Every IT team has a spreadsheet, a tool, or a tab somewhere that's supposed to be the single source of truth for company hardware. And every IT team knows that "source of truth" is a polite fiction.

It was (probably) accurate the day someone filled it in. But since then, people have joined and left, laptops have been upgraded, licenses have been reassigned, and devices sent off for repair.

We knew we had to take a different approach to Asset Management. We are living in the AI-era, after all.

An AI-native Asset Management platform

Most asset management tools are just databases, manually updated on someone else's schedule instead of in real time. Instead of treating assets as rows in a table, we treat them as living nodes in a context graph, connected to the people, tickets, and systems around them. The result is a unified, always-accurate view of every device, application, and SaaS tool in your environment, plus the full story of how each one got there, where it's been, and what it's actually worth today.

One inventory, pulled from everywhere and anywhere

Console integrates with the tools you already run, including MDMs (Mobile Device Management) like Jamf, Fleet, Iru, and Intune, plus your procurement platforms, identity providers, and HRIS. It pulls device and purchase data from each source and merges it into a single record per asset. There is no stitching together five half-accurate exports and hoping they agree. And when your team needs to track something the standard fields don't cover, you can build your own schema and tag assets with the attributes that matter to you.

History that stays with every device

Every asset in Console carries its own lifecycle: where it came from, how much it was purchased for, who owned it, what changed, when it moved from in stock to in use to repair to retirement. Actions like assigning, unassigning, or retiring a device update the record instantly, and the underlying MDM, so the status of each asset is always accurate. Depreciation also isn't hardcoded. You set the rules, by duration and terminal value, and Console applies them automatically across your fleet, giving you real fleet value instead of a rough estimate.

Context that actually connects the dots

This is where the context graph does the real work. A device isn't just a serial number. It's connected to the person who's using it, the tickets or issues tied to it, the software licensed to it, and the access it enables. So when a request or device issue comes in, Console already knows the asset behind it, who owns it, and the other data points associated with it in the graph. Your team doesn't have to construct that picture from dated notes. It's already there, visualized as a constellation of hardware, software, people, and issues, all pointing back to a single source of truth.

Audit trails and reporting are built in

Compliance shouldn't mean exporting spreadsheets the night before an audit. Console generates reports on ownership, current value and depreciation, warranty windows, and upcoming refresh cycles, all with a complete audit trail behind them. If your team wants to know which devices hit warranty expiration in the next 30, 60, or 90 days, it's a report generated with a few clicks.

Why our approach to Asset Management matters

Today, there are still too many tools with siloed datasets that are too often inaccurate. Teams need a system of intelligence that keeps up with what's actually happening. They should be delegating the manual work in tracking, updating, and reporting so people can focus on making good decisions instead of flawed data entry. An asset database shows you what was true at some point. Asset Management that lives on a context graph shows you the truth at that moment.

Console's asset management is built on that idea from the ground up. Every asset, every history, every connection, 100% live and accurate.

Ready to see Asset Management in action? Book a demo.