Historical data exposure
A real mailbox contains years of threads, contacts, attachments and sensitive data that the agent does not need.
Give AI agents access to email without exposing credentials or uncontrolled inboxes.
Mail4AI provides dedicated mailboxes for AI agents, with allowlist-based access control and MCP-compatible interfaces. Credentials remain outside the model context.
Classic email connectors often open a broad perimeter: message history, OAuth permissions, attachments and sending capability. For a production AI agent, that channel must be isolated, filtered and auditable.
A real mailbox contains years of threads, contacts, attachments and sensitive data that the agent does not need.
Gmail or Outlook OAuth scopes rarely provide the isolation level expected for a specialized agent.
Inbound emails and attachments can carry malicious instructions and must stay marked as external content.
An agent should only write to approved recipients, with verifiable rules and audit traces.
Mail4AI creates a controlled email channel between business workflows and AI agents. Agents receive, read and reply through MCP-compatible tools, without direct access to internal mailboxes.
Agents need email access without inheriting corporate mailbox risk.
Create governed inboxes per agent, workflow or pilot.
Pilot a document intake agent without opening a shared inbox.A prototype needs to become a reliable workflow that teams can operate.
Move from experiment to commercial beta with explicit controls.
Launch a customer-facing agent email workflow with auditability.Email input can carry sensitive data, attachments and prompt injection.
Keep every exchange limited, labeled and reviewable.
Review the exact boundary before approving a production pilot.Client projects need repeatable infrastructure, not ad hoc mailbox setups.
Reuse a controlled gateway across customers and workflows.
Deliver supplier invoice automation without Gmail delegation.Operational inboxes are busy, sensitive and difficult to automate safely.
Route only the workflow email an agent needs to process.
Let an agent request missing documents from approved contacts.A dedicated address receives contracts, forms or evidence. The agent extracts useful information and asks for missing items.
An agent qualifies requests, drafts a response, asks for required details and escalates when the case is outside scope.
Invoices arrive in a dedicated inbox. The agent checks key fields, flags potential issues and prepares accounting intake.
Contracts and amendments are isolated per workflow so the agent sees only the documents required for review.
Recurring requests are collected, clarified and routed to internal systems with a usable trace.
Mail4AI treats every email as external input. Mailboxes are isolated, access is limited to the use case and sensitive operations remain reviewable for product, security and platform teams.
Read the Security overviewEach mailbox is scoped to a single agent and tenant. Isolation controls are applied at the application and infrastructure layers.
Decide exactly who can contact each agent and who each agent can write to.
OAuth and mailbox secrets stay in the runtime and remain outside prompts or Markdown.
Email operations are exposed through MCP-compatible interfaces, with clear boundaries between external message content and trusted system instructions.
Received files go through a dedicated path with explicit limits before they are made available to agents.
Activity logs, a published DPA and hosting in France with OVHcloud support European deployments.
These answers match the workflow boundary and mailbox model described on this page.
An AI agent mailbox is a dedicated inbox scoped to an agent or workflow, so the agent can process email without broad access to a real corporate mailbox.
Mail4AI is not a human email suite. It provides controlled agent inboxes and MCP/API access for AI workflows that should not use direct Gmail or Outlook delegation.
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