Skip to main content

IT Teams Are Increasing Investment in Automation - Why and How You Should Do the Same

Shawn Herring
airSlate

It has been talked about at length, but the workforce has changed dramatically since 2020, and it continues to evolve. Roles have shifted, the way we meet and collaborate has changed, and we've seen a significant increase in burnout and other challenges.

Professionals in the IT and Operations spaces are especially feeling the effects of a changing workforce. They are dealing with massive layoffs, the threat of a challenging economy, shadow IT, and cybersecurity risks. In addition, colleagues across their organizations are finding and implementing tech solutions on their own, which leads to a whole host of other issues.


A recent survey sponsored by airSlate took a deeper look into what's happening across IT and Ops departments and how embracing automation can get everyone back on track.

Too Much Work Outside of Regular Responsibilities

In a survey of 522 IT and Ops professionals, the number one concern was found to be that team members would be pulled in to problem-solve and fix poorly implemented solutions.

A majority of IT and Ops pros ( 60%) faced increased workloads outside of their original roles and responsibilities.

Mass layoffs contributed to increased workloads, with 71% of IT and Ops professionals having already experienced layoffs in the 6 months prior to the survey.

The effect of constant problem-solving is that there is less time to focus on work that really matters — work like creating infrastructures and processes that level-up organizations, prioritize security, drive productivity, and result in positive outcomes.

Risks Associated with Shadow IT

85% of surveyed IT professionals are concerned about shadow IT projects, which involve hardware, software, or resources that are introduced without an IT department's authorization or oversight.

Shadow IT is a real problem. As already mentioned, it can take precious time away from business growth efforts, but beyond that, shadow IT can compromise security, cost an organization hundreds of thousands of dollars, and can negatively impact organizational infrastructure.

While working remotely has highlighted our desire to be more autonomous and spend less time on routine work, organizations need to put up guardrails to ensure that tech solutions are properly implemented and used.

This is where IT personnel and other colleagues can work together for the good of the entire organization.

70% of organizations favor citizen development efforts. Citizen developers are employees who reside outside the IT department and often have the skills needed to build apps and automate workflows using low-code/no-code tools.

Alongside governance from the IT team, citizen developers can help fuel the productivity and efficiency of an organization. Fortunately, 92% of IT teams believe their teams have the skills needed to implement and leverage workflow automation solutions, and they can make sure this is done properly by:

■ Informing staff about approved tools and providing them access

■ Defining security protocols

■ Offering ongoing mentorship and support

Embracing Automation Solutions

Almost 41% of IT and Ops professionals are still spending too much time on manual administrative tasks, which hampers their overall productivity. IT and Ops pros want to see positive change and are asking for more automated solutions, clearer priorities, and more autonomy to implement solutions. Many companies are already responding by taking steps to introduce more automation into their operations.

75% of teams are planning on increasing their investment in automation, with the vast majority already using low-code/no-code tools. And the results speak for themselves.

A whopping 94% of organizations who have implemented automation tools say that it has increased their productivity.

Given the favorable outcomes, in the next 12-18 months IT and Ops teams plan to prioritize automation for document workflows relating to Finance, Sales, and Marketing.

When it comes to automation, more than 63% of IT and Ops personnel are looking for tools that meet specific requirements, such as tools that:

■ Are cost-efficient

■ Improve productivity and streamline outdated processes

■ Prioritize security and privacy for sensitive documentation

Challenging Times Need Innovative Solutions

It's clear that we are still facing challenges and are still adjusting to a transforming workforce. The good news is that we have evidence that investing in automation and monitoring the use of automation tools within an organization results in increased productivity, efficiency, and a more satisfied workforce.

The results of this survey should prompt leaders to ask questions about their strategic plans, such as:

■ Are we giving automation as much attention as we should?

■ How do I expect to maintain a competitive advantage?

■ How can I invest in my talent pool so they feel heard, appreciated, and supported?

■ What can I prioritize in the next 3, 6, and 12 months to put us on the right track?

■ If I don't embrace automation and AI, what are the repercussions? Can we survive those repercussions?

Shawn Herring is CMO of airSlate

Hot Topics

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

IT Teams Are Increasing Investment in Automation - Why and How You Should Do the Same

Shawn Herring
airSlate

It has been talked about at length, but the workforce has changed dramatically since 2020, and it continues to evolve. Roles have shifted, the way we meet and collaborate has changed, and we've seen a significant increase in burnout and other challenges.

Professionals in the IT and Operations spaces are especially feeling the effects of a changing workforce. They are dealing with massive layoffs, the threat of a challenging economy, shadow IT, and cybersecurity risks. In addition, colleagues across their organizations are finding and implementing tech solutions on their own, which leads to a whole host of other issues.


A recent survey sponsored by airSlate took a deeper look into what's happening across IT and Ops departments and how embracing automation can get everyone back on track.

Too Much Work Outside of Regular Responsibilities

In a survey of 522 IT and Ops professionals, the number one concern was found to be that team members would be pulled in to problem-solve and fix poorly implemented solutions.

A majority of IT and Ops pros ( 60%) faced increased workloads outside of their original roles and responsibilities.

Mass layoffs contributed to increased workloads, with 71% of IT and Ops professionals having already experienced layoffs in the 6 months prior to the survey.

The effect of constant problem-solving is that there is less time to focus on work that really matters — work like creating infrastructures and processes that level-up organizations, prioritize security, drive productivity, and result in positive outcomes.

Risks Associated with Shadow IT

85% of surveyed IT professionals are concerned about shadow IT projects, which involve hardware, software, or resources that are introduced without an IT department's authorization or oversight.

Shadow IT is a real problem. As already mentioned, it can take precious time away from business growth efforts, but beyond that, shadow IT can compromise security, cost an organization hundreds of thousands of dollars, and can negatively impact organizational infrastructure.

While working remotely has highlighted our desire to be more autonomous and spend less time on routine work, organizations need to put up guardrails to ensure that tech solutions are properly implemented and used.

This is where IT personnel and other colleagues can work together for the good of the entire organization.

70% of organizations favor citizen development efforts. Citizen developers are employees who reside outside the IT department and often have the skills needed to build apps and automate workflows using low-code/no-code tools.

Alongside governance from the IT team, citizen developers can help fuel the productivity and efficiency of an organization. Fortunately, 92% of IT teams believe their teams have the skills needed to implement and leverage workflow automation solutions, and they can make sure this is done properly by:

■ Informing staff about approved tools and providing them access

■ Defining security protocols

■ Offering ongoing mentorship and support

Embracing Automation Solutions

Almost 41% of IT and Ops professionals are still spending too much time on manual administrative tasks, which hampers their overall productivity. IT and Ops pros want to see positive change and are asking for more automated solutions, clearer priorities, and more autonomy to implement solutions. Many companies are already responding by taking steps to introduce more automation into their operations.

75% of teams are planning on increasing their investment in automation, with the vast majority already using low-code/no-code tools. And the results speak for themselves.

A whopping 94% of organizations who have implemented automation tools say that it has increased their productivity.

Given the favorable outcomes, in the next 12-18 months IT and Ops teams plan to prioritize automation for document workflows relating to Finance, Sales, and Marketing.

When it comes to automation, more than 63% of IT and Ops personnel are looking for tools that meet specific requirements, such as tools that:

■ Are cost-efficient

■ Improve productivity and streamline outdated processes

■ Prioritize security and privacy for sensitive documentation

Challenging Times Need Innovative Solutions

It's clear that we are still facing challenges and are still adjusting to a transforming workforce. The good news is that we have evidence that investing in automation and monitoring the use of automation tools within an organization results in increased productivity, efficiency, and a more satisfied workforce.

The results of this survey should prompt leaders to ask questions about their strategic plans, such as:

■ Are we giving automation as much attention as we should?

■ How do I expect to maintain a competitive advantage?

■ How can I invest in my talent pool so they feel heard, appreciated, and supported?

■ What can I prioritize in the next 3, 6, and 12 months to put us on the right track?

■ If I don't embrace automation and AI, what are the repercussions? Can we survive those repercussions?

Shawn Herring is CMO of airSlate

Hot Topics

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...