Asset Vision is supporting Ventia’s Grampians and Eastern Metropolitan Victorian Road Maintenance Contracts through connected tools for inspections, defect capture, works management, asset information and reporting. The go-live builds on a five-year partnership across major transport, ITS and road maintenance operations.

AI in council asset management is most valuable when it is connected to trusted data, field evidence and real workflows. Asset Vision explores how local government teams can use practical AI to support inspections, defect capture, maintenance planning, renewal decisions and better community outcomes.

Asset Vision is building momentum across transport, housing, local government and marine assets. Recent customer wins show growing confidence in the platform, people and sector-focused approach, as more infrastructure teams look for clearer information, simpler workflows and connected asset management they can use every day across the work that supports communities.

Australia’s infrastructure challenge is not only about funding. It is also about visibility. By connecting asset data, field evidence, inspections, condition, risk and long-term planning, infrastructure organisations can make more confident decisions, prioritise investment more effectively and create greater value from the assets and information they already manage.

Asset Vision has introduced a new sector-focused structure to support its next stage of growth, aligning teams across Transport, Civic & Community, Utilities and Social Infrastructure. The change strengthens client focus, improves alignment between sales and delivery, and supports a more connected experience from first conversation through to implementation and ongoing use.

Asset Vision’s latest AutoPilot update introduces ride quality insights, expanded AI-assisted roadside detections and improved defect models. The release gives councils and infrastructure teams more evidence during road inspections, helping them review condition, identify potential issues across large networks, prioritise closer assessment and make faster, more confident maintenance decisions.

Asset Vision’s ChatGPT and Claude integration gives authorised users a simpler way to ask questions, explore operational data and understand what needs attention across assets, inspections, defects and jobs. This article explores how AI-assisted access can help councils and infrastructure teams move beyond static reports, surface the right information faster, connect field and office context, and make more confident decisions using the data already captured in Asset Vision.

Asset Vision is now connected to ChatGPT, giving councils and infrastructure teams a faster, more intuitive way to interact with asset, inspection and operational data using natural language. This article explores how AI-assisted access can reduce the time spent searching through reports, dashboards and exports, helping authorised users ask better questions, surface operational context and make more confident decisions across assets, defects, inspections and jobs.

Rising fuel costs are placing pressure on how infrastructure is inspected and maintained, reducing coverage and increasing risk across asset networks. This article explores why fuel price volatility is not just a finance issue, but an operational challenge, how reduced visibility impacts decision-making, and what a more resilient, data-led approach looks like. It also outlines practical steps to improve efficiency and support more confident decisions.

Reactive maintenance keeps many councils in crisis mode, driving higher costs, service disruption and weaker long-term planning. This article outlines what proactive, data-led maintenance looks like in practice, why councils struggle to shift, and how consistent condition data and connected workflows reduce unplanned work. It also shares a practical path forward to improve confidence, governance and funding readiness.

Australian councils are generating more asset data than ever, yet fragmented systems and inconsistent information make it hard to turn insights into action. This article explores how improving data visibility, alignment and usability can help teams prioritise work, strengthen confidence in decisions, and move from reactive responses to proactive, evidence-based asset management that supports better service delivery, governance, risk management and long-term financial planning.

Roads & Infrastructure Magazine has highlighted Asset Vision’s growing role in transforming how local governments manage and maintain vital infrastructure. The article explores how councils across Australia are adopting Asset Vision to streamline operations, enhance visibility, and make smarter, data-driven decisions every day. The feature includes insights from the City of Greater Dandenong, showcasing how the council successfully deployed Asset Vision to improve coordination and efficiency across its operations.

Council Magazine has featured Asset Vision’s rapid growth in the local government sector, reporting that six councils have adopted the platform in just four months. The story highlights how Asset Vision is reshaping the way councils plan, maintain, and manage critical infrastructure — delivering one connected, easy-to-use system that replaces multiple software tools, reduces administrative burden, and empowers teams with real-time visibility across their entire asset network.

Infrastructure Magazine has featured Asset Vision in its article “Finding new market avenues at Converge”, spotlighting how the company is broadening into municipal and civil-construction markets. The story explores how Asset Vision began in 2011 focusing on road inspection and asset owners, and over 14 years has evolved to deliver a unified platform for work-management, AI-based defect detection, inspections tracking, capital-works planning and asset valuations.

Greater Dandenong City Council Works Teams deploys Asset Vision in 10 weeks  When the City of Greater Dandenong, one of Melbourne’s largest and most diverse Metro councils, set out to improve how their Works Team manages its extensive public assets, they needed a partner who could move fast, think flexibly, and collaborate closely. They chose…