AI AGENT INTEGRATIONS
This hub organizes the system layer: authoritative sources, agent read/write access and controls for each connection. It does not compete with the enterprise integration landing, which retains broad cross-system implementation intent.
SYSTEM LAYER
Each category explains access, matching, permissions, validation, fallback and audit. A system participating in a workflow does not make its integration page the owner of process-automation intent.
CRM integration with AI means granting verifiable, bounded access to CRM data and actions; it is not the same as automating sales or support itself.
ERP integration with AI means bounded access to verifiable data and operations; it does not imply general permission to modify accounting, orders or master data.
Email integration with AI means controlling what the agent may read, draft and send; each capability needs independent permissions and rules.
Calendar integration connects AI to availability and events under explicit permissions; seeing a free slot does not mean having authority to book it.
Ecommerce integration with AI means connecting verifiable order data and actions under explicit policies; it does not mean blindly automating every purchase or return.
Ticketing integration connects AI to the case lifecycle; classification, priority, reassignment and closure require explicit rules and authority.
Document management integration with AI means preserving provenance, version, permissions and extraction confidence so the correct document remains verifiable.
INTEGRATION CRITERIA
Define which system contains the data considered true for each decision.
Separate read, propose, write and sensitive actions into distinct permissions.
Design what happens when the system fails, data is ambiguous or an action requires human approval.
FROM SYSTEM TO PROCESS
The architecture can adapt to other systems when reliable interfaces and a well-defined process exist, but each connector must be validated in the specific environment.
