Ask, predict, automate: the AI in the new IntelliTrac platform

By The IntelliTrac team · 16 June 2026 · AI & automation

The new IntelliTrac platform brings AI that answers complex questions on your own fleet data, predicts maintenance and utilisation trends, and builds the dashboards, reports and automations to act on them. Launching Q3 2026.

Fleet software has spent a decade getting good at one thing: showing you what already happened. The harder questions — what's about to happen, what it's quietly costing you, and what to do about it — stay manual, scattered across spreadsheets and someone's memory.

The new IntelliTrac platform closes that gap. Telematics, maintenance, bookings, compliance and costs all share one connected history, so the AI can work across them. You ask, it predicts and it builds what you need to act. Here is what that means for a fleet manager's week.

The platform launches in Q3 2026 — you can book a demo to see it live today.

Ask: real answers, including the hard ones

Ask IntelliTrac a question the way you'd ask a colleague — "which vehicles are over budget on maintenance this quarter?" — and get the answer, or the chart, without writing a query or exporting anything.

The hard questions are where it earns its keep. Ask something that would normally cost you a half-day in a spreadsheet—"which depots' cost-per-kilometre rose fastest over the last four quarters, and which vehicle classes drove it?"—and IntelliTrac does the analysis for you. It brings together maintenance, fuel, telematics and booking data, runs the numbers, builds the visualisation and explains what it found in plain words. It is a data analyst that already knows your fleet, ready whenever you are—no SQL, no BI licence, no two-week wait for a report.

Tag your assets and data, get focused answers

Tag what matters — depots, cost centres, vehicle classes, duty cycles, the EVs — and the AI learns the shape of your fleet. Ask about "the western depot's pool cars" and the answer covers those vehicles, not the whole fleet. The more you tell it, the sharper it gets.

Predict: see maintenance and utilisation before they bite

This is where you move from reacting to planning. The platform turns the data you already collect into grounded, explainable predictions:

• Maintenance due before it's overdue. It projects when a meter-based service — kilometres, engine hours — will fall due from how each vehicle is actually used, so you schedule on a date instead of a warning light.
• Components at risk. It flags the parts more likely to fail soon and explains why, including how many similar services it learned from across your fleet, instead of showing an unexplained score.
• Cost and workload ahead. It forecasts maintenance spend and workshop hours weeks out, with a confidence range and its own measured accuracy on display.
• Utilisation that doesn't add up. It surfaces vehicles sitting idle while still costing money, uneven use across a pool, and pools larger than the demand needs — the signals behind right-sizing a fleet.

It all lands in one insights feed, ranked by impact, every number traceable to your data, with a thumbs up or down so it learns what you care about.

The point isn't a clever score. When the data can't support a call, the platform says nothing rather than guessing — so the predictions you do see are ones you can act on.

Automate: dashboards, reports and automations, from a sentence

Answers are useful. Standing infrastructure is better. Describe what you want and IntelliTrac builds it for you to review:

• A dashboard. "Build me an eastern-region dashboard — utilisation, maintenance spend, and overdue services by depot." It assembles the charts and metrics; you pin it, and it stays live.
• A report. "Send finance a monthly fuel-and-tolls report by cost centre." It generates the report and schedules it. Set it once; it runs itself.
• An automation. "Draft a work order when a component crosses high risk." It becomes a standing rule across telematics, maintenance, booking and dispatch — with a dry-run first and a human approval step before anything happens.

You can build any of these by hand in a visual, no-code editor. Asking the AI just gets you to the same place faster, and it works the same data analyst behind your questions — so the dashboard you pin and the report you schedule are built on the same grounded numbers as the answers you ask for. Either way, the distance between noticing something and doing something about it shrinks from a meeting to a moment.

Working with your own AI assistants

Already using AI assistants? IntelliTrac meets them. An MCP server lets you point Claude or your own agents at the fleet, governed by the same role-based permissions and audit trail as any person who logs in — so an assistant only ever sees and does what its role allows.

Why this works here

Across software, the shift is from tools that answer to tools that do—and that only works on data you can trust. IntelliTrac builds its own telematics and owns the data end to end, so the AI works across live, first-party fleet data instead of a delayed third-party feed. It is the same reason owning your data beats borrowing it.

Want a closer look? The new platform launches in Q3 2026 — explore IntelliTrac AI, or book a demo to see it live now.