Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Helpdesk, Service Desk, IT Helpdesk.

AI Control Tower Live: Governance that moves at machine speed

One question, ninety minutes: Do you know what AI agents you have running, what they're accessing, and what's their ROI? ServiceNow product leaders open with an overview of why legacy controls can't keep pace with AI agents. Then we'll showcase customer stories from Zespri and Booking.com, end-to-end demos of AI Control Tower, and a look inside ServiceNow's own AI estate.

Ticket Deflection Starts With Your Knowledge Base, Not Your Chatbot

Your service desk closed 400 tickets last month. Somewhere between a third and half of them were password resets, VPN questions, licence requests, and "how do I get access to the shared drive." Every one of those had a documented answer. Most of those answers were sitting in a knowledge base that the person raising the ticket either could not find or did not trust.

From Meeting Rooms to the Contact Center Floor: How Krisp Assists Agents on Every Live Call

Contact centers are where companies do their talking at scale. Thousands of agents, dozens of live calls each per shift, and on the other end a stranger with a problem and a finite amount of patience. A ten-second lookup, repeated across a few million calls a year, is a budget line.

Service Desk vs. Help Desk: What's the Difference (and Where Does ITSM Fit In)?

A help desk is the front-line function that receives user issues and requests, records them, provides basic troubleshooting, and routes unresolved work to the appropriate specialist. Its goal is to restore user productivity quickly. Typical help desk activities include: The work is usually tactical and reactive. A user cannot connect, open an application, or complete a task, so the help desk responds.

The 12 Point Checklist Before Your AI Voice Agent Takes Live Calls

You have tested your AI voicebot solutions for weeks. The calls sound natural, the answers are accurate, and the demo works exactly as planned. Then you put it on a live call. A caller interrupts while the agent is speaking. Speech recognition misses an account number. An API takes three seconds to respond. The LLM slows down under load. One service fails, and suddenly your polished voice agent has no idea what to do next.

MSP Ticketing System: How to Evaluate and Choose the Right Platform

Most managed service providers do not replace their ticketing tool because ticket volume got too high. They replace it because a client asked for a report the tool could not produce. That moment usually arrives between the third and tenth client. The shared inbox and the general help desk that carried you this far stop holding the accounts apart. Per-client reporting is usually the first thing to give way. An MSP ticketing system takes support requests from every client you serve.

Why Your Help Desk Knowledge Base Isn't Reducing Tickets

The help desk knowledge base has hundreds of articles. Search traffic looks healthy, and employees are reminded to try self-service first. Yet ticket volume barely moves. That gap appears when a knowledge base is measured as content instead of ticket prevention. Article counts, page views, and searches can rise while the queue remains busy. None proves that an employee received a trustworthy answer before filing a ticket.

Help Desk Software for Schools: Managing IT Support Across Campuses

How many support requests reach school IT staff each week without ever becoming a ticket? A teacher stops a technician in the corridor about a projector that will not connect. An office administrator sends a direct email about a locked account, and a student tells the librarian their laptop stopped charging during second period. Help desk software for schools collects those requests into one queue, routes them by site and category, and keeps a record of what was done.

The invisible challenge that kills IT projects

The verdict on enterprise AI is starting to sound familiar: It didn't deliver. But the real question is: Did we ever define what deliver meant in the first place? If success was never tied to measurable business outcomes, AI was always going to fall short, no matter how capable the technology was. Before the next budget cycle dismisses AI, ask whether the problem is the technology or the lack of clear success metrics.