Move the work forward. Keep the handoffs deliberate.

Turn recurring requests into a visible sequence of AI actions, connected tools and human decisions. Configure the supported steps and review points for your process.

Design the handoff, not just the prompt.

A useful workflow explains what starts the work, which connected action follows, what a person must decide and what the next system receives. Make those responsibilities part of the process.

Connect the actions your process needs.

Use configured HTTP, MCP, model and Python steps for the work itself. Supported conditions and loops let a workflow act on its inputs; configured human steps can request input, edits or approval.

A run should tell you what happened.

Keep the workflow definition and run state visible. Review configured connections, the acting identity and each consequential handoff before putting a process into use. Approval applies at the supported points you configure.

Bring the process that keeps getting stuck.

Choose one repeatable process with a clear start and a useful output. Together, we can identify the supported steps, permissions, review points and failure cases to test.

Test a draft-and-review process: fetch approved context, create a draft and pause for a reviewer’s edit. Confirm that the next configured tool action waits for the completed review, and inspect the run when a connected action fails.

Walk through a workflow

AI agents

Hybrid search

Governance & disclosure

Deployment & data boundaries

Discuss your use case