1.0
Trust the message path
Inbound support starts with signature checks, dedupe, retention, and project routing before a model receives context.
- Signature checks
- Original message evidence
- Thread dedupe
Home
Product
Inbox
Verified inbound email, project routing, risk labels, and original message evidence before any AI-generated work begins.
Source
Email
Inbound messages enter through verified routes.
Routing
Project
Support identities map to scoped project context.
Safety
Before AI
Verification and normalization happen first.
2.0
Review with the right context
Each thread carries customer history, project policy, knowledge coverage, and risk state into the workbench.
- Customer profile
- Project scope
- Intent and risk badges
Operations
What this means in production.
These pages describe the product contract behind the UI, not a decorative brochure. Each surface should connect back to the same governed support loop.
Control boundary
Untrusted content is normalized before prompting.
Operator workflow
Support moves through secure ingest, AI preparation, human approval, outbound execution, and audit evidence.
Configuration impact
Provider setup, project policies, knowledge trust, retention, and billing limits decide how this behaves for a real workspace.
Proof points
Designed for governed support, not hidden autonomy.
Untrusted content is normalized before prompting.
Workspace scope is derived from membership.
Message evidence remains inspectable.
References
Official stack and legal references.
These external links point to provider documentation, privacy notices, data-processing terms, or platform terms that shape production operation.
Next