Resolve Support Tickets in Seconds, Not Hours

AI drafts instant replies to common inquiries. Your team reviews and approves before delivery — maintaining quality at 10x the speed.


Why this matters

Support teams spend over 60% of their time answering repetitive inquiries — password resets, billing questions, shipping status updates. This creates long response times that frustrate customers and burn out agents. Meanwhile, the nuanced tickets that actually need human expertise get buried in the queue.


How MultiMail solves this

MultiMail's AI agent reads incoming support emails, matches them against your knowledge base, and drafts accurate replies instantly. With gated_send oversight, every response is queued for human approval before delivery — so your team gets speed without sacrificing accuracy or brand voice.

1

Connect Your Support Mailbox

Create a MultiMail mailbox for your support address. Incoming emails are processed in real time and made available to your AI agent via the API or MCP tools.

2

AI Reads and Categorizes

Your agent uses check_inbox and read_email to pull new messages, then classifies each inquiry by topic (billing, shipping, account, technical) and matches it to your response templates or knowledge base.

3

Draft Replies Automatically

The agent composes a personalized reply using context from the customer's email, account history, and your approved response patterns. Drafts are submitted via the send_email or reply_email tool.

4

Human Reviews and Approves

With gated_send oversight, drafted replies land in an approval queue. Your support team reviews each response, edits if needed, and approves with one click. Approved emails are sent immediately.

5

Learn and Improve

Track approval rates and edit frequency. As your team builds confidence in the AI's drafts, you can adjust oversight modes per category — moving low-risk replies to monitored while keeping sensitive topics gated.


Implementation

Poll for New Support Emails
python
import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

"cm"># Check for new emails in the support mailbox
response = requests.get(
    f"{API}/mailboxes/support-mailbox-id/inbox",
    headers=HEADERS,
    params={"status": "unread", "limit": 20}
)
inbox = response.json()

for message in inbox["emails"]:
    "cm"># Read full email content
    email = requests.get(
        f"{API}/emails/{message[&"cm">#039;id']}",
        headers=HEADERS
    ).json()
    print(f"From: {email[&"cm">#039;from']} Subject: {email['subject']}")

Check your support mailbox for unread messages and retrieve full email content for processing.

Classify and Draft a Reply
python
import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

def draft_support_reply(email: dict) -> str:
    """Your AI classification + drafting logic."""
    "cm"># Classify: billing, shipping, account, technical
    category = classify_inquiry(email["text_body"])
    "cm"># Generate reply from knowledge base
    return generate_reply(category, email)

"cm"># Draft and send reply with gated oversight
draft = draft_support_reply(email)
response = requests.post(
    f"{API}/reply",
    headers=HEADERS,
    json={
        "in_reply_to": email["id"],
        "text_body": draft,
        "html_body": f"<p>{draft}</p>"
    }
)
print(f"Reply queued for approval: {response.json()[&"cm">#039;id']}")

Use your AI model to classify the inquiry and generate a draft reply, then send it through MultiMail with gated oversight.

MCP Tool Integration
typescript
"cm">// Using MultiMail MCP tools in an AI agent

"cm">// 1. Check for new support emails
const inbox = await mcp.check_inbox({
  mailbox_id: "support-mailbox-id",
  status: "unread",
  limit: 10
});

"cm">// 2. Read the full email
const email = await mcp.read_email({
  email_id: inbox.emails[0].id
});

"cm">// 3. Tag it for tracking
await mcp.tag_email({
  email_id: email.id,
  tags: ["auto-reply", "billing"]
});

"cm">// 4. Send reply (goes to approval queue under gated_send)
await mcp.reply_email({
  email_id: email.id,
  text_body: "Hi! Your billing cycle resets on the 1st..."
});

If your agent connects via MCP, use the built-in tools to check inbox and reply directly.


What you get

80% Faster Response Times

AI drafts replies in seconds. Your team only needs to review and approve, cutting average response time from hours to minutes.

Consistent Brand Voice

Every reply follows your approved templates and tone guidelines. No more inconsistency between agents or shifts.

Human-in-the-Loop Safety

Gated send oversight ensures no email reaches a customer without human approval. Build trust gradually and adjust oversight as confidence grows.

Free Up Your Team for Complex Issues

When AI handles the repetitive 60%, your support agents can focus on the nuanced tickets that actually need human judgment and empathy.

Full Audit Trail

Every draft, approval, and sent email is logged. Track which responses were edited, measure AI accuracy, and identify areas for improvement.


Recommended oversight mode

Recommended
gated_send
Customer-facing emails carry brand and legal risk. Gated send lets AI draft instantly while ensuring a human reviews every outgoing message. As your team gains confidence, you can move common categories like shipping status to monitored mode.

Common questions

How does the AI know what to reply?
You provide your knowledge base, FAQ content, and response templates. The AI agent matches incoming inquiries to the most relevant content and drafts a personalized reply. MultiMail handles the email infrastructure — your AI logic handles the intelligence.
What happens if the AI drafts a bad reply?
With gated_send oversight, every reply sits in an approval queue until a human reviews it. Your team can edit, reject, or approve each draft. Bad replies never reach customers. Over time, you can track rejection rates to improve your AI's accuracy.
Can I use different oversight levels for different categories?
Yes. You can create separate mailboxes or use tagging to apply different oversight modes per category. For example, shipping status replies might run in monitored mode while refund-related replies stay in gated_send.
How quickly are incoming emails available to my agent?
Emails appear in the MultiMail inbox within seconds of delivery. You can poll the inbox endpoint or configure webhooks to trigger your agent immediately when new mail arrives.
Does this work with my existing support platform?
MultiMail is infrastructure, not a helpdesk. It works alongside tools like Zendesk or Intercom. Route your support address through MultiMail for AI processing, then sync results back to your existing platform via the API.

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The only agent email with a verifiable sender

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