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How IT Can Score More Touchdowns

Matthew Selheimer

IT has come a long way over the last five to 10 years. Issues like password resets, fixing VPN connections, and even spinning up virtual machines in the cloud for software development projects have become routine, and IT staffs can handle them quickly and easily with minimal loss of productivity (and revenue) for the business.

In fact, about 82 percent of IT incidents are handled in the expected amount of time, according to Pink Elephant. That sounds pretty good, and in some ways it is. The problem is that the number hasn’t improved much in recent years. IT has gotten really good at the basics, but the other 18 percent of incidents continue to take much longer to fix, negatively impacting productivity and potentially holding back the business.

It’s Fall, so let’s think about it in football terms. If your favorite team were really good at driving 82 yards but then couldn’t score a touchdown, it wouldn’t win many games by settling for field goals. The best teams excel at scoring once they get into the red zone, the last 20 yards standing between them and seven more points on the board. Those final 18 yards – or for IT, that last 18 percent – are extremely important.

And those aforementioned statistics are just for incidents. It’s even worse when we look at change management. A study by Forrester found that change success rates are 60-79 percent for most organizations. Nineteen percent of those surveyed reported that 40 percent of their IT incidents were self-inflicted wounds caused by IT changes and a whopping 31 percent didn’t even know what percentage of incidents were caused by changes!

Meanwhile, more than two-thirds of organizations could not make a change to their infrastructure on a weekly basis. In a world where businesses have to be agile and stable, those facts are disastrous. It means IT is holding those businesses back and it means that the change problem has to be tackled to get IT in the end zone.

Why haven’t we seen more improvement with “red zone” IT? I think we can agree for the most part we have good, talented people working in IT. By and large, we have good processes too. And with few exceptions, we have good technology. The truth is we’ve been using the same approaches and solutions over and over again and expecting different results. I think there’s a famous quote about how that ends.

Rather than trying to address the people issue with more training (useful always but not the answer), the process issue with another version of ITIL (I’m not holding my breath) or the technology issue with more tool customization or automations, it’s time – past time, really – to consider a new approach that takes advantage of all the untapped knowledge among IT staff and helps them collaborate much more effectively.

Imagine a whole new IT world where tribal knowledge surfaces in the heat of the moment when it’s needed, team members are able to collaborate in real time and all assets can be visualized with their interdependencies clearly shown so you can see where the ripple effects of changes will go both upstream and downstream.

As revolutionary as these ideas may sound, they don’t require much change to what you’ve been doing in an ad hoc matter already. It means getting out of tools that are all about tickets and moving away from SharePoint “document dumps” and putting the ball back in the hands of your human talent so they can collaborate better together for that final 18 percent. You don’t need to fire your players or coaches and tear down the stadium. What you need is a new playbook that takes full advantage of your personnel’s knowledge about your environment and helps everyone work together to move the team forward on every drive.

Right team + right tools + right information = right red zone IT game plan, and that means a lot more touchdowns! Stop settling for IT field goals and get your team into the end zone.

Matthew Selheimer is Chief Technical Evangelist and SVP of Marketing at ITinvolve.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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.

How IT Can Score More Touchdowns

Matthew Selheimer

IT has come a long way over the last five to 10 years. Issues like password resets, fixing VPN connections, and even spinning up virtual machines in the cloud for software development projects have become routine, and IT staffs can handle them quickly and easily with minimal loss of productivity (and revenue) for the business.

In fact, about 82 percent of IT incidents are handled in the expected amount of time, according to Pink Elephant. That sounds pretty good, and in some ways it is. The problem is that the number hasn’t improved much in recent years. IT has gotten really good at the basics, but the other 18 percent of incidents continue to take much longer to fix, negatively impacting productivity and potentially holding back the business.

It’s Fall, so let’s think about it in football terms. If your favorite team were really good at driving 82 yards but then couldn’t score a touchdown, it wouldn’t win many games by settling for field goals. The best teams excel at scoring once they get into the red zone, the last 20 yards standing between them and seven more points on the board. Those final 18 yards – or for IT, that last 18 percent – are extremely important.

And those aforementioned statistics are just for incidents. It’s even worse when we look at change management. A study by Forrester found that change success rates are 60-79 percent for most organizations. Nineteen percent of those surveyed reported that 40 percent of their IT incidents were self-inflicted wounds caused by IT changes and a whopping 31 percent didn’t even know what percentage of incidents were caused by changes!

Meanwhile, more than two-thirds of organizations could not make a change to their infrastructure on a weekly basis. In a world where businesses have to be agile and stable, those facts are disastrous. It means IT is holding those businesses back and it means that the change problem has to be tackled to get IT in the end zone.

Why haven’t we seen more improvement with “red zone” IT? I think we can agree for the most part we have good, talented people working in IT. By and large, we have good processes too. And with few exceptions, we have good technology. The truth is we’ve been using the same approaches and solutions over and over again and expecting different results. I think there’s a famous quote about how that ends.

Rather than trying to address the people issue with more training (useful always but not the answer), the process issue with another version of ITIL (I’m not holding my breath) or the technology issue with more tool customization or automations, it’s time – past time, really – to consider a new approach that takes advantage of all the untapped knowledge among IT staff and helps them collaborate much more effectively.

Imagine a whole new IT world where tribal knowledge surfaces in the heat of the moment when it’s needed, team members are able to collaborate in real time and all assets can be visualized with their interdependencies clearly shown so you can see where the ripple effects of changes will go both upstream and downstream.

As revolutionary as these ideas may sound, they don’t require much change to what you’ve been doing in an ad hoc matter already. It means getting out of tools that are all about tickets and moving away from SharePoint “document dumps” and putting the ball back in the hands of your human talent so they can collaborate better together for that final 18 percent. You don’t need to fire your players or coaches and tear down the stadium. What you need is a new playbook that takes full advantage of your personnel’s knowledge about your environment and helps everyone work together to move the team forward on every drive.

Right team + right tools + right information = right red zone IT game plan, and that means a lot more touchdowns! Stop settling for IT field goals and get your team into the end zone.

Matthew Selheimer is Chief Technical Evangelist and SVP of Marketing at ITinvolve.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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.