Define agent roles and responsibilities
Describe what each agent should watch, decide, draft, route, or complete inside the workflow.
Cloud-hosted agents
Cloud AI Agent Builder in the cloud.
Create AI agents that run in the cloud with saved state, integrations, scheduled work, monitoring, and secure access. Define the roles, tools, approvals, and handoffs, then run the agent workflow with visible status.
Hosted agentsSchedulesMonitoring
Where it fits
Create cloud 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 cloud 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 cloud ai agent builder
What can cloud 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 teams that need persistent AI workers, 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.
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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