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Business Technology is Critical to Driving Business Transformation in Organizations

A new technology role is emerging within organizations, "Business Technology," also called Business Applications or Business Systems. This is the team charged with rolling out apps, integrations, and automations in their companies, according to State of Business Technology Report, prepared by Atomik Research for Workato.


The rapidly growing field resides within IT and works with business teams — from finance, human resources, operations, and sales — to help impact initiatives through buying and managing applications, and integrating and automating workflows throughout them.

The roles in a business technology team are expected to encompass more than 15 million jobs by 2022, supporting all business verticals. This job market growth is driven by the proliferation of SaaS applications and continual investment in Enterprise Software — the fastest growing spend in IT at a rate of 10.5 percent year over year. It is also driven by the need for organizations to drive transformation and innovation by aligning IT and business goals.

The report includes responses from two separate surveys; the first of more than 100 full-time Business Technology leaders and the second of more than 300 HR, marketing, sales, finance, and support professionals, manager level and above in the United States.

Key findings include:

Business Technology Leaders Drive Productivity and Innovation

With the continued rise of SaaS applications, Business Technology leaders bring a holistic view of the company across individual functional departments.

■ 94 percent of Business Technology respondents agree or strongly agree that Business Technology Teams are key changemakers and drivers of an organization's productivity and innovation.

Existing Tools Are Slowing Down Business Transformation

■ 82 percent of Business Technology Leaders report being backlogged with their projects with Finance being the biggest culprit at 71 percent, followed by Sales and HR.

■ 44 percent indicate that tools at their disposal are slowing them down followed by tactical, day-to-day firefighting at 42 percent.

Job Frustrations, Challenges Evolving with New Role

■ 91 percent of Business Technology respondents are frustrated with their role, citing the speed with which they are able to respond to Lines of Business demands as their number one frustration. 72 percent feel overworked.

■ Only 18 percent of Business Technology leaders feel "very appreciated" by their Lines Of Business colleagues.

■ 40 percent are frustrated with their current integration/automation tool.

Business Technology and Lines of Business Aren't Fully Aligned

■ Employee onboarding and offboarding is universally acknowledged as important.

■ Business Technology respondents cite "hire to retire" procedures for employee on-boarding and off-boarding as the most desired automations (37%).

■ Lines of Business respondents cite it as the second most desired (26%).

■ Lines of Business respondents identified "Approval Workflows" as their most desired automation, Business Technology rated it in the bottom three.

■ "Procure to Pay" is among the lowest desired automations for Lines Of Business but in the top 3 for Business Technology.

"There is a foundational shift happening in the role of IT, from providing infrastructure and provisioning hardware to working within business teams to optimize the systems and processes they rely on to help drive business impact," said Vijay Tella, Co-Founder and CEO of Workato.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Business Technology is Critical to Driving Business Transformation in Organizations

A new technology role is emerging within organizations, "Business Technology," also called Business Applications or Business Systems. This is the team charged with rolling out apps, integrations, and automations in their companies, according to State of Business Technology Report, prepared by Atomik Research for Workato.


The rapidly growing field resides within IT and works with business teams — from finance, human resources, operations, and sales — to help impact initiatives through buying and managing applications, and integrating and automating workflows throughout them.

The roles in a business technology team are expected to encompass more than 15 million jobs by 2022, supporting all business verticals. This job market growth is driven by the proliferation of SaaS applications and continual investment in Enterprise Software — the fastest growing spend in IT at a rate of 10.5 percent year over year. It is also driven by the need for organizations to drive transformation and innovation by aligning IT and business goals.

The report includes responses from two separate surveys; the first of more than 100 full-time Business Technology leaders and the second of more than 300 HR, marketing, sales, finance, and support professionals, manager level and above in the United States.

Key findings include:

Business Technology Leaders Drive Productivity and Innovation

With the continued rise of SaaS applications, Business Technology leaders bring a holistic view of the company across individual functional departments.

■ 94 percent of Business Technology respondents agree or strongly agree that Business Technology Teams are key changemakers and drivers of an organization's productivity and innovation.

Existing Tools Are Slowing Down Business Transformation

■ 82 percent of Business Technology Leaders report being backlogged with their projects with Finance being the biggest culprit at 71 percent, followed by Sales and HR.

■ 44 percent indicate that tools at their disposal are slowing them down followed by tactical, day-to-day firefighting at 42 percent.

Job Frustrations, Challenges Evolving with New Role

■ 91 percent of Business Technology respondents are frustrated with their role, citing the speed with which they are able to respond to Lines of Business demands as their number one frustration. 72 percent feel overworked.

■ Only 18 percent of Business Technology leaders feel "very appreciated" by their Lines Of Business colleagues.

■ 40 percent are frustrated with their current integration/automation tool.

Business Technology and Lines of Business Aren't Fully Aligned

■ Employee onboarding and offboarding is universally acknowledged as important.

■ Business Technology respondents cite "hire to retire" procedures for employee on-boarding and off-boarding as the most desired automations (37%).

■ Lines of Business respondents cite it as the second most desired (26%).

■ Lines of Business respondents identified "Approval Workflows" as their most desired automation, Business Technology rated it in the bottom three.

■ "Procure to Pay" is among the lowest desired automations for Lines Of Business but in the top 3 for Business Technology.

"There is a foundational shift happening in the role of IT, from providing infrastructure and provisioning hardware to working within business teams to optimize the systems and processes they rely on to help drive business impact," said Vijay Tella, Co-Founder and CEO of Workato.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...