Optimize your Monta charging sessions with smart AI scheduling
Swiftask connects your AI agents to Monta. Automate your charging sessions based on energy prices, charger availability, and your mobility needs.
Result:
Lower your electricity bills and maximize charger utilization without manual intervention.
AI Agents
monta
Connector monta · Secure OAuth 2.0
The complexity of manually managing Monta chargers
Managing an electric vehicle fleet requires constant vigilance over grid tariffs and driver schedules. Without automation, charging often occurs during peak price periods, unnecessarily inflating your energy budget.
Main negative impacts:
Non-optimized energy costs
Charging without considering market price fluctuations drives up operational expenses.
Inefficient manual management
Manually adjusting each schedule is time-consuming and prone to errors for fleet managers.
Underutilized infrastructure
Without dynamic planning, your chargers may remain idle during advantageous off-peak periods.
Swiftask lets you build AI agents that control your Monta account. They automatically adjust charging schedules based on real-time data, ensuring economic charging that meets all your operational requirements.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
The manager manually checks energy prices for the next day and tries to adjust sessions on Monta. If prices change suddenly, programmed sessions become inefficient. It is a daily waste of time.
With Swiftask + Monta
Your AI agent analyzes price forecasts and charging requirements. It dynamically modifies schedules on Monta to prioritize off-peak hours. You save money without lifting a finger.
4 steps to automate your charging schedules
1
STEP 1 : Initialize your AI agent in Swiftask
Configure an agent dedicated to energy optimization, capable of interacting with pricing APIs and Monta.
2
STEP 2 : Connect your Monta account
Integrate your Monta chargers into Swiftask via a secure API connection to allow remote control.
3
STEP 3 : Define your optimization rules
Set price thresholds, vehicle availability hours, and charging priorities.
4
STEP 4 : Let AI drive the schedules
The agent continuously adjusts Monta sessions to ensure the best energy cost daily.
Advanced features for your Monta chargers
The agent analyzes energy market data, current vehicle state of charge, and planned travel calendars.
- Target connector: The agent performs the right actions in monta based on event context.
- Automated actions: Automatic charging session planning. Real-time power adjustment. Alerts for charger anomalies. Savings reports generation.
- Native governance: All modifications to your Monta schedules are logged for transparent auditing.
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.
Operational gains of smart scheduling
Drastic cost reduction
Systematically optimize your charging sessions during the best energy price periods.
Automated fleet management
Free your teams from repetitive scheduling tasks with an autonomous AI.
Guaranteed availability
The AI ensures vehicles are charged when needed while optimizing costs.
Visibility and reporting
Track realized savings and energy efficiency for each charger directly in Swiftask.
Effortless scalability
Whether you have 5 or 500 chargers, the agent handles the scheduling complexity instantly.
Security and control of your installations
Swiftask applies enterprise-grade security standards for your monta automations.
- Robust API authentication: Secure access to your Monta infrastructure via encrypted protocols.
- Granular control: Maintain access rights for every team member within Swiftask.
- Full audit logs: Every command sent to Monta is tracked for full compliance.
- Technological independence: Swiftask adapts to your needs without locking your data into a closed ecosystem.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your energy performance
| Metric | Before | After |
|---|---|---|
| Average kWh cost | Standard price (variable) | Optimized (off-peak) |
| Management time | Several hours/week | 0 hours (auto-pilot) |
| Schedule error rate | Frequent | Zero (real-time adjustment) |
| Implementation | Heavy manual setup | Rapid no-code deployment |
Take action with monta
Lower your electricity bills and maximize charger utilization without manual intervention.