ChargeMate

Overview

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Turn real-time ChargeMate session failure data, hardware fault patterns, and site issue intelligence into automated Work Orders, instant alerts, and asset status updates in Energos.ai. Automatically sync ChargeMate’s driver-facing operational insights into Energos.ai to enable proactive maintenance, notify the right people at the right time, eliminate manual escalation, and close the loop between what drivers experience at the charger and what your maintenance team does about it.

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Key Features

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• Automatically generate a Work Order in Energos.ai when ChargeMate identifies a hardware fault pattern behind repeated driver session failures — including charger ID, site location, failure type, and supporting session data.
• Instantly trigger alerts and push notifications to the right team members — operations managers, site leads, or on-call technicians — the moment ChargeMate flags a recurring hardware issue or site-level fault pattern, with no manual escalation required.
• Automatically update the asset status in Energos.ai when ChargeMate identifies a charger generating consistent session failures or hardware faults — so your asset register reflects real-world charger condition without anyone updating it manually.
• Initiate proactive Work Orders in Energos.ai when ChargeMate detects rising failure rates on a specific charger — enabling dispatch before the charger fully goes offline and before more drivers are impacted.
• Continuously sync ChargeMate session interaction data and fault pattern intelligence into Energos.ai to trigger condition-based maintenance — so PMs are driven by actual driver experience and hardware behavior, not fixed schedules.
• Push ChargeMate fault escalations and session failure patterns into the Energos.ai predictive intelligence layer to generate early warning alerts and flag at-risk chargers across your network before they become a reliability problem.
• Technicians receive auto-generated field briefings on their mobile device at dispatch — including the failure pattern summary, 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 asset record, and a close-out notification is sent to relevant stakeholders — keeping ChargeMate, Energos.ai, and your entire team in sync.

Note: Predictive escalation scoring, condition-based PM triggers, and multi-channel notification routing require Energos.ai’s Advanced Plan.

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‍How It Works

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‍1. Contact us

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Book a call with an Energos.ai integration specialist or contact your Account Manager to review available workflows.

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‍2. Select your workflows

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Choose the ChargeMate signals you’d like to trigger Energos.ai actions — session failure patterns, hardware fault flags, recurring driver issue escalations, proactive degradation alerts, asset status changes, or notification routing rules.

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‍3. Review quote & purchase

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A timeline and pricing will be provided so you can finalize your purchase.

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‍4. Configuration & testing

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We’ll build, test, and validate all integration flows in a staging environment before go-live.

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Configuration can include:

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• Asset and site mapping between ChargeMate and Energos.ai
• Session failure threshold rules that trigger Work Order creation
• API credentials, webhook setup, and data routing
• Alert rules and notification routing by role, site, fault type, or failure frequency
• Asset status transition rules tied to fault escalations and work order lifecycle
• Technician routing logic and parts inventory matching
• Work order templates and field briefing formats

5. Go live & support

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After deployment, we provide ongoing support to ensure the integration runs smoothly and improves over time as more session, fault, and resolution data is captured.

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Requirements:

• Must have a ChargeMate account with API or webhook access enabled
• Must have Energos.ai on a supported plan

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