Define agent roles and responsibilities
Describe what each agent should watch, decide, draft, route, or complete inside the workflow.
Business AI agents
AI Agents for Business in the cloud.
Use AI agents to handle business tasks like intake, follow-up, research, reporting, routing, and back-office coordination. Define the roles, tools, approvals, and handoffs, then run the agent workflow with visible status.
Customer intakeFollow-upReporting
Where it fits
Create ai agents for business 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 agents for business 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 agents for business
What can ai agents for business 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 companies automating operational work, 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.
No-Code App Builder
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.
ExploreCustomer Support Portal
Explore a support workflow that can pair naturally with agent triage.
ExploreBusiness Operations
Browse broader operations systems where AI agent teams can fit.
ExploreExplore more AI agent pages
AI Agent Builder
Build AI agents that can follow workflows, use tools, handle tasks, and operate with human oversight in the cloud.
ExploreAI Agent Team Builder
Create teams of AI agents that coordinate research, operations, support, sales, admin, and recurring business work.
ExploreMulti-Agent Builder
Build multi-agent systems where specialized AI agents divide responsibilities, share context, and move work forward together.
ExploreAI Workforce Builder
Design an AI workforce for repeatable business tasks, back-office work, customer intake, research, and team coordination.
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