{"id":9580,"date":"2026-02-12T11:00:00","date_gmt":"2026-02-12T10:00:00","guid":{"rendered":"https:\/\/ingo.it\/?p=9580"},"modified":"2026-03-09T14:59:17","modified_gmt":"2026-03-09T13:59:17","slug":"from-photovoltaics-to-smart-energy-ingos-scalable-processes-presented-at-key-energy-2026","status":"publish","type":"post","link":"https:\/\/ingo.it\/en\/blog\/news\/from-photovoltaics-to-smart-energy-ingos-scalable-processes-presented-at-key-energy-2026\/","title":{"rendered":"From photovoltaics to smart energy: INGO\u2019s scalable processes presented at KEY Energy 2026"},"content":{"rendered":"\n

Technical support in the solar industry today means constantly monitoring systems<\/strong>, detecting anomalies, performing remote firmware upgrades, optimizing consumption, and guiding installers and users in troubleshooting.

INGO’s AI-assisted, human-in-the-loop<\/strong> model makes this process fast, standardized, and scalable<\/strong>: many troubleshooting tasks are handled automatically by AI, while the technical team intervenes only when needed, ensuring targeted interventions and reducing errors and response times. <\/p>\n\n\n\n

The challenges of companies and installers in the solar and energy sector <\/h2>\n\n\n\n

Solar and energy companies and installers face complex operational challenges on a daily basis. Response times with traditional service models<\/strong> are often too long, generating delays in problem resolution and impacts on energy production.

Manual processes<\/strong>, moreover, can lead to errors, inefficiencies and repetition of tasks, while handling large volumes of tickets or calls<\/strong> risks overloading technical teams.

Complexity increases further when multi-vendor or multi-technology<\/strong> systems must be coordinated, with different configurations and protocols to control.

INGO addresses these problems with an AI-assisted, human-in-the-loop<\/strong> model: first- and second-level<\/strong> tasks are handled by AI automatically and proactively, from initial diagnosis to guided troubleshooting, while human intervention is triggered only when really needed<\/strong>, ensuring targeted and rapid interventions.

This approach makes it possible to reduce response times, standardize processes, minimize errors and handle large volumes of requests<\/strong>, while maintaining quality and business continuity even in the most complex contexts. <\/p>\n\n\n\n

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What INGO’s assistance concretely entails<\/h2>\n\n\n\n
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  1. Multilingual support<\/strong>
    Customers, installers and maintainers can receive support in Italian, German, Spanish, French or English, without language barriers.
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  2. Monitoring of systems and energy data<\/strong>
    All connected systems are monitored 24\/7 to identify malfunctions or anomalies in production data.
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  3. Identifying anomalies and optimizing consumption<\/strong>
    Data analysis allows the detection of hidden faults, inefficiencies or configuration errors, suggesting interventions or software updates.
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  4. Fast and targeted interventions<\/strong>
    Thanks to automation and AI, many troubleshooting operations are handled automatically, reducing response time. Only complex cases are scaled to the technical team, which intervenes only when necessary<\/strong>. <\/li>\n<\/ol>\n\n\n\n

    Technical support in the solar industry today means constantly monitoring systems<\/strong>, detecting anomalies, performing remote firmware upgrades, optimizing consumption, and guiding installers and users in troubleshooting.

    INGO’s AI-assisted, human-in-the-loop<\/strong> model makes this process fast, standardized, and scalable<\/strong>: many troubleshooting tasks are handled automatically by AI, while the technical team intervenes only when needed, ensuring targeted interventions and reducing errors and response times. <\/p>\n\n\n\n

    <\/p>\n\n\n\n

    A practical example of assistance<\/h3>\n\n\n\n

    An installer calls because a battery is no longer communicating with the inverter<\/strong>. Thanks to the AI-assisted<\/strong> support model, the process works like this: <\/p>\n\n\n\n

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    1. The virtual assistant<\/strong> requests key information: inverter model, serial number, battery modules in the system.<\/li>\n\n\n\n
    2. The installer<\/strong> is guided in verifying the physical communication<\/strong> between battery and inverter.<\/li>\n\n\n\n
    3. If everything is found to be correctly connected, the AI suggests further checks: checking battery selection, any configuration or installation errors. <\/li>\n\n\n\n
    4. If no problems emerge, the call ends and the system records the resolution. <\/li>\n\n\n\n
    5. Only if necessary is the intervention escalated to a trained technician<\/strong>, who receives all the diagnostic information already collected by AI. <\/li>\n<\/ol>\n\n\n\n

      In this way, the installer receives immediate support and step-by-step guidance, common problems are solved without waiting for a technician, the technical team intervenes only when really needed, optimizing time and resources, and finally, every intervention is tracked, ensuring continuity and quality of service.<\/strong><\/p>\n\n\n\n

      \"\"<\/figure>\n<\/div>\n<\/div>\n\n\n\n

      The concrete benefits for companies and installers <\/h2>\n\n\n\n

      INGO’s services provide tangible and measurable benefits for solar and energy companies, installers, and operators by addressing some of the most critical operational management challenges. Through proactive plant monitoring and predictive diagnostics<\/strong>, anomalies, inefficiencies, or malfunctions can be identified before they become critical problems, dramatically reducing troubleshooting time and minimizing escalations to higher levels of support.

      Process standardization<\/strong> ensures that each intervention is performed according to clear and replicable protocols, maintaining high service quality even when ticket or call volumes increase rapidly. The AI-assisted and human-in-the-loop<\/strong> model ensures that repetitive and easily automated tasks are handled by artificial intelligence, while human intervention is activated only when necessary<\/strong>, allowing specialized expertise to be focused on the most complex problems and reducing operational costs.

      Customers also benefit from H24 multilingual technical support<\/strong>, available in Italian, German, Spanish, French, and English, which ensures operational continuity and rapid response both domestically and in international markets. This approach maintains a consistent and reliable operational flow across all contact channels<\/strong>, from ticket management to telephony to advanced remote support.

      In addition, INGO services support business scalability<\/strong>. Companies can manage multiple plants, multiple customers and multiple installers without compromising service quality, optimizing workflows and increasing the productivity of technical teams. With comprehensive energy data management<\/strong>, from analyzing consumption graphs to reviewing raw data, inefficiency patterns can be identified, targeted interventions can be proposed, and overall plant efficiency can be improved.

      Finally, the integration of technology, AI and human expertise creates a virtuous circuit of continuous learning<\/strong>, where each intervention generates useful data to further optimize future processes, increasing the reliability, speed and overall quality of technical support. <\/p>\n\n\n\n

      INGO at KEY – The Energy Transition Expo 2026 <\/h2>\n\n\n\n

      Key Energy is one of the leading events for the energy sector, where companies, innovators and operators meet to discuss the latest technologies and solutions in smart tech, renewable energy and efficient plant management.<\/strong>

      At INGO we focus ontechnical process automation<\/strong>, always integrated with real-world expertise. Our end-to-end<\/strong> model combines smart tools with a highly skilled human back-end<\/strong>, ensuring business continuity, service quality, and scalability.

      From March 4 to 6<\/strong>, we were present at KEY – The Energy Transition Expo 2026<\/strong>, Hall C7, booth 130<\/strong>, where we presented live demos of process automation.<\/strong> It was an opportunity to see concretely how INGO manages to:<\/p>\n\n\n\n