Protect Operations From Weather Disruptions

AI monitors weather conditions and sends proactive notifications to affected teams before disruptions impact your operations.


Why this matters

Weather disruptions cause costly delays in agriculture, construction, logistics, and outdoor operations. Manual weather monitoring doesn't scale across regions, and by the time someone checks the forecast and sends an alert, the disruption is already underway. Teams need proactive, automated alerts based on conditions that specifically affect their operations.


How MultiMail solves this

MultiMail's autonomous mode delivers weather-triggered notifications without delay. The AI monitors weather conditions for your operational locations, detects conditions that impact your specific activities, and sends actionable notifications to affected teams before disruptions begin.

1

Monitor Weather Data

The AI agent monitors weather forecasts and real-time conditions for your operational locations — temperature, precipitation, wind speed, UV index, and severe weather alerts.

2

Detect Impact Conditions

The agent evaluates conditions against your operational thresholds. Frost warnings trigger agricultural alerts, high winds affect construction, and ice storms impact logistics.

3

Identify Affected Operations

Using contact tags for location and operation type, the AI identifies exactly which teams and sites are affected by the weather condition.

4

Send Actionable Alert

In autonomous mode, weather notifications are sent immediately with specific action instructions — cover equipment, delay delivery routes, or suspend outdoor work.


Implementation

Send Weather Alert to Field Teams
python
import requests

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

def send_weather_alert(condition: dict, location: str):
    "cm"># Find teams at affected location
    affected = requests.get(
        f"{API}/contacts/search",
        headers=HEADERS,
        params={"tags": f"field-team,location-{location}"}
    ).json()

    body = (
        f"Weather Alert: {condition[&"cm">#039;type']}\n\n"
        f"Location: {location}\n"
        f"Condition: {condition[&"cm">#039;description']}\n"
        f"Expected: {condition[&"cm">#039;timing']}\n"
        f"Duration: {condition[&"cm">#039;duration']}\n\n"
        f"Required actions:\n{condition[&"cm">#039;instructions']}\n\n"
        f"Source: {condition[&"cm">#039;source']}"
    )

    for person in affected["contacts"]:
        requests.post(
            f"{API}/send",
            headers=HEADERS,
            json={
                "from": "[email protected]",
                "to": person["email"],
                "subject": f"Weather alert: {condition[&"cm">#039;type']} - {location}",
                "text_body": body
            }
        )

    print(f"Alert sent to {len(affected[&"cm">#039;contacts'])} team members")

send_weather_alert(
    {"type": "Frost warning",
     "description": "Overnight low of 28F expected",
     "timing": "Tonight 11pm - tomorrow 7am",
     "duration": "8 hours",
     "instructions": "- Cover all frost-sensitive equipment\n- Drain exposed water lines\n- Delay morning start to 9am",
     "source": "National Weather Service"},
    "north-field"
)

Detect weather conditions and notify affected operations teams.

Configure Location-Based Monitoring
python
import requests

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

"cm"># Register field team at location
def register_field_team(members: list, location: str, operation: str):
    for member in members:
        requests.post(
            f"{API}/contacts",
            headers=HEADERS,
            json={
                "email": member["email"],
                "name": member["name"],
                "tags": ["field-team", f"location-{location}",
                         f"operation-{operation}", "weather-alerts"]
            }
        )
    print(f"Registered {len(members)} members at {location}")

register_field_team(
    [{"email": "[email protected]", "name": "Site Foreman"}],
    "north-field",
    "agriculture"
)

Set up location tags for operations teams to enable targeted weather alerts.

MCP Tool Integration
typescript
"cm">// Weather-dependent notification via MCP

"cm">// 1. Find teams at affected location
const affected = await mcp.search_contacts({
  tags: ["field-team", `location-${location}`]
});

"cm">// 2. Send weather alert
for (const person of affected.contacts) {
  await mcp.send_email({
    from: "[email protected]",
    to: person.email,
    subject: `Weather alert: Frost warning - protect outdoor equipment tonight`,
    text_body: `A frost warning has been issued for ${location} tonight (low of 28F). Please ensure all outdoor equipment is covered and water lines are drained.`
  });
}

console.log(`Weather alert sent to ${affected.contacts.length} team members`);

Use MultiMail MCP tools for weather-dependent notifications.


What you get

Proactive Disruption Prevention

Teams receive weather alerts before conditions hit, giving them time to protect equipment, adjust schedules, and prevent costly damage.

Location-Targeted Notifications

Only teams at affected locations receive alerts. Teams in unaffected regions aren't distracted by irrelevant weather notifications.

Actionable Instructions

Every alert includes specific action items — not just "bad weather coming" but exactly what to do: cover equipment, drain lines, delay start times.

Instant Delivery

Autonomous mode sends weather alerts as soon as conditions are detected. Delayed alerts defeat the purpose of proactive weather notification.


Recommended oversight mode

Recommended
autonomous
Weather alerts are time-sensitive, data-driven notifications where any delivery delay reduces the team's preparation window. The content is factual (conditions, timing, instructions) sourced from weather services, making autonomous delivery both safe and necessary.

Common questions

What weather data sources does this use?
You provide the weather data integration — National Weather Service APIs, commercial weather services, or IoT sensors. MultiMail handles the email delivery. The AI composes notifications from whatever weather data you provide.
Can I set different thresholds for different operations?
Yes. Construction might care about wind speeds above 25 mph, while agriculture cares about frost warnings below 32F. Configure operation-specific thresholds and the AI sends alerts only when conditions affect each specific operation type.
How do I handle multi-day weather events?
Send an initial alert when the event is forecast, daily updates while conditions persist, and an all-clear notification when the threat passes. Tag each alert to avoid sending duplicate initial warnings.
Can I include satellite imagery or weather maps?
MultiMail supports HTML emails with embedded images. Include weather map URLs or attach radar images to give teams visual context alongside the text-based alert information.

Explore more use cases

The only agent email with a verifiable sender

Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.