AI reads receipt emails, extracts vendor, amount, and category, then sends confirmation summaries. Expense tracking on autopilot.
Receipt management is tedious and error-prone. Important receipts get buried in inboxes, expenses go uncategorized until tax season, and manual data entry is a waste of time. For businesses processing hundreds of receipts monthly, the backlog grows until it becomes a compliance risk at audit time.
MultiMail's AI agent processes incoming receipt emails automatically — extracting vendor name, amount, date, and expense category from the email content. It sends a confirmation email to the submitter verifying the extracted data and categorization. Autonomous oversight handles both the inbound processing and outbound confirmations reliably.
Receipts are forwarded to a dedicated MultiMail mailbox. The AI agent uses check_inbox and read_email to process new receipt emails as they arrive.
The agent parses the receipt email to extract vendor name, transaction amount, date, payment method, and line items. It handles various receipt formats from different vendors.
Based on the vendor and line items, the AI categorizes the expense (travel, meals, software, office supplies, etc.) using your company's chart of accounts.
The agent sends a confirmation email to the submitter with the extracted data and category. The submitter can reply with corrections if any data was extracted incorrectly.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def process_receipts():
inbox = requests.get(
f"{API}/mailboxes/receipts-mailbox-id/inbox",
headers=HEADERS,
params={"status": "unread", "limit": 50}
).json()
for msg in inbox["emails"]:
email = requests.get(
f"{API}/emails/{msg[&"cm">#039;id']}", headers=HEADERS
).json()
# Extract receipt data using AI
receipt_data = extract_receipt_data(email["text_body"])
category = categorize_expense(receipt_data["vendor"])
# Store in your accounting system
save_expense(receipt_data, category)
# Send confirmation to submitter
send_confirmation(email["from"], receipt_data, category)
# Tag for tracking
requests.post(
f"{API}/emails/{email[&"cm">#039;id']}/tags",
headers=HEADERS,
json={"tags": ["receipt-processed", category]}
)Monitor the receipts mailbox and extract data from new receipt emails.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_confirmation(submitter: str, data: dict, category: str):
body = (
f"Receipt processed successfully!\n\n"
f"Vendor: {data[&"cm">#039;vendor']}\n"
f"Amount: ${data[&"cm">#039;amount']:.2f}\n"
f"Date: {data[&"cm">#039;date']}\n"
f"Category: {category}\n"
f"Payment method: {data.get(&"cm">#039;payment_method', 'Unknown')}\n\n"
f"If any details are incorrect, reply with corrections.\n"
f"Example: &"cm">#039;Category: Travel' to change the category."
)
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": submitter,
"subject": f"Receipt processed: ${data[&"cm">#039;amount']:.2f} at {data['vendor']}",
"text_body": body,
"html_body": build_confirmation_html(data, category)
}
)Confirm extracted receipt data with the submitter and allow corrections.
"cm">// Using MultiMail MCP tools for receipt processing
async function processReceipts() {
const inbox = await mcp.check_inbox({
mailbox_id: "receipts-mailbox-id",
status: "unread",
limit: 50
});
for (const msg of inbox.emails) {
const email = await mcp.read_email({ email_id: msg.id });
"cm">// Extract and categorize
const data = extractReceiptData(email.text_body);
const category = categorizeExpense(data.vendor);
"cm">// Send confirmation
await mcp.send_email({
to: email.from,
subject: `Receipt processed: $${data.amount.toFixed(2)} at ${data.vendor}`,
text_body: [
`Receipt processed!`,
`Vendor: ${data.vendor}`,
`Amount: $${data.amount.toFixed(2)}`,
`Category: ${category}`,
``,
`Reply with corrections if needed.`
].join("\n")
});
"cm">// Tag the original
await mcp.tag_email({
email_id: email.id,
tags: ["receipt-processed", category]
});
}
}Process receipts and send confirmations using MultiMail MCP tools.
AI extracts vendor, amount, date, and category from receipt emails automatically. No more manual data entry into spreadsheets or expense systems.
Expenses are categorized against your chart of accounts the moment a receipt is received. No more end-of-month categorization marathons.
Confirmation emails let submitters verify and correct extracted data by simple reply. This creates a feedback loop that improves extraction accuracy over time.
Every receipt, extraction, and confirmation is logged in MultiMail's audit trail. When auditors ask for documentation, you have a complete, timestamped record.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.