Cut Incident Resolution From 3 Weeks to 1 Hour, Saving 1,000+ Hours

When IT incidents routinely took up to three weeks to resolve and repetitive repair work consumed vast amounts of manual effort, this organization knew it needed a smarter approach. By deploying AIOps to surface root causes and automating common repair tasks, the team transformed their incident management process. The results were dramatic: resolution times plummeted from three weeks to approximately one hour, while automation saved more than 1,000 hours per year. This freed the IT team to focus on higher-value work and significantly improved day-to-day operational efficiency.
Case Study Source: IBM

Problem Statement

IT incidents were taking far too long to resolve—sometimes up to three weeks—and routine repair activities were consuming a large amount of manual effort.

Goal

Dramatically shorten incident resolution times and automate repetitive repair tasks to free up staff capacity.

Challenges

Incident resolution stretched to as long as three weeks.

Significant manual effort tied up in repetitive repair work.


Actions


Deployed AIOps to analyse operational data and surface significant events with likely root causes for rapid action.

Automated common repair tasks to remove manual steps and speed remediation.

Streamlined alerting and handoffs to IT and DevOps teams for faster response and recovery.

Enabled automatic resolution where appropriate to reduce human intervention.


Key Results

Impact


Freed over 1,000 hours annually for higher‑value IT work.

Faster incident recovery improved day‑to‑day operational efficiency.

Transforming IT Operations: From Weeks to Hours

This organisation faced a serious operational bottleneck. When technical problems arose, teams were spending up to three weeks just to resolve a single incident. Meanwhile, staff were bogged down with endless routine repairs that demanded constant manual attention.

The impact was clear: valuable technical expertise was being wasted on repetitive work, and slow response times were affecting daily business operations. Something had to change.

The Challenge

Two main issues were holding the organisation back. First, the sheer length of time needed to fix IT problems—sometimes stretching to three weeks—was simply unsustainable. Second, the repetitive nature of many repair tasks meant engineers were spending far too much time on work that could theoretically be handled automatically.

The organisation needed a way to both speed up incident response and reclaim staff time for more strategic initiatives.

A New Approach

The solution centred on intelligent automation and better workflow design. The team introduced AIOps technology to examine operational data in real time, identifying important events and pinpointing probable root causes. This meant issues could be addressed quickly rather than getting lost in noise.

Common repair activities were automated to eliminate manual steps entirely. The team also redesigned how alerts were handled, creating smoother handovers between IT and DevOps teams. Where it made sense, systems were configured to resolve certain issues automatically without needing human involvement at all.

Remarkable Results

The transformation was dramatic. Resolution times fell from three weeks to roughly one hour—a staggering improvement that changed how the organisation operates day to day.

The automation of routine repairs delivered substantial gains too, saving more than 1,000 hours each year. That’s time now available for innovation, improvement projects, and tackling more complex challenges.

Lasting Impact

Beyond the impressive statistics, the real value lies in how the organisation now functions. Engineers are no longer trapped doing repetitive work. Instead, they can focus on high-value activities that genuinely require human expertise and creativity.

Faster incident recovery has improved operational efficiency across the board. Problems that once lingered for weeks are now resolved in an hour or so, meaning less disruption and better service for everyone who depends on these systems.

What’s particularly noteworthy is how automation and intelligent tools have complemented rather than replaced the technical team. The technology handles the routine and predictable, whilst skilled staff tackle the complex and strategic. It’s a model that makes the most of both human expertise and machine efficiency.

This case demonstrates what’s possible when organisations rethink how they handle IT operations. By combining smart automation with streamlined processes, it’s entirely feasible to achieve order-of-magnitude improvements in both speed and efficiency.

Case Study Source: IBM

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