Define agent roles and responsibilities
Describe what each agent should watch, decide, draft, route, or complete inside the workflow.
Build cloud AI agents
AI Agent Builder in the cloud.
Build AI agents that can follow workflows, use tools, handle tasks, and operate with human oversight in the cloud. Define the roles, tools, approvals, and handoffs, then run the agent workflow with visible status.
Agent rolesTool accessCloud runtime
Where it fits
Create ai agent builder that can coordinate work, use business context, and stay visible to the people responsible for the outcome.
Use agent teams when chat is not enough and the work needs tools, routing, persistence, approvals, and follow-through.
Connect tools, data, and handoffs
Give agents the business context, files, approvals, forms, APIs, and task queues they need to coordinate work.
Run with oversight in the cloud
Keep agent activity visible with logs, status, human review points, and changes you can request as the process evolves.
How it works
From workflow to agent team.
Start with the business process, then define which agents participate, what each one can do, and where humans approve the work.
- 1
Describe the ai agent builder you want to create.
- 2
Define agent roles, tools, context, handoffs, and human review points.
- 3
Run the agent workflow in the cloud with logs and status visibility.
- 4
Refine responsibilities, prompts, tools, and approval steps as the work changes.
Built for control
Agents should be useful without becoming invisible.
Design the workflow with clear ownership, approval gates, task history, and escalation paths so people can trust what the agents are doing.
Logs
Approvals
Escalations
Questions about ai agent builder
What can ai agent builder do?
It can help run repeatable business work by combining AI reasoning with roles, tools, workflow state, task routing, and human oversight.
Is this just a chatbot?
No. The goal is a working agent workflow for businesses creating agent-powered workflows, with actions, handoffs, logs, approvals, and connected business context.
Can people stay in control?
Yes. Agent workflows can include review queues, approval steps, escalation rules, and visible logs so people decide where automation should stop.
Connect the system
Build the app around the agents.
Agent teams work best when they sit inside real business software with records, dashboards, portals, and approval views.
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Create the app surface, saved records, and dashboards around the agent workflow.
ExploreNo-Code Workflow Builder
Turn intake, review, routing, and completion into a working workflow app.
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Explore a support workflow that can pair naturally with agent triage.
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Browse broader operations systems where AI agent teams can fit.
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Create teams of AI agents that coordinate research, operations, support, sales, admin, and recurring business work.
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Build multi-agent systems where specialized AI agents divide responsibilities, share context, and move work forward together.
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Design an AI workforce for repeatable business tasks, back-office work, customer intake, research, and team coordination.
ExploreCloud AI Agent Builder
Create AI agents that run in the cloud with saved state, integrations, scheduled work, monitoring, and secure access.
ExploreBuild agent teams that move real work forward.
Start with a workflow, define the agent roles, and keep humans in control where judgment matters.
Start building