Optigo Networks has launched an artificial intelligence assistant for its Optigo Visual Networks (OptigoVN) platform, designed to help building automation teams diagnose operational technology network issues without requiring specialist-level knowledge of BACnet systems.
The Optigo AI Assistant is embedded within OptigoVN, the company's cloud-based OT monitoring and troubleshooting platform for BACnet building automation systems. It allows users to ask questions about network performance and diagnostic results in plain language and receive explanations, potential root causes and recommended actions.
The launch is aimed at addressing an expertise gap within building automation, where network diagnostic data may be available but interpreting it can require specialised technical knowledge. Issues involving unreachable devices, misconfigured equipment or overloaded routers can consequently require escalation to experienced technicians or external vendors.
Optigo said the Assistant has been trained in a closed environment using its own OT network data, technical documentation and troubleshooting sessions rather than relying primarily on information gathered from the open web. The system is designed to interpret diagnostic results produced by OptigoVN and translate them into information that can be acted upon by users with different levels of technical expertise.
Users can ask the Assistant questions about network behaviour, device inventories and network health. It can also help distinguish broader network failures from problems associated with individual devices or routers and recommend potential next steps based on Optigo's library of documented resolutions.
The AI tool also extends beyond troubleshooting. Users can generate prioritised punch lists, summary reports and emails for system integrators or building owners. The Assistant can support account-related tasks such as adding monitoring nodes, inviting collaborators and guiding users through integrations with building technology platforms.
According to Optigo, users can also analyse a follow-up network capture after making changes to determine whether an identified problem has been resolved.
Lisa Ohman, CEO of Optigo Networks, said the company is focusing on making network information accessible to a wider group of users rather than limiting diagnostics to people who can interpret BACnet data directly.
The launch reflects the growing integration of AI into operational technology and smart-building management, where vendors are increasingly using conversational interfaces to make complex technical data more accessible.
The OptigoVN AI Assistant is now available within the platform for eligible subscriptions.
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