Your mean time to resolution might look great on a dashboard, but that number is gaslighting you. It only captures the mess after it explodes. Mark Banfield, chief revenue officer at TeamViewer, calls tickets ‘lagging indicators of performance.’ The real damage is the silent productivity killer happening before anyone files a report: digital friction.
A new survey of 4,200 workers and managers puts a hard number on that quiet chaos. TeamViewer found that four out of five respondents lose an average of 1.3 workdays every single month to dysfunctional tech. That isn’t just a minor annoyance. Nearly half reported delays in critical projects, 42 percent saw a direct hit to revenue, and 37 percent actually lost customers. The human toll is just as brutal, with 47 percent feeling frustrated and 28 percent considering quitting outright because their tools don’t work.
This is the failure of the reactive model. No human team can stare at thousands of endpoints waiting for a hiccup. Banfield argues the shift has to move from reactive to proactive, and eventually to autonomous remediation. The first step isn’t jumping straight to a Skynet fix-it bot. It’s about stabilizing operations with policy-based monitoring to regain control and spot patterns. The real breakthrough, according to Banfield, happens when you unify monitoring, automation, and accountability into a closed loop that doesn’t just detect issues but resolves them at scale before a user ever sees a spinning beach ball.
That’s where agentic AI enters the chat. Systems like TeamViewer ONE aren’t limited to looking for pre-defined problems. They hunt for anomalies autonomously, aiming to crush digital friction before it crushes productivity. If you are still measuring IT success by how fast you close tickets, you are already losing money and burning out your staff in the background.
