AI compiles incident timelines, impact assessments, and root cause analysis from multiple sources. Your team verifies before distribution.
Incident reports are often delayed because compiling information from monitoring tools, chat logs, and system data during a stressful outage is time-consuming. Stakeholders wait hours or days for updates while the engineering team is focused on resolution. When reports finally arrive, they're often incomplete or inconsistent because they were written under pressure.
MultiMail's AI agent compiles incident information from your monitoring systems, generates structured incident reports with timelines, impact assessments, and remediation steps, then distributes them to stakeholders. Gated_send oversight ensures reports are reviewed for accuracy before distribution, which is critical given the sensitive nature of incident communications.
Your monitoring system triggers the AI agent when an incident is detected — outage, performance degradation, security event, or safety incident.
The agent pulls data from monitoring dashboards, alert logs, and system metrics to build a comprehensive incident timeline and impact assessment.
The AI composes a professional incident report with sections for summary, timeline, impact, root cause, remediation steps, and follow-up actions.
Under gated_send, the report enters the approval queue. The incident commander or engineering lead reviews for accuracy before the report is sent to all stakeholders via send_email.
import requests
from datetime import datetime
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def generate_incident_report(incident: dict):
report = (
f"Incident Report: {incident[&"cm">#039;title']}\n"
f"{&"cm">#039;=' * 50}\n\n"
f"Severity: {incident[&"cm">#039;severity']}\n"
f"Duration: {incident[&"cm">#039;start']} — {incident['end']}\n"
f"Impact: {incident[&"cm">#039;impact_summary']}\n\n"
f"Timeline:\n"
+ "\n".join(
f" {e[&"cm">#039;time']} — {e['description']}"
for e in incident["timeline"]
)
+ f"\n\nRoot Cause:\n{incident[&"cm">#039;root_cause']}\n\n"
f"Remediation:\n{incident[&"cm">#039;remediation']}\n\n"
f"Follow-up Actions:\n"
+ "\n".join(f" - {a}" for a in incident["action_items"])
)
# Send to stakeholders (queued for IC review)
response = requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": "[email protected]",
"subject": f"Incident Report: {incident[&"cm">#039;title']} - {incident['start']}",
"text_body": report,
"html_body": build_report_html(incident)
}
)
print(f"Report queued for review: {response.json()[&"cm">#039;id']}")Compile incident data and generate a structured report for stakeholder distribution.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_status_update(incident_id: str, update: dict):
body = (
f"Incident Update: {update[&"cm">#039;title']}\n\n"
f"Status: {update[&"cm">#039;status']}\n"
f"Current impact: {update[&"cm">#039;current_impact']}\n\n"
f"Latest development:\n{update[&"cm">#039;description']}\n\n"
f"Next update expected: {update[&"cm">#039;next_update_eta']}"
)
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": "[email protected]",
"subject": f"[UPDATE] {update[&"cm">#039;title']} - {update['status']}",
"text_body": body,
"html_body": f"<h2>Incident Update</h2><p>{body}</p>",
"thread_id": incident_id
}
)Distribute real-time status updates to stakeholders while an incident is ongoing.
"cm">// Using MultiMail MCP tools for incident reports
async function distributeIncidentReport(incident: Incident) {
const report = compileReport(incident);
"cm">// Send report (queued for IC review under gated_send)
await mcp.send_email({
to: "[email protected]",
subject: `Incident Report: ${incident.title} - ${incident.startTime}`,
text_body: formatReportText(report)
});
"cm">// Also notify on-call team
await mcp.send_email({
to: "[email protected]",
subject: `[ACTION REQUIRED] ${incident.title} - follow-up items`,
text_body: formatActionItems(report.actionItems)
});
"cm">// Tag for incident tracking
await mcp.tag_email({
email_id: report.emailId,
tags: ["incident-report", incident.severity, incident.category]
});
}Generate and distribute incident reports using MultiMail MCP tools.
AI compiles information from multiple sources and generates a structured report in minutes. Stakeholders get informed while the incident is still fresh.
Every incident report follows the same structured format with timeline, impact, root cause, and action items. No more inconsistent, ad-hoc emails.
Gated send ensures the incident commander or engineering lead reviews the report for accuracy before it reaches stakeholders. This prevents premature root cause attributions or incorrect impact assessments.
Every incident report and its distribution is logged in MultiMail's audit trail, providing evidence of timely incident notification for SOC2 and other compliance requirements.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.