Workflow86 Rolls Out AI Workflow Engineer For Automating Business Operations
In Brief
Workflow86 has launched an AI workflow engineer that transforms natural language business process descriptions into fully automated workflows.
Platform centered on AI-driven workflow automation Workflow86 introduced a new solution described as an AI workflow engineer tailored for enterprise use.
The tool is capable of interpreting natural language descriptions of business processes and converting them into complete automation sequences, incorporating elements such as forms, tasks, AI operations, system integrations, and more.
The system allows users to create and implement custom workflows by interacting with an AI agent that functions similarly to a process consultant. Users may describe processes in written form or upload visual materials such as diagrams or flowcharts.
The AI then seeks clarification as needed, formulates an implementation strategy, and constructs the workflow using a range of components, including human approvals, database functions, API calls, and custom scripting in JavaScript or Python. Workflows can be launched immediately or further refined, either manually or with additional AI support.
Workflow86 Enables Visual Modeling, Custom Code Execution, And Workflow Automation And More For Complex Business Processes
Workflow86 is structured to support comprehensive workflow automation, extending its functionality beyond simple app integration by enabling the construction of complete, end-to-end processes tailored to complex, real-world business requirements.
The platform includes a visual interface that allows users to model intricate workflows in a centralized environment, complete with notes, contextual descriptions, and AI-generated explanations to ensure clarity and maintain process visibility.
It incorporates custom code nodes, allowing advanced customization and handling of edge cases where more granular control is needed. The system also features AI nodes that utilize the latest large language models to execute in-process tasks such as content summarization, value extraction, and web search.
For workflows that involve manual intervention, built-in forms and human-in-the-loop tasks facilitate review and approval stages. Integration nodes connect workflows to external applications and internal systems, enabling automated triggers from and responses to systems like customer relationship management (CRM), email, help desks, and HR platforms. Users can begin using the platform at no cost by describing a business process they wish to automate and initiating the AI-powered generation feature.
Several practical use cases can be explored to demonstrate the capabilities of the platform. One scenario involves developing an employee onboarding process that automatically dispatches welcome emails, initiates IT service tickets for equipment setup, arranges team meetings, and monitors the completion status of training modules.
Another example includes configuring a contract approval workflow that adapts based on the contract’s monetary value, directs higher-value contracts exceeding $50,000 for legal review, collects electronic signatures, and issues notifications to relevant stakeholders.
A further application entails implementing a lead scoring framework that enhances website-sourced leads with additional data, evaluates them using criteria such as company size and engagement level, assigns them to sales representatives according to geographic territory, and generates corresponding follow-up tasks.
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About The Author
Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
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Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
