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Enterprise & Governance

Agentic Workflow

An agentic workflow is a process in which AI agents coordinate multiple steps and tools to achieve a defined outcome.

Agentic workflows combine objectives, context, tools, decision rules, and checkpoints in an executable process. Unlike rigid automation, an agent can evaluate intermediate results and adapt its next action. Boundaries, approvals, and logs remain essential, especially for production changes.

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AI Agent

Human-in-the-Loop

Role-Based Access Control

Audit Log

FAQ

Agentic Workflow

Which process makes a good first agentic workflow?
A good starting point has a clear goal, a verifiable result, and low potential for damage, such as preparing drafts or reports. The output stays a proposal that people approve. That allows quality, effort, and failure patterns to be assessed before the scope grows.
Where do checkpoints belong in an agentic workflow?
Checkpoints belong before steps with high impact or that are hard to reverse: publishing, deletion, external communication, changes to production systems. For reversible intermediate steps, automated tests and logs are enough. Too many checkpoints slow the process, while too few quietly shift risk into production.
How does an agentic workflow differ from classic automation?
Classic automation follows a fixed path that people describe completely in advance. An agentic workflow sets the goal, tools, and limits, and leaves the choice of intermediate steps to the agent. That suits variable tasks but costs predictability and makes checkpoints more important.