Operations | Monitoring | ITSM | DevOps | Cloud

This third article in our Agentic AI Essentials series lays out a process for capturing feedback and setting out a clear framework for effective use of an agentic system. It’s more than just collecting data; it's building a system you can trust. Let’s explore what success looks like in your environment.

Inventory management refers to all the processes that enable an organization to track, control, organize, and optimize its physical assets throughout their lifecycle. It plays a key role in the operational, financial, and logistical performance of businesses, regardless of their size or industry.

A single disengaged employee can cost an organization approximately $2,246 annually. In today’s technology-driven workplaces, that cost increasingly comes from technology friction – the everyday delays, disruptions, and inefficiencies caused by poorly performing tools. “There’s not really any businesses today that are not fundamentally technology businesses now.”⁠⁠Dan Anthony, CIO at FedNow.

In many organizations, ITSM tools and data center infrastructure tools operate in separate silos, leading to incomplete records and limited visibility. CMDB records are often incomplete or out of date because updates rely on manual entry, while incidents, changes, and service requests in ITSM lack full visibility into the physical infrastructure. Integrating DCIM with ITSM closes this gap, ensuring CMDB data matches reality and linking service workflows to accurate, actionable information.

If you work in IT, you’ve probably heard (and dreaded) the term “tech debt.” While it’s usually tied to software development, it means something slightly different in IT Asset Management (ITAM). In ITAM, tech debt is the accumulated cost of rushed asset decisions, or missing decisions, that solve short-term needs but create long-term waste, friction, and risk.