Stepper

Stepper is a free AI workflow automation software designed to visually and conversationally streamline the creation of workflows. The key highlight of Stepper is its conversational AI editor, which democratizes the workflow creation process by allowing non-technical users to develop a workflow through natural language. Stepper also incorporates a visual editor for written instructions, contributing to workflow understanding and optimization. It features a component library housing reusable modules that address user authentication, data validation, and notifications. These components can be employed across multiple workflows, thus improving efficiency. Its functionality extends to a variety of business use cases such as AI-powered lead qualification, content distribution, contract management, support ticket routing, among others, and the software is designed to be cost-effective.

The conversational AI editor in Stepper enables non-technical users to create a workflow using natural language. It allows users to relay tasks in their own terms and generates the workflow steps in real-time, eliminating the need for manual, complex code writing. It is optimised to understand, decipher and translate user commands into automated actions.

The visual editor of Stepper works hand-in-hand with the conversational AI editor. While the conversational AI editor handles the instructions given via natural language, the visual editor assists in comprehending and optimizing the workflows that have been developed. It's a practical tool for visualizing the progression and structure of the workflow.

The component library in Stepper constitutes a compilation of reusable modules. These modules, such as user authentication, data validation, and notifications are designed to address recurring logic and processes in a workflow. They serve to expedite workflow creation and foster efficiency by reducing redundancies.

Yes, the same components from the component library can be reused across multiple workflows in Stepper. This functionality is crucial to reducing redundancy, ensuring consistent application of procedures and enhancing overall workflow efficiency.