EV charging networks are getting larger. Operations are getting more sophisticated. Regulatory demands, evolving business models, and growing customer expectations all push in the same direction: more complexity, more configuration, more cross-referencing across screens and systems. The pressure to stay lean and profitable while managing all of it has never been stronger.
CoOperator is AMPECO’s AI-powered operations agent, built directly into the platform. It brings three capability layers that change how operators interact with their charging network: Information, Analysis, and Actions.
Information: Ask Anything About Your Network
CoOperator gives operators a natural-language interface to the entire AMPECO platform. Any question about configurations, network status, what changed in the latest release, or how a specific feature works can be asked in plain language, the same way you’d ask a colleague.
Behind every answer, CoOperator draws from multiple sources: live charging data, the full platform codebase (so it actually understands how features work, not just what they’re called), all technical documentation, and the operator’s own system configuration.
It lives as a persistent sidebar across every screen in the AMPECO backend. It’s always available, always aware of the context the operator is working in, and it maintains full chat history so previous conversations can be picked up at any time. The more it’s used, the better it understands the network and the operator’s patterns.
Getting answers is the starting point. The next layer goes deeper: automated diagnosis of the operational problems that consume the most time.
Analysis: One-Click Diagnosis Through Insights
CoOperator’s analytical capability is built around what we call Insights: structured, automated root cause analyses for the three most time-consuming operational problem types.
Session Insights
One click on any charging session triggers a full analysis. CoOperator examines metadata, charging periods, tariff snapshots, transaction records, OCPP logs, OCPI logs for roaming sessions, and billing validation. It delivers a complete picture: session quality assessment, what went wrong, how the driver behaved, and actionable recommendations for both immediate resolution and future prevention.
This used to require opening multiple screens, cross-referencing data sources, and making judgment calls. Whether it’s support handling a driver complaint, an ops manager reviewing session quality across locations, or an engineer troubleshooting an edge case, the diagnosis is now there immediately.
Authorization Insights
When a driver can’t charge, the question is always the same: why? Authorization Insights traces the root cause automatically. Expired RFID token, payment issue, network problem, fraud trigger, business rule conflict. It explains exactly why the authorization was rejected or accepted, with confidence levels and recommended actions.
The operator can immediately explain what happened and what to do next. No escalation needed. No “let me look into this and get back to you.”
Issue Insights
Issue Insights work differently. Session and Authorization Insights are triggered on demand. Issue Insights are generated automatically the moment a problem is detected, whether that’s a hardware fault or a connectivity loss. No one needs to ask.
CoOperator runs a full analysis: root cause with confidence level, scope assessment (is this a single charger, a location-wide problem, or a pattern across a hardware model fleet-wide?), supporting evidence from historical data and similar past issues, and a recommended resolution path.
The result: diagnosis and repair path ready before anyone even logs in.
What Every Insight Delivers
Every insight, regardless of type, follows the same output structure: immediate actions (what to do now), prevention strategies (how to avoid this in the future), follow-up actions (longer-term improvements), and supporting evidence with confidence levels and historical context. Not a guess. A diagnosis.
Actions: Ask, Preview, Confirm, Done
CoOperator doesn’t just inform. It acts.
Create charge points, update pricing across locations, configure session validation thresholds, manage user groups. The interaction model is always the same: tell CoOperator what you need, review the preview of exactly what will change, confirm, and the action is executed.
For example: tell it to set all charging sessions in the past 24 hours with billing status “Suspended” as free. CoOperator shows exactly what will be impacted and how. You review. You confirm. Done.
This is the Conversational Agent at work: a persistent AI operations expert that sits inside the AMPECO backend, understands the network, and can both answer questions and execute tasks on the operator’s behalf. The shift is from navigating menus and clicking through configuration screens to expressing intent in plain language. The human stays in the loop on every consequential action.
Giving an AI agent the ability to act inside your operations raises a fair question: what happens to your data?
Built for Trust
Four architectural principles govern how CoOperator handles operator data:
- Tenant isolation. Every customer’s CoOperator instance is physically isolated. This is an architectural guarantee, not a permission setting. One tenant cannot access another’s data. No accidental information slippage. No false signals from another customer’s setup.
- Data privacy. Operator data is never used for model training. AMPECO uses operational learnings, but they are human-curated, stripped of all identifiable or proprietary data, and shared only as generic domain knowledge. The raw data stays with the customer.
- Explicit confirmation. Every action CoOperator takes requires the operator to review and confirm first. It shows exactly what will happen before it happens. No surprises.
- Full audit trail. Every interaction is logged and traceable: what happened, when, and why. Everything executed via CoOperator respects the permission level of the operator’s user account.
What’s Next
CoOperator today is conversational: operators ask, it acts. What’s coming next goes further.
CoOperator Workforce will introduce autonomous AI workers that run 24/7 in the background, handling routine operations without human intervention. The evolution from conversational to autonomous. Coming Q2 2026.
Shortly after launch, CoOperator will also be accessible via MCP (Model Context Protocol) and via API, integrating into the workflows and toolchains that technical teams already use.
Get Started
Three capability layers. Information, Analysis, Actions. CoOperator changes how operators interact with their charging network: from navigating menus to expressing intent. It’s available now.
Watch the full CoOperator launch webinar to see it in action, or contact your Account Manager to activate CoOperator for your network. You can also request it directly via the AMPECO Marketplace.
