Build a workflow now
Walk through building a custom workflow for your specific process in a live session.
Build your first workflowVisual drag-and-drop workflow automation for AI agents. Build multi-step processes with branching logic, human approvals, and system connectors — without writing integration code.
3min
Average workflow build time
300+
Pre-built connectors
99.9%
Execution reliability
Drag-and-drop workflow steps onto an infinite canvas. Connect them with arrows. Set conditions, timeouts, and error handlers.
Each step can invoke AI agents, read or write data to your systems, or pause for human review. The builder handles all the complexity.
See how it integrates with the platformEach workflow step can invoke AI reasoning within governed boundaries. Agents evaluate context, make judgment calls, and branch workflows based on intelligent analysis.
Route workflows based on data values, AI reasoning, or business rules. Multiple exit paths per node.
Pause execution at decision gates. Agents await human review before proceeding with high-stakes actions.
Automatic retry with exponential backoff. Fallback paths handle failures gracefully without stopping the workflow.
Pre-built connectors to Salesforce, SAP, Snowflake, and your custom APIs. Each workflow step can read and write across your entire stack. Securely authenticate with OAuth, API keys, or service accounts.
Watch workflows execute in real time. See step-by-step outputs, AI reasoning results, system reads/writes, and approval waits. Access complete logs for compliance and debugging.
Drag steps onto the canvas. Configure triggers, conditions, actions, and approval gates.
Link workflow steps to enterprise systems. Pre-built connectors handle auth and transforms.
Run test executions with sample data. Inspect step outputs, branching, and timing.
Track live workflows. View audit trails, error logs, and performance analytics.
An AI workflow builder lets you design automated business processes using a visual drag-and-drop interface. Combine triggers, conditions, actions, and human approvals into governed workflows that AI agents execute autonomously with full audit trails.
No. The visual designer uses drag-and-drop nodes for triggers, conditions, actions, and approvals. Process owners can build workflows without writing code, while developers can extend them with APIs and custom logic when needed.
Traditional RPA follows rigid scripts. AI workflows include intelligent decision-making — agents can interpret unstructured data, handle exceptions, adapt to variations, and escalate edge cases. They combine the reliability of automation with the flexibility of AI reasoning.
Yes. You can add human-in-the-loop approval gates at any point in a workflow. Reviewers receive context-rich notifications with all relevant data, and workflows pause until approval is granted or an alternative path is triggered.
Simple workflows can be built and deployed in under 30 minutes. A typical 12-step manual approval process can be converted to a governed automation in a single session, with process owners regaining 15+ hours per week.
Process owners see bottlenecks in real time and regain 15+ hours per week. Turn a 12-step manual approval process into a governed, auditable automation.
Walk through building a custom workflow for your specific process in a live session.
Build your first workflowWatch a live demo showing workflow execution and monitoring across a real business process.
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