AIPay AgentOS
Run enterprise Agents inside governed business workflows
Connect knowledge, data, tools, and systems while governing Agent identity, permissions, model use, cost, approvals, and execution history.
Global models
Local models
A working Agent is not yet a production operating model
Excessive permissions
Agents often rely on shared credentials or overly broad permissions.
Opaque execution
Model, tool, and data actions lack a consistent execution record.
Drifting cost
Loops and complex workflows can consume model and system resources without clear limits.
Treat each Agent as a governed digital work unit
AgentOS provides runtime, connectivity, and governance foundations with configurable human approval for high-risk steps.
Agent identity
Assign an identity, owner, and operating scope to every Agent.
Tool connectivity
Connect knowledge, databases, APIs, and business systems.
Approvals and exceptions
Add human approval, timeout, and exception handling to critical actions.
Runtime governance
Track model use, cost, tool calls, and execution outcomes.
Typical deliverables
- Agent use-case and boundary design
- Connector and runtime configuration
- Permission, budget, and approval policy
- Pilot, monitoring, and optimization plan
Who this is for
- Enterprises integrating AI into business workflows
- Critical processes requiring human approval
- Teams with Agent prototypes but no operating governance
Next step