Custom enterprise Agents
Build enterprise Agents around real operating workflows
Move from workflow discovery to Agent design, integration, pilot, deployment, and continuous improvement.
Global models
Local models
Governance control plane
Identity
Cost & value
Security audit
Employees
Business systems
AgentOS
Agent initiatives rarely fail because the model is not powerful enough
Scope is too broad
Projects attempt to replace whole workflows without a testable task boundary.
Systems are disconnected
Agents cannot reliably access enterprise knowledge, data, and tools.
No operating owner
Post-launch ownership for permissions, incidents, audit, and improvement is unclear.
Start with one measurable unit of work
AIPay defines the task, inputs, outputs, approvals, and exceptions with business owners, then pilots the Agent on AgentOS.
Workflow discovery
Identify frequent, bounded, and measurable work.
System integration
Connect knowledge, CRM, ticketing, development, or internal APIs.
Agent development
Implement task planning, tool use, approvals, and exception handling.
Operating optimization
Iterate using quality, cost, and business feedback.
Typical deliverables
- Workflow and Agent specification
- Agent prototype and connectors
- Pilot and evaluation report
- Deployment and support plan
Who this is for
- Finance, service, sales, engineering, and knowledge teams
- Business units with clear recurring workflows
- Organizations requiring custom system integration
Next step