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Lack of Automation Hinders Speed of Response to IT Outages and Incidents

Vincent Geffray

It's an eye opener to see that while companies have implemented service management for the most part — more than 90 percent of companies reporting that they have an IT Service Management system (ITSM) — only 11 percent of companies stated that they have automated the process for organizing their response to IT outages and incidents, according to Everbridge's 2016 State of IT Incident Management report.

This finding is significant because 47 percent of the companies reported having a major IT incident at least 6 times a year, the average cost of downtime is $8,662 per minute, and companies take 27 minutes on average to assemble an IT response team. Automated solutions can reduce this average time to 5 minutes or less. Considering the average cost of $8,662 per minute, the savings realized could be higher than $190,000 per major IT incident.

Key findings from the research include:

Most Companies Have an ITSM or Ticketing System

Over 90 percent of companies reported using an ITSM or ticketing system.

Major IT Outages or Incidents Occur Quite Frequently

47 percent of companies experience a major IT outage or incident six times or more a year.

36 percent experience them close to monthly (11 or more times per year).

More than a quarter of respondents reported that their companies experienced more than 21 incidents last year — that's close to two per month.

Only 9 percent of respondents reported that their organization did not report a major IT outage or incident in the past year.

The most common sources of incidents are network outages (experienced by 61 percent of companies), hardware failure or capacity issues (58 percent), internal business application issues (51 percent ), and unplanned maintenance (41 percent).

Responding to IT Outages and Incidents is Complicated and Too Manual

Two thirds (66 percent) of companies have distributed IT organizations with people spread among multiple locations and multiple time zones.

39 percent have more than 25 people included in their IT response teams. 29 percent have more than 50 people who need to be coordinated to respond to an incident. 16 percent more than 100 people.

43 percent of respondents reported that at least part of their process relies on manually calling and reaching out to people to activate the incident response team. Only 11 percent reported using an IT alerting tool to automate the process. These systems can improve response by reaching people through multiple modalities; use schedules to see who is available; automatically escalate to additional people if designated primary contacts do not respond; automatically organize conference bridges; and provide an audit trail of performance.

Response Times Could be Significantly Reduced by Automation

The mean time to activate and assemble a response team was cited as 27 minutes. Automated solutions can reduce this response time to 5 minutes or less.

IT downtime is expensive and hurts productivity

The average cost of IT downtime was reported as $8,662 per minute.

63 percent of respondents stated that IT incidents or outages hurt employee productivity, 60 percent that it caused IT team disruption or distraction, and 34 percent that it decreased customer satisfaction.

13 percent reported that their organization had experienced bad press or publicity due to an IT incident or outage.

Methodology: The sample for the research was 152 IT professionals, including 86% of respondents from companies of 1000 employees or more, and 45% from companies with more than 10,000 employees.

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Lack of Automation Hinders Speed of Response to IT Outages and Incidents

Vincent Geffray

It's an eye opener to see that while companies have implemented service management for the most part — more than 90 percent of companies reporting that they have an IT Service Management system (ITSM) — only 11 percent of companies stated that they have automated the process for organizing their response to IT outages and incidents, according to Everbridge's 2016 State of IT Incident Management report.

This finding is significant because 47 percent of the companies reported having a major IT incident at least 6 times a year, the average cost of downtime is $8,662 per minute, and companies take 27 minutes on average to assemble an IT response team. Automated solutions can reduce this average time to 5 minutes or less. Considering the average cost of $8,662 per minute, the savings realized could be higher than $190,000 per major IT incident.

Key findings from the research include:

Most Companies Have an ITSM or Ticketing System

Over 90 percent of companies reported using an ITSM or ticketing system.

Major IT Outages or Incidents Occur Quite Frequently

47 percent of companies experience a major IT outage or incident six times or more a year.

36 percent experience them close to monthly (11 or more times per year).

More than a quarter of respondents reported that their companies experienced more than 21 incidents last year — that's close to two per month.

Only 9 percent of respondents reported that their organization did not report a major IT outage or incident in the past year.

The most common sources of incidents are network outages (experienced by 61 percent of companies), hardware failure or capacity issues (58 percent), internal business application issues (51 percent ), and unplanned maintenance (41 percent).

Responding to IT Outages and Incidents is Complicated and Too Manual

Two thirds (66 percent) of companies have distributed IT organizations with people spread among multiple locations and multiple time zones.

39 percent have more than 25 people included in their IT response teams. 29 percent have more than 50 people who need to be coordinated to respond to an incident. 16 percent more than 100 people.

43 percent of respondents reported that at least part of their process relies on manually calling and reaching out to people to activate the incident response team. Only 11 percent reported using an IT alerting tool to automate the process. These systems can improve response by reaching people through multiple modalities; use schedules to see who is available; automatically escalate to additional people if designated primary contacts do not respond; automatically organize conference bridges; and provide an audit trail of performance.

Response Times Could be Significantly Reduced by Automation

The mean time to activate and assemble a response team was cited as 27 minutes. Automated solutions can reduce this response time to 5 minutes or less.

IT downtime is expensive and hurts productivity

The average cost of IT downtime was reported as $8,662 per minute.

63 percent of respondents stated that IT incidents or outages hurt employee productivity, 60 percent that it caused IT team disruption or distraction, and 34 percent that it decreased customer satisfaction.

13 percent reported that their organization had experienced bad press or publicity due to an IT incident or outage.

Methodology: The sample for the research was 152 IT professionals, including 86% of respondents from companies of 1000 employees or more, and 45% from companies with more than 10,000 employees.

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

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The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...