AI compiles your metrics and drafts polished investor updates. You review every word before it reaches your cap table.
Monthly investor updates take founders 3-5 hours to write. They require gathering metrics from multiple sources, crafting narratives around the numbers, and choosing the right tone for both good and bad news. The result is that updates get delayed, skipped, or rushed — damaging investor relationships.
MultiMail's AI agent pulls your key metrics, compiles highlights and challenges, and drafts a professional investor update. With gated_all oversight, every element of the email is reviewed before delivery — because financial metrics and forward-looking statements demand human verification.
Your AI agent pulls MRR, growth rates, runway, headcount, and other KPIs from your data sources. It formats these into the standard sections investors expect.
The agent composes a narrative covering highlights, challenges, key metrics, and asks. It maintains the founder's voice and adapts tone based on performance trends.
With gated_all oversight, the entire update lands in the approval queue. The founder verifies every metric, edits the narrative, and ensures forward-looking statements are appropriate.
Once approved, the update is sent to your investor distribution list. MultiMail logs delivery and provides an audit trail of all investor communications.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def draft_investor_update(metrics: dict) -> str:
"""Your AI drafting logic for investor updates."""
return f"""Hi investors,
February highlights:
- MRR: ${metrics[&"cm">#039;mrr']:,} (up {metrics['mrr_growth']}% MoM)
- Customers: {metrics[&"cm">#039;customers']} (net +{metrics['net_new']})
- Runway: {metrics[&"cm">#039;runway_months']} months
Key wins: {metrics[&"cm">#039;highlights']}
Challenges: {metrics[&"cm">#039;challenges']}
Asks: {metrics[&"cm">#039;asks']}"""
metrics = gather_monthly_metrics()
update = draft_investor_update(metrics)
# Send to investor list (queued for founder review)
investors = requests.get(
f"{API}/contacts/search",
headers=HEADERS,
params={"tags": "investor"}
).json()
for investor in investors["contacts"]:
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": investor["email"],
"subject": f"MultiMail February update: ${metrics[&"cm">#039;mrr']:,} MRR",
"text_body": update
}
)Compile metrics and draft a polished investor update email for founder review.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
"cm"># Add a new investor to your distribution list
response = requests.post(
f"{API}/contacts",
headers=HEADERS,
json={
"email": "[email protected]",
"name": "Jane Smith",
"tags": ["investor", "lead-investor", "series-a"]
}
)
print(f"Investor added: {response.json()[&"cm">#039;id']}")
# Search investors by round
series_a = requests.get(
f"{API}/contacts/search",
headers=HEADERS,
params={"tags": "series-a"}
).json()
print(f"Series A investors: {len(series_a[&"cm">#039;contacts'])}")Maintain your investor distribution list with proper tagging for targeted communications.
"cm">// Investor update workflow via MCP tools
"cm">// 1. Find all investors
const investors = await mcp.search_contacts({
tags: ["investor"]
});
"cm">// 2. Send update to each investor
for (const investor of investors.contacts) {
await mcp.send_email({
from: "[email protected]",
to: investor.email,
subject: "MultiMail February update: $42K MRR",
text_body: `Hi ${investor.name},\n\nFebruary highlights: MRR grew 18% to $42K...`
});
}
"cm">// 3. Check for investor replies
const inbox = await mcp.check_inbox({
mailbox_id: "founder-mailbox-id",
status: "unread"
});Use MultiMail MCP tools to manage investor communications from your AI agent.
AI compiles metrics and drafts the narrative in minutes instead of the 3-5 hours founders typically spend writing monthly updates.
Automated drafting means updates actually ship on time every month. No more skipped months that damage investor confidence.
Gated_all oversight means the founder reviews and approves the entire update. Financial metrics and forward-looking statements are never sent without human verification.
Every investor update is logged with delivery status, providing a complete record of investor communications for governance and compliance.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.