Asset management in the AI world
We help reliability teams and asset managers use AI safely on the documents, data, and reliability work they already do.
AI for asset-intensive industry
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We help reliability teams and asset managers use AI safely on the documents, data, and reliability work they already do.
People on your team are already using AI, usually a consumer chatbot, on small tasks, with no plan behind it. The studies are clear that the real value sits in the big work: writing reports, technical documentation, research, and data analysis. Here is what the Australian numbers say, and what it costs to move slowly.
of Australian workers already use AI at work.
use their own consumer tools, outside any company system.
of leaders say their organisation has no plan for AI.
Source: Microsoft and LinkedIn, Work Trend Index 2024 (Australia).
The belief is there. The training is not. That gap is what we close.
on real writing tasks, with an 18% lift in quality.
MIT, published in Science, 2023.
of employee work time can be automated or augmented by AI today.
McKinsey, 2023.
added to GDP this decade, a 4.3% lift in labour productivity.
Productivity Commission, 2025.
Most reliability teams sit on deep expertise and a heavy load of document and data work. The AI that could help is held back by one thing: knowing how to set it up safely for the business. That gap is what we close.
Every tool, model, and workflow is chosen to fit your risk profile and data rules. We make AI adoption something IT and leadership can sign off on, not a shadow risk sitting in the team.
We set up AI for your actual documents, data, and reliability tasks, not demos. You see the difference in the day to day, from drafting reports to running analysis.
We teach your people to build and run the workflows themselves. When the engagement ends, the skills and the systems stay with the team.
Five stages that take a team from ad hoc AI use to running governed workflows on their own work, with the capability staying in-house.
We start by getting the team confident on what AI can and cannot do, and on the governance and safety that has to come first.
We advise which models and software to use and why, fitted to your business, your risk profile, and your data governance.
We build projects specifically for asset management work, in tools like VSCode, on your reports, strategies, and data.
We develop the skills and workflows for your work, and show the team how to build them so the knowledge stays.
We set up the right way of working alongside AI tools, so the capability stays inside the team after we leave.
Built by the people who do the work. We speak the discipline, and we set AI up safely for the way reliability teams actually work.
The market splits in two. AI specialists who do not know asset management, and asset management consultancies with little AI capability yet. Opsage stands in the gap, with founders who carry both.
Opsage was started by two people who have spent their careers in asset management, and saw the same gap from different sides.
Managing Director of Predict Australia, a predictive maintenance business for the mining industry. Cory has learned how far current AI can go on real technical work, and brings the AI expertise to Opsage.
Runs Methuen Consulting, an Adelaide based asset management consultancy covering maturity, governance, and capability, aligned to GFMAM and ISO 55001. Jason brings the deep asset management expertise.
We work with asset-intensive industry across Australia, starting in South Australia and the resource states. Tell us about your team and the work you want to move faster.
