AI for Asset Management

Could you catch the failure before it happens?

Reads work orders, inspections, meter readings and reliability strategies together instead of leaving them in separate systems, identifies the pattern automatically, and recommends the next maintenance action rather than simply flagging an anomaly. Issues get diagnosed earlier, and the diagnosis stops depending on whoever happens to be on shift. Less time assembling data, more time preserving uptime.

What if every camera on site were an inspector?

New in 9.2, with on-device inference on mobile. Models are trained on your assets and your failure modes — corrosion, cracks, leaks, missing guards — not generic stock imagery. Inference runs locally on the device, so remote sites and network black spots stop being blind spots. The eye that never gets tired, on every phone your crews already carry.

Could a planner just describe the schedule they want?

Planners explore and optimise schedules in plain language, instead of working through successive rounds of filtering, sorting and manual triage to test a single idea.

Can a technician ask Maximo a question with their hands full?

Natural-language questions answered from the field, on the device the crew already carries — no desktop session and no callback to the office to find out what the asset history says.

Is this incident the first one, or the fifth?

Safety categories suggested at the point of reporting, with similar past events surfaced alongside the new one — so a repeat pattern is visible while it still matters, not at the next quarterly review.

Can your own AI agents talk to Maximo?

Maximo 9.2 opens the Manage APIs to your own AI agents. The Valueztech Maximo MCP Server provides secure, role-aware AI access to Maximo data and actions for use with Claude, Copilot and other LLM clients, so an assistant reads and acts through the same permissions model as a person.

What would you ask Maximo — if you could just ask?

Ask in plain English, and see the answer, the source records it touched, and the SQL it ran — verifiable rather than vague, auditable line by line, with no black box. It is built for Maximo's bones: native to the schema, the OSLC API and the vocabulary, speaking 7.6 through MAS 9.x. Read-only database access runs on your terms and on your infrastructure — hosted with MaxTAF, bringing your own LLM, or fully air-gapped; MaxTAF is ISO 27001 certified. One assistant covers four jobs: cost and downtime for maintenance heads, MTBF and PM compliance for reliability engineers, KPIs for operations, and the backlog for planners.

Who is clicking the regression pack at midnight?

Regression, performance and automation tuned to your Maximo version, rather than a generic tool pointed at it — engineered by the MaxTAF team, Maximo specialists since 1997, and ISO 27001 certified. Valueztech builds the suites once and runs them before every patch, upgrade milestone and release.

Why is your storeroom still guessing?

Maximo supply chain automation. Punchout and e-commerce let buyers order from supplier catalogues inside Maximo — priced, current and approved. Purchase orders, receipts and invoices reconcile themselves instead of queuing on someone's desk. Spend visibility shows what the operation actually buys, so you stop paying three prices for one part. Built for IBM Maximo users, delivered with Valueztech.

Which machine is going to fail next?

Breakdowns are detected too late, condition monitoring stays manual and inconsistent across distributed assets, and reliability expertise is scarce — so maintenance stays reactive with no clear view of which issue to tackle first. PlantOS monitors machine behaviour continuously and translates it into ranked prescriptive recommendations, prioritised by production impact, risk and urgency, so faults surface weeks before failure with a clear next action the team can raise as Maximo work. Movus reports 90% fewer unplanned breakdowns, 20–30% better planning accuracy and more than 6,500 machines monitored; those are Movus's own vendor figures, not Valueztech-delivered outcomes.

Where is the drawing that goes with this asset?

Three steps. AI reads manuals, drawings, datasheets and OEM documents, thousands at a time. Every document is linked to the assets, locations and job plans it describes. Then a technician asking for the isolation procedure for this pump gets the page, not a folder — with citations, the source section highlighted, and anything the system could not parse confidently flagged for a person to review. The knowledge your veterans carry in their heads, captured, linked and searchable.

What is your Maximo actually doing under the hood?

Part of the Valueztech Maximo Development Platform. Integrations, automation scripts, cron tasks and errors appear in one live view, instead of log files scattered across servers and environments. Failures and slowdowns surface as they start, so the team acts before the help desk queue fills. And an error can be traced back to the script, integration message or configuration change behind it — evidence for the fix, not guesswork. Your Maximo stops being a black box.

How fast can the software around Maximo actually be built?

An order management system for a major recreational automobile manufacturer, built with AI-enabled coding — specification to working software in a fraction of a traditional build time, with the discipline of the Innova delivery method behind it.

Is this proven, or still a pilot?

A high-volume ticket booking system, plus enterprise application builds and ongoing support — delivered, running and used every day.

What changes about accountability?

AI-enabled engineering changes the speed of the build, not the governance around it: the same Innova templates, the same test-driven delivery, the same defined warranty period and the same onshore Australian lead consultant.