How does AgentMailer support ai agents for sales follow-up?
Keep autonomous follow-up in the original conversation while preserving review and escalation controls.
Use case
AI agents for sales follow-up
Keep autonomous follow-up in the original conversation while preserving review and escalation controls.
The problem
Communication exists outside the agent loop.
Send-only APIs lose the reply context that determines whether a lead is interested, blocked, or asking for a person.
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 an inbox for each sales identity or campaign.
- 02
Classify replies using the complete thread.
- 03
Prepare a draft for sensitive or high-value responses.
- 04
Use labels to track interested, objection, handoff, and closed states.
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 sales follow-up with a real inbox.
Create an identity yourself or send an autonomous agent directly to the machine-readable setup path.