Abstract: Systems and techniques are provided for automating workflows on a workflow automation platform. An example method can include receiving an input prompt representing a request to generate a flow in a workflow automation platform, wherein the input prompt includes a description of the flow and the description of the flow includes a linkage between a metadata tag and a data structure; identifying, based on the linkage, data associated with the flow; determining a set of components of the flow based on the description of the flow and the data associated with the flow, the set of components of the flow including a flow trigger and a flow action; and based on the set of components of the flow, generating the flow in the workflow automation platform, the generated flow including executable instructions configured to trigger the flow action in response to a detection of the flow trigger.

Abstract: Systems and methods are provided for using machine learning (ML) models to design workflow patterns based on user inputs (e.g., provided as a natural language “utterance” (such as a free-text field entry) and/or as a computer programming language entry). The ML models are used to extract intents of the user inputs and predict workflow patterns based on the user intents. The ML models may be used to design a customized workflow based on the respective workflow criteria.

Abstract: Systems and methods are provided for integrating damage evidence with appraisal management system to create a unified user experience for improving a virtual damage appraisal process. The system may display a curated collection of evidence providing an overview of the vehicle and sections of a vehicle damaged during an adverse incident. A user may select a damaged section from a plurality of damaged sections to view damage evidence determined by machine learning algorithms to best reflect the selected damaged section may be displayed. The damage evidence may be displayed concurrently with vehicle part selection and repair line editing functionality in a configurable graphical user interface (GUI) of a virtual appraisal application. Additionally, the system may generate set of recommendations for repairing or replacing the damaged parts in the selected section. The user may add the recommendations to a repair estimate as repair estimate lines.

Abstract: Systems and methods are provided for integrating damage evidence with appraisal management system to create a unified user experience for improving a virtual damage appraisal process. The system may display a curated collection of evidence providing an overview of the vehicle and sections of a vehicle damaged during an adverse incident. A user may select a damaged section from a plurality of damaged sections to view damage evidence determined by machine learning algorithms to best reflect the selected damaged section may be displayed. The damage evidence may be displayed concurrently with vehicle part selection and repair line editing functionality in a configurable graphical user interface (GUI) of a virtual appraisal application. Additionally, the system may generate set of recommendations for repairing or replacing the damaged parts in the selected section. The user may add the recommendations to a repair estimate as repair estimate lines.