Pre-built AI agents configured in natural language let operators deploy visual validation in days, with no model training or AI expertise required
Cambridge, 3 September 2026 — IQGeo, a network intelligence platform that is paving the way for autonomous networks, today announced the launch of Visual Agent Studio, an expanding library of pre-built AI agents that operators configure using natural language to validate field photos automatically across telecom and utility network operations.
Most operators today check only a small fraction of the work their field crews complete. Back-office teams manually review a sample of job photos, but the volume of field activity makes comprehensive review impractical. Defects that go undetected at the point of installation typically cost considerably more to resolve later, whether through a return visit, a service fault or a contractor dispute.
Visual Agent Studio brings validation to every job. Operators configure each agent to their own quality standards through a natural language interface, defining checks and criteria in plain language. The agent then analyses a field photo, runs the checks and returns a structured pass/fail result while the technician is still on site. Issues can be corrected before the crew leaves, and validated results are recorded automatically against the work order to avoid back-office review queues.
Four agents are available at launch: Asset Inventory for telecom and utility networks, Drop Installation and Service Activation for telecom operators, and Smart Meter Installation for utilities. Each is pre-built and ready to deploy, removing the need to supply training data or domain expertise. Operators can begin processing live field photos or run agents against existing photo archives from day one, with no data science resource required.
Visual Agent Studio builds on IQGeo's NetLux AI, which is already in deployment at leading operators including Virgin Media O2. Having analysed more than one billion telecom and utility field photos across over 20 million field jobs, IQGeo's AI brings proven, real-world validation capability to a self-service platform that operators can easily configure themselves and deploy across multiple use cases. The product integrates with leading field service management systems via REST API, as well as IQGeo Workflow Manager and Network Manager, fitting into existing field workflows without disruption.
“Most operators have accepted that field work can only be checked selectively, because the volume makes anything else impractical,” said David Cottingham, Chief Technology Officer at IQGeo. “Visual Agent Studio is built around the idea that operators should be able to select an agent, configure it to their standards and deploy it themselves, without waiting for a bespoke AI project. The validation happens at the point of work, which is the only place where correcting a mistake is still cost-free.”
As operators work toward autonomous network operations, consistently validated field data forms the foundation for the self-managing networks that require accurate, continuously updated records to function reliably.
Contact
Annabel Niemann, Communications Director
press@iqgeo.com
About IQGeo
IQGeo is redefining how ambitious network operators plan, design, construct, operate and monetize their physical infrastructure. Guided by our mission of “Building Better Networks,” we deliver AI-powered geospatial software purpose-built for telecom and utility businesses that enables them to create accurate, live digital twins that form the foundation for agent-driven, self-managing networks. With native mobility at its core, our software transforms network data from across field and office into operational insight, cutting design and construction costs, improving process efficiency and enhancing safety and compliance. IQGeo’s solutions go beyond static maps to intelligent network models that power real-time decision-making.