Connectors
Imported content for Connectors.
Connectors
Connectors are the operational bridge between bondingAI AIOS and the systems where work already happens. They let teams bring messages, events, and business data into AI flows without bypassing governance.
Why Connectors Matter for Business Teams
- Accelerate adoption by meeting users in existing channels.
- Reuse enterprise systems (CRM, finance, operations) instead of rebuilding data flows.
- Keep identity, permissions, and audit controls consistent across every integration.
Connector Portfolio
| Connector Domain | Typical Examples | Business Outcome |
|---|---|---|
| Engagement channels | WhatsApp, Microsoft Teams, Slack... | Reach users in their daily collaboration tools |
| Business systems | CRM, ERP and operational APIs (Salesforce, Britix, SAP) | Bring live enterprise context into agent decisions |
| Integration APIs | Any application with API specification | Integrating A.I into existing Business Processes |
Current Implementation Status
The connector model already supports multiple channel types in the platform taxonomy.
| Type | Status |
|---|---|
| Salesforce | Beta |
| Implementation Phase | |
| Microsoft Teams | Implementation Phase |
| SAP | Implementation Phase |
Runtime Flow (Frontend to AI Response)
Governance and Control Surface
Connectors follow the same control model used across the platform:
- Permission-gated operations for listing, creating, configuring, and interacting with connectors.
- Scoped identity context so requests are tied to tenant, domain, and user boundaries.
- Auditable asynchronous processing to preserve traceability for message handling and AI responses. For cross-platform policy and risk controls, see Security and AI Governance.