From a manual approval process to a transparent, controllable workflow: Simplifier connects people, systems, and AI agents in end-to-end processes—with complete process transparency.
Automate Business Processes End-to-End—Across System Boundaries
- User, Automated, and Notification Tasks Can Be Combined
- AI-Powered Workflow Design with Klara
- No process silos—one standard for all processes
What is workflow automation at Simplifier?
Mapping processes that connect people, systems, and AI
Simplifier automates business processes end-to-end across system boundaries—including comprehensive controlling and analysis capabilities. A workflow combines manual tasks (User Tasks), automated steps (Automated Tasks via Business Objects or connector calls), and notifications (Notification Tasks) into a unified model.
Every workflow step remains traceable in the workflow monitor—including the ability to stop, resume, or selectively reset running instances.
From Design to Production
Here's how to create a workflow in Simplifier
A workflow follows a clearly defined path—from the initial idea to monitored operation.
Modeling
Start, task, and condition elements are arranged visually in the Workflow Designer—either manually or with Klara as an AI assistant.
Define tasks
User Tasks for manual approvals, Automated Tasks for system interactions, Notification Tasks for notifications.
Connect
Business Objects and connector calls link the workflow to SAP, CRM, or other back-end systems.
Test & Approve
The workflow is assigned to a project, versioned, and released for production use.
Monitor
The workflow monitor displays the status, errors, and runtime of each instance—with options for administrators to intervene.
Measurable ROI Through Process Transparency
Comprehensive monitoring and analysis capabilities reveal where automation actually saves time. Saertex achieved a 97% reduction in errors during load inspection and savings of approximately €93,000 per year with just one application.
AI-powered design
Klara designs workflows based on five targeted questions
Structure in Seconds
Klara asks about purpose, roles, data/systems, and key steps—and uses this information to generate a complete workflow draft with tasks, conditions, outcomes, and variables.
Right in the workflow editor
The draft can be customized, expanded, and regenerated—as a starting point, not as a rigid final result.

Frequently asked questions
RPA typically automates individual tasks via user interfaces. Simplifier automates end-to-end business processes using workflows, APIs, connectors, user tasks, and system integrations—including roles, monitoring, status tracking, error analysis, and the ability to intervene in the process as it runs.
Approvals are modeled using User Tasks. Tasks can be assigned to individuals or groups and managed based on defined outcomes such as approval, rejection, or request for clarification—including via the Simplifier Launchpad or the Mobile Client.
Yes. The Workflow Monitor displays the status, version, current step, runtime, and errors for each workflow instance. Authorized users can stop, resume, skip steps, reset, or terminate instances.
Klara is the AI-powered workflow builder in Simplifier. Based on information about the purpose, roles, data, systems, and process steps, Klara creates an initial workflow with tasks, conditions, outcomes, and variables—serving as an editable foundation in the Workflow Designer.
Yes. Simplifier supports parallel workflow steps using parallel splits, for example, when multiple approvals, checks, or system actions are to take place simultaneously. Sub-instances remain traceable in the workflow monitor.
Simplifier workflows can be connected to SAP, ERP, CRM, databases, REST, SOAP, OData, and other backend systems via connectors and business objects. This enables end-to-end processes that span system boundaries.
Many workflows can be modeled visually—using tasks, conditions, outcomes, notifications, and system calls. If necessary, custom logic or complex integrations can be added using Business Objects with JavaScript.
Workflow instances remain traceable through their status, version, timestamps, steps, outcomes, and variable changes. This supports transparency, error analysis, support, and compliance-related evaluations during production operations.
Get started now.
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