Overview
Turn real-time ChargeLab fault alerts, OCPP session logs, network errors, and device health data into automated Work Orders, instant alerts, and asset status updates in Energos.ai. Automatically sync ChargeLab’s charger intelligence into Energos.ai to enable condition-based maintenance, notify the right people at the right time, eliminate manual triage, and keep your EV charging network running at maximum uptime.Pre-built integration, configured and managed by Energos.ai.
Key Features
- Automatically generate a Work Order in Energos.ai when ChargeLab detects a charger fault, network error, or session failure — including charger ID, site location, OCPP error code, and full session context.
- Instantly trigger alerts and push notifications to the right team members — operations managers, site leads, or on-call technicians — the moment a ChargeLab fault or anomaly is detected, with no manual escalation required.
- Automatically update the asset status in Energos.ai when a ChargeLab charger goes offline, enters a fault state, or is flagged for inspection — so your asset register always reflects live charger health without anyone updating it manually.
- Initiate Work Orders in Energos.ai when ChargeLab logs repeated session failures or abnormal patterns on a specific charger, enabling proactive dispatch before the charger fully goes offline.
- Continuously sync ChargeLab device health data and session telemetry into Energos.ai to trigger condition-based maintenance — so PMs are driven by actual charger behavior across all 200+ supported hardware models, not fixed schedules.
- Push ChargeLab fault signals and OCPP message logs into the Energos.ai predictive intelligence layer to identify degradation patterns, generate early warning alerts, and flag at-risk chargers days before a full outage occurs.
- Technicians receive auto-generated field briefings on their mobile device at dispatch — including likely root cause, recommended parts, and full service history for that specific charger.
- When a Work Order in Energos.ai is marked as complete, the asset status is automatically updated to operational, resolution details are logged against the ChargeLab asset record, and a close-out notification is sent to relevant stakeholders — keeping both platforms and your entire team in sync.
Note: Predictive degradation scoring, condition-based PM triggers, and multi-channel notification routing require Energos.ai’s Advanced Plan.
How It Works
1. Contact us
Book a call with an Energos.ai integration specialist or contact your Account Manager to review available workflows.
2. Select your workflows
Choose the ChargeLab events you’d like to trigger Energos.ai actions — fault codes, session failures, network errors, OCPP anomalies, asset status changes, notification routing, or telemetry-based PM thresholds.
3. Review quote & purchase
A timeline and pricing will be provided so you can finalize your purchase.
4. Configuration & testing
We’ll build, test, and validate all integration flows in a staging environment before go-live.
Configuration can include:
- Asset and site mapping between ChargeLab and Energos.ai
- OCPP fault code classification rules and severity thresholds
- API credentials and data routing setup
- Alert rules and notification routing by role, site, or fault type
- Asset status transition rules tied to fault events and work order lifecycle
- Technician routing logic and parts inventory matching
- Work order templates and field briefing formats
5. Go live & support
After deployment, we provide ongoing support to ensure the integration runs smoothly as your ChargeLab network scales.Requirements
- Must have a ChargeLab account with API access enabled
- Must have Energos.ai on a supported plan