transformation or conditional branching, to be integrated into enterprise workflows while maintaining governance, transparency and operational control.

Governance and control

AI capabilities operate within the platform’s existing governance framework. Controls include:

  • account-based access to LLM providers and AI services
  • configurable limits for iterations, timeouts and reasoning behavior
  • schema validation to support predictable, structured outputs
  • auditable execution traces for compliance, transparency and troubleshooting
  • clear separation between AI-assisted design in IWS and controlled runtime execution

These mechanisms help organizations use AI in regulated and mission-critical integration environments while maintaining transparency, governance and operational control.

Related mapping services in the BIS design landscape

Mapping is a central part of enterprise integration. Transformation logic often contains business-critical knowledge about partner requirements, industry standards, application data models and process-specific rules. Within the broader BIS design landscape, dedicated mapping services complement IWS with browser-based design and repository-based governance.


SEEBURGER Mapping Designer Service

The SEEBURGER Mapping Designer Service enables users to create and maintain mappings in a browser-based environment without a local designer installation. Schema-aware design capabilities support complex data structures and B2B formats, including EDIFACT and ANSI X12. Multi-file schema uploads support schema packages distributed across several files.


SEEBURGER Mapping Repository Service

The SEEBURGER Mapping Repository Service provides Git-enabled repository management for mapping projects. It supports versioning, collaboration and controlled deployment preparation, turning mapping logic into reusable, maintainable assets rather than isolated project files.

These standalone services complement IWS by supporting browser-based mapping design and repository governance in established BIS environments.

How IWS fits into the platform architecture

As the central design-time product within BIS, IWS is used to design, configure and validate integration logic before it is deployed to BIS runtime services. Runtime execution remains independent of IWS, preserving the separation of design time and runtime.

BIS Hub (control plane and shared runtime services)

BIS Hub provides the control plane and shared runtime services for IWS flows, including runtime management, monitoring, deployment orchestration and access to the Integration Asset Catalog. IWS provides the central design-time experience within this model, while BIS Hub supports governance and operational transparency for cloud execution.

 

Hybrid integration with customer-operated BIS environments

Existing customer-operated BIS environments can remain part of hybrid integration scenarios. IWS flows execute on the BIS Hub shared runtime and exchange data with the existing customer-operated BIS environment, where established integration processes continue to run. This supports hybrid modernization without requiring organizations to redesign critical running systems.

Positioning and usage scenarios

IWS provides the design environment for building, configuring, testing and preparing integrations for execution through BIS runtime services. Integration artifacts are organized as versioned projects containing flows, subflows, schemas and configuration assets. Deployments follow a consistent and controlled lifecycle across environments.

AI assistance supports configuration, script creation and contextual documentation. Separately, agentic workflows at runtime can support multi-step reasoning and tool invocation using subflows or approved services as callable components. These capabilities enable AI-supported classification, enrichment and decision logic within enterprise workflows while maintaining transparency, governance and operational control.

The following scenarios show how IWS supports SaaS-to-SaaS integration, hybrid modernization and AI integration alongside established SEEBURGER deployment models.

Pure SaaS-to-SaaS integration

IWS supports SaaS-to-SaaS integration by bringing flow design and API interactions into one browser-based environment. Teams can start from available connectors and reusable flow patterns, configure REST, event-based and application-specific interfaces and deploy cloud executions through BIS Hub. Typical use cases include CRM-to-ERP synchronization, HR-to-finance processes and cross-domain data exchange.

AI assistance can help teams understand API documentation, configure integration steps and create supporting logic. Reusable schemas and subflows reduce repeat work across similar integrations.

Benefits: faster setup, reduced dependency on customer-managed infrastructure and consistent reuse of proven integration assets.

Hybrid use cases for existing customers

Organizations can extend existing BIS environments to new cloud applications without redesigning critical running systems. IWS provides the design environment for new cloud-side flows, while established integration processes continue in the customer-operated BIS environment through controlled data exchange. Available connectors and reusable subflows support consistent development on the cloud side.

For established BIS environments, the standalone Mapping Designer Service supports targeted mapping adjustments without local tool installation, while the Mapping Repository Service provides Git-enabled versioning and collaboration. Together, these services help shorten the path from a new integration requirement to production while preserving existing operational and security boundaries.

Benefits: non-disruptive modernization, controlled hand-offs and reuse of existing integration knowledge.

AI integration and agent orchestration

At runtime, agentic workflows can use configured LLM providers, invoke reusable subflows as tools and access external MCP servers through built-in MCP client capabilities. Controls for iterations, timeouts, schema validation and execution traces keep agentic behavior within defined operational boundaries.

Benefits: AI-enabled classification, enrichment and decision logic embedded in governed integration flows rather than isolated from enterprise processes.

Together with SEEBURGER iPaaS

When used with SEEBURGER iPaaS, IWS provides the design-time layer, while the iPaaS environment delivers multi-tenant execution and management capabilities. Integrations are designed and tested in IWS and deployed to cloud tenants through BIS Hub services for monitoring, runtime management and deployment orchestration.

Benefits: horizontal scalability, low operational overhead and consistent governance across tenants. AI-enabled workflow components can operate within this runtime where required.

Together with SEEBURGER managed B2B integration services, including EDI

Within SEEBURGER managed B2B integration services, including EDI, IWS offers a structured environment for creating and maintaining routing logic, onboarding configurations and the flows that connect to managed B2B processes.

Benefits: improved transparency, faster adjustments, streamlined collaboration with service teams and enhanced governance for B2B integration processes, including EDI.

Conclusion

With IWS, organizations can manage integration development as a governed lifecycle rather than a collection of disconnected tools and project files. Teams can design flows, configure and test integrations and prepare versioned deployments in a consistent design-time environment within BIS.

AI-assisted configuration and script creation, reusable project assets and controlled agentic execution help organizations accelerate delivery, reduce duplicate work and preserve integration knowledge across teams and environments.

By connecting design, governance and deployment preparation, IWS serves as the central design-time product within BIS. It provides a scalable foundation for evolving enterprise integration landscapes across cloud and hybrid architectures while allowing existing customer-operated processes to remain in place.

Discover how the Integrator Workspace provides a unified design layer for governed enterprise integration.

Contact us

Direct contact:

Ulf Persson
Ulf Persson

SVP Strategic Product Marketing and Analyst Relations

SEEBURGER

Solution Brief
SEEBURGER Integration Assistant (SIA): Design-Time AI Assistance for Governed Integration Development
All Industries, AI
SEEBURGER Integration Assistant (SIA): Design-Time AI Assistance for Governed Integration Development