From reactive operations to autonomous infrastructure: What IT leaders must do next
As artificial intelligence agents begin to proliferate across information technology infrastructure, IT leaders are moving away from asking, “How do we monitor every alert?” to “How do we design infrastructure that can solve its own problems?”
Operations teams can now deploy agents to triage alerts, correlate operational data and automate certain remediation steps without constant oversight. The potential to free up time for more meaningful and strategic work could be a monumental shift in how IT is managed.
The operations model has historically relied on reactive measures, meaning teams need to be on call around the clock. The operations crisis caused by tool sprawl, talent shortages and burnout has made this scenario unsustainable. Autonomous IT can be the answer.
But though enthusiasm is clearly there, only 5% of the IT professionals we recently surveyed report that AI is currently core to their operations. Given this gap between AI ambition and execution, what will it take to build the infrastructure for autonomy in the coming years?
