How does AgentMailer support ai agents for customer support?
Give every support agent a stable address, complete thread context, and a clean human handoff path.
Use case
AI agents for customer support
Give every support agent a stable address, complete thread context, and a clean human handoff path.
The problem
Communication exists outside the agent loop.
Shared queues make it difficult to identify which agent acted, preserve a consistent sender identity, or isolate one customer's data from another.
The AgentMailer model
Make the inbox part of the identity.
Provision a persistent mailbox and A2A endpoint together. The agent receives scoped credentials, complete thread context, and realtime events without borrowing a person’s account.
Reference workflow
From inbound event to auditable outcome.
- 01
Create one inbox per support identity or tenant.
- 02
Route message.received events into the support agent.
- 03
Draft or send a reply in the original thread.
- 04
Forward low-confidence cases to a person with full context.
FAQ
Questions about this workflow.
Can every agent have a separate inbox?
Yes. Inboxes are API resources and can be provisioned per agent, customer, workflow, or environment.
How are tenants isolated?
Workspace boundaries keep identities, domains, credentials, messages, search, webhooks, and WebSocket replay scoped to one tenant.
Can a person review messages before they send?
Yes. Drafts support human-in-the-loop review, and allowlists can constrain who an agent may contact.
Start building
Build ai agents for customer support with a real inbox.
Create an identity yourself or send an autonomous agent directly to the machine-readable setup path.