Swiftask aggregates data from your Monta charging stations across different sites. Keep an eye on your entire fleet from a single interface.
Result:
Improve maintenance response times and ensure maximum availability for your users.
AI Agents
monta
Connector monta · Secure OAuth 2.0
Managing chargers at a single location is easy. Managing a multi-site network is an operational hurdle. Each site has unique characteristics, usage rates, and maintenance needs.
Main negative impacts:
Fragmented availability
Without a bird's-eye view, a broken charger at a remote site can stay down for days before anyone notices.
Reporting overload
Manually compiling data from each site to analyze overall performance is time-consuming and error-prone.
Limited reactivity
The lack of centralized notifications prevents quick intervention in case of critical anomalies at any of your charging points.
Swiftask connects to Monta to centralize data from all your locations. Benefit from intelligent monitoring that alerts you to critical events, wherever they occur.
BEFORE / AFTER
Traditional management
You must manually log into the Monta interface for each site, check charger status, and generate separate reports. You only discover outages after users complain.
Monitoring with Swiftask
Swiftask queries your Monta chargers continuously. You receive a unified notification as soon as a charger goes offline, regardless of the site. Your dashboards show the health of your entire network.
1
STEP 1 : Link your Monta account to Swiftask
Connect your Monta instance via secure API. Swiftask automatically imports your list of chargers and sites.
2
STEP 2 : Define your monitoring indicators
Choose the events to monitor: offline chargers, charging errors, abnormal occupancy rates.
3
STEP 3 : Configure alert channels
Determine where to receive notifications: Slack, Teams, email, or via an automated workflow in Swiftask.
4
STEP 4 : Activate intelligent monitoring
Your AI agent analyzes Monta streams in real-time. You receive only relevant alerts for immediate action.
The agent analyzes connection status, Monta error codes, and site usage history to detect failure trends.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-monta@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Detect and resolve outages before users are impacted.
Optimize technician travel with precise remote diagnostics.
Compare performance across sites to better plan future investments.
Apply the same monitoring standards to all your sites, regardless of location.
Never miss a critical alert again with our proactive notification system.
Swiftask applies enterprise-grade security standards for your monta automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Outage detection time | Several hours (manual) | Minutes (automatic) |
| Fleet availability | Variable by site | Optimized and consistent |
| Administrative management time | High (manual reporting) | Low (automated) |
| Maintenance reactivity | Reactive (after the fact) | Proactive (anticipated) |
Improve maintenance response times and ensure maximum availability for your users.