5 results found

1. FlowScript Copilot

   FlowScript Copilot is an AI-powered assistant (chatbot) designed to support users in creating FlowScript code. It offers a Copilot-like experience specifically tailored to FlowScript, enabling users to:
   Contextually aware, FlowScript Copilot is capable of handling conversations by retaining context from previous questions and answers.
   FlowScript Copilot can interpret the user intent and provide a solution to the problem
   Access syntax explanations and code examples.
   Use "copy-paste" functionality for code snippets.
   Receive real-time responses to FlowScript queries.
   Get FlowScript function suggestions as potential solutions to problems.
   Provide feedback for continuous improvement.

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   started  ·  AdminAnonymous (Admin, Novacura) responded

   We are happy to inform you that development work has begun on your requested feature. Our product team has assigned resources and is actively working on implementing it. We will keep you updated on its progress.

2. Contextual Copilot

   Contextual Copilot
   We are considering a simpler version of a contextual Copilot, aimed at enhancing user productivity by providing real-time, relevant assistance. This tool would:
   Help users complete tasks faster.
   Reduce errors and friction in workflows.
   Promote discovery of hidden features.
   Ultimately boost user satisfaction and adoption.

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   under review  ·  AdminAnonymous (Admin, Novacura) responded

   Thank you for voting on this feature request. Our product team is currently reviewing it and evaluating its feasibility and potential impact. We will keep you updated on any progress.

3. SmartDoc Insights

   AI-powered functionality designed to automate the classification and data extraction processes for uploaded documents. It simplifies workflows by identifying document types and extracting essential information, providing users with ready-to-use data while reducing manual effort and errors.
   Document Classification:
   Key Data Extraction:
   Benefits:
   Increases operational efficiency by automating repetitive tasks.
   Delivers accurate, actionable data with minimal manual intervention.
   Supports diverse applications

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   under review  ·  AdminAnonymous (Admin, Novacura) responded

   Thank you for voting on this feature request. Our product team is currently reviewing it and evaluating its feasibility and potential impact. We will keep you updated on any progress.

4. AI Step

   Solution: Introduce an AI Step in the Designer that allows users to seamlessly integrate pre-defined AI tasks into their workflows. These tasks will enhance workflows with cognitive capabilities such as text analysis, image recognition, and predictive modeling.

   What It Does:
   Users can drag and drop an "AI Step" into a workflow.
   From a dropdown menu, they select from a set of AI tasks to execute within the workflow.
   Incremental Rollout: The library of AI tasks will grow incrementally, with new tasks added based on user demand and technological advancements, ensuring continuous improvement of capabilities.
   Examples of AI Tasks:
   Text Processing:
   Text summarization
   Sentiment analysis
   Named entity recognition (extract key information, like names, dates, locations)
   Document Automation:
   Document data extraction (e.g., extracting key data fields from invoices or contracts)
   Document classification (e.g., categorizing documents into types)
   Image Processing:
   OCR (Optical Character Recognition) for extracting text from images
   Image classification (e.g., identifying objects in images)
   Data Insights:
   Predictive analytics (e.g., forecasting sales or detecting anomalies)
   General Automation:
   Language translation
   Automatic task prioritization based on contextual inputs
   Smart recommendations (e.g., recommending next best steps)

   Solution: Introduce an AI Step in the Designer that allows users to seamlessly integrate pre-defined AI tasks into their workflows. These tasks will enhance workflows with cognitive capabilities such as text analysis, image recognition, and predictive modeling.

   What It Does:
   Users can drag and drop an "AI Step" into a workflow.
   From a dropdown menu, they select from a set of AI tasks to execute within the workflow.
   Incremental Rollout: The library of AI tasks will grow incrementally, with new tasks added based on user demand and technological advancements, ensuring continuous improvement of capabilities.
   Examples of AI Tasks:
   Text Processing:… more

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   under review  ·  AdminAnonymous (Admin, Novacura) responded

   Thank you for voting on this feature request. Our product team is currently reviewing it and evaluating its feasibility and potential impact. We will keep you updated on any progress.

5. AI Flow builder

   Problem: Creating workflows manually can be time-consuming and error-prone, especially for complex business processes. Businesses need a faster, more accurate way to generate workflows that align with their domain and data models.
   Why It Matters: Manual workflow creation delays application development and increases the risk of misalignment with business objectives, leading to inefficiencies and higher costs.
   Proposed Feature/Idea
   Solution: Use AI to automatically generate workflows from user inputs, such as:
   A prompt described in plain language (e.g., "Create a workflow to move inventory parts").
   Existing business process or data model diagrams (e.g., BPMN, UML).
   What It Does: AI analyzes the input to:
   Understand the business logic.
   Create workflows (like the one in the attached image) that can be directly used as a domain and data model in the low-code platform.
   Example: Input a business prompt or upload a diagram, and the system generates a workflow like the "Move Inventory" process diagram in the attachment.
   Business Impact
   Time Savings: Reduces workflow creation time by up to 80%.
   Error Reduction: Ensures workflows are consistent and accurate based on predefined business rules and domain models.
   Scalability: Enables faster scaling of applications by automating repetitive workflow design tasks.
   Key Features/Capabilities
   Input Options:
   Plain-language text prompts.
   Uploaded business process or data model diagrams (e.g., JSON, XML).
   AI-Powered Generation:
   Natural language processing to interpret text.
   Diagram parsing to identify workflows and relationships.
   Workflow Outputs:
   Fully editable workflows in the low-code platform.
   Integration-ready domain and data models.
   User Feedback Integration:
   Allow users to edit and refine workflows with suggestions provided by AI.

   Problem: Creating workflows manually can be time-consuming and error-prone, especially for complex business processes. Businesses need a faster, more accurate way to generate workflows that align with their domain and data models.
   Why It Matters: Manual workflow creation delays application development and increases the risk of misalignment with business objectives, leading to inefficiencies and higher costs.
   Proposed Feature/Idea
   Solution: Use AI to automatically generate workflows from user inputs, such as:
   A prompt described in plain language (e.g., "Create a workflow to move inventory parts").
   Existing business process or data model diagrams (e.g., BPMN, UML).
   What It Does: AI analyzes the… more

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   under review  ·  AdminAnonymous (Admin, Novacura) responded

   Thank you for voting on this feature request. Our product team is currently reviewing it and evaluating its feasibility and potential impact. We will keep you updated on any progress.