AI-powered Asset Intelligence
All of your asset data easier to access through AI
Asset teams already capture valuable information across inspections, jobs, defects, images, assets and works history. The challenge is making that information easier to find, understand and use when decisions need to be made.
Built for Natural Language Asset Intelligence
Asset Vision connects asset, inspection and operational data with ChatGPT and Claude, helping authorised teams ask questions in plain language, surface relevant insights and make faster, more informed decisions.
From Question to Insight to Action
Ask
- Ask questions in plain language
- Search across asset, inspection & job data
- Reduce reliance on manual exports
- Make information easier for non-technical users to access
Understand
- Surface relevant records, trends & priorities
- Summarise asset inspection & works information
- Identify overdue tasks & repeat issues
- Connect context to decision-making
Act
- Support faster triage & reporting
- Help teams prepare management summaries
- Improve visibility across networks & teams
- Move from data capture to informed action faster
Quickly understand what needs attention across your network.
Start the day with a clearer view of urgent jobs, overdue inspections, open defects and priority actions. With Asset Vision connected to ChatGPT and Claude, authorised users can ask natural language questions and quickly surface the information that matters most.
Teams can ask questions such as “Which jobs need urgent attention today?” or “Which inspections are overdue by location?” to support daily briefings, contractor coordination and field planning.
AI identifies patterns in defects, condition and asset performance.
Connect defects, condition data, asset history, locations and job activity in one platform. With Asset Vision connected to ChatGPT and Claude, authorised users can ask deeper questions about recurring defects, high-risk locations and asset classes needing attention. Teams can use AI-assisted queries to explore severity, frequency and location trends across roads, paths, drainage and facilities, supporting better repair, renewal and intervention planning.
Summarise recent works activity, job status, maintenance history and outstanding actions without manually pulling data from multiple reports.
Connect field-captured information, images, inspections and jobs with office decisions so teams can understand what happened, where and why.
Prepare clearer summaries for internal reporting, briefings, meetings and decision-making using current operational context.
Connect Asset Vision to ChatGPT and Claude
Access authorised Asset Vision data through the AI tools your team already uses. Follow our step-by-step guides to connect your account and start asking questions about assets, jobs, inspections, defects and works history.
AI is quickly becoming part of the council conversation. Councils are exploring how it can support service delivery, reporting, planning, inspections, infrastructure maintenance and long-term asset planning.
Asset Vision explores how local government teams can use practical AI to support inspections, defect capture, maintenance planning, renewal decisions and better community outcomes.
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.
Our Clients
talk to us
We’re with you through the ups and downs of asset management. Contact us today to find out more and fill out your details to request a demonstration on our platform.