Agent Builder
Build powerful AI agents in hours
Define your agent, connect the right tools, set human review, and deploy without ML expertise.
Describe the agent you want to build…
Build an agent that reviews refund requests and escalates high-value cases.
Billing & Refund
Customer Support
Sales Qualification
Feature Breakdown
Everything you need to build production agents
Configure workflows, permissions, guardrails, testing, and deployment from one visual builder without ML setup or infrastructure work.
Configuration
Every configuration change creates a new version, making it easy to review changes or roll back quickly.
Permissions
Choose the tools your agent can use and define its read, write, monitoring and execution with precise controls.
Guardrails
Set confidence thresholds and require human approval before the agent performs sensitive actions changes.
Testing
Test the agent with real and test cases to find issues before going live in production with confidence safely.
Versioning
Every configuration change creates a new version, making it easy to review changes or roll back when needed.
API
Use the API to build, manage, deploy agents programmatically within your existing development workflows.
Why Autonoma
Build agents that are read for real work
From your first workflow to production, Autonoma gives your team the control, context, and flexibility to build with confidence.

FAQ
Frequently asked questions
Do I need a developer to build an agent?
No. The visual builder is designed for operations, product, and customer success teams. Developers who want more control use the API and SDK both paths produce the same production agent.
How long does it take to build a first agent?
Most teams can configure and test a first agent within a few hours. More complex workflows may require additional testing and approvals.
Can I import configs from other platforms?
Yes. You can reuse existing instructions, workflows, and tool configurations, then adapt permissions and guardrails inside Autonoma.
What happens when an agent makes a mistake?
Every action is logged and traceable. Confidence thresholds, approval rules, and escalation paths can pause uncertain actions and route them to a human.





