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Most Organizations Do Not Provide Completely Connected User Experiences

Most (70%) organizations struggle to provide completely connected user experiences across all channels, according to MuleSoft's 2022 Connectivity Benchmark Report.


This comes at a time when almost three-quarters (72%) of organizations' customer interactions are now digital. Yet, as digitalization accelerates, organizations could lose on average $7 million ($6,846,979) in revenue if they fail to successfully complete digital transformation initiatives.

To grow in today's competitive environment, companies need to deliver connected digital experiences — for both customers and employees.

"In this all-digital world, customers and employees expect truly connected experiences," said Brent Hayward, CEO, MuleSoft. "However, siloed applications and data continue to hinder customer experience and digital transformation — and it is now costing businesses millions of dollars per year. Companies need to be able to easily integrate a growing number of apps and data sources to automate their business, create seamless digital experiences, and drive growth."

Customers Expect Seamless User Experiences

Applications lie at the center of digital transformation and efforts to enhance the user experience. On average, organizations are using 976 individual applications (compared to 843 a year ago). Yet only 28% of these applications are integrated on average, indicating there is still an enormous opportunity to improve connected user experiences. The report indicates that:

Creating connected user experiences has become increasingly difficult: More than half (55%) of organizations said they find it difficult to integrate user experiences. This is up from 48% a year ago, showing there is increasing complexity for companies to meet their customers' digital needs.

Overcoming security and governance challenges is a hurdle: Security and governance (54%) was cited as the biggest challenge to integrating user experiences, ahead of outdated IT infrastructure (46%) and an inability to keep up with ever-changing processes, tools, and systems (42%).

Integrating user experience delivers business benefits: Of the organizations that have integrated user experiences, more than half said it had enhanced visibility into operations (54%) and increased customer engagement (54%). Other benefits realized included innovation (50%), improved ROI (48%), and increased automation adoption (45%).

Integration Challenges Hinder Digital Experiences and Initiatives

Data silos remain a significant barrier to creating integrated user experiences, with the number of organizations citing silos as a challenge (90%) remaining unchanged from a year ago. The report shows:

Integration headaches: The biggest challenges to digital transformation are integrating siloed apps and data (38%) and risk management and compliance (37%). 88% of respondents said integration challenges continue to slow digital transformation initiatives.

Too much is being spent on custom integration: In their efforts to integrate apps and data from across the enterprise, organizations appear to be focusing more resources in the wrong areas, such as custom integration. As a result, they are increasing their technical debt. On average, organizations spent $3.65 million* on custom integration labor in the last 12 months, a 4% increase from last year ($3.5 million).

IT budgets are up, but so is demand: 85% of organizations said IT budgets have increased year-on-year (compared to 77% last year). At the same time, the number of projects IT is asked to deliver increased by 40% on average, a big jump from 30% a year ago. Despite the extra budget, IT is finding it difficult to meet the demands of the business. On average, more than half (52%) of projects weren't delivered on time over the past 12 months.

Organizations Turn To APIs to Drive Digital Transformation and Revenue

Despite these integration challenges, the vast majority (98%) of organizations use APIs. By using APIs to connect data and applications, organizations can digitally transform in a more sustainable manner and accelerate business success. The report indicates:

A top down integration and API strategy: Most (90%) organizations now have a clear integration and API strategy. Over a quarter (26%) said leaders now demand that all projects abide by a company-wide API integration strategy, up from just 15% a year ago.

Reuse is on the rise: Organizations are increasingly creating and using reusable IT assets and APIs to create new experiences and accelerate projects, rather than building from scratch each time. On average, 46% of organizations' internal software assets and components are available for developers to reuse — an increase from 42% a year ago. Nearly half (48%) of organizations said IT is actively reusing these components, versus 41% in the 2021 report.

Empowerment of business users: Enabling non-technical users to harness low-code tools to drive their own automation and digital transformation projects can take huge pressure off IT teams. More than half (55%) of organizations now have a "very mature" or "mature" strategy to empower these users to integrate apps and data sources powered by APIs (compared to 36% last year).

APIs drive revenue: Two-fifths (40%) of organizations said they have experienced revenue growth as a direct result of leveraging APIs (compared to 28% a year ago).

"Digital agility is essential to successful transformation, allowing organizations to drive innovation at scale, deliver new initiatives faster, and create the experiences that customers want," said Kurt Anderson, Managing Director and API transformation leader, Deloitte Consulting LLP. "A modern strategy that combines integration, API management, and automation is central to achieving digital agility. It enables organizations to easily connect and integrate their data, applications, and devices to create new digital capabilities and drive transformation projects."

Methodology: For the seventh-annual Connectivity Benchmark Report, MuleSoft, in partnership with Vanson Bourne, surveyed 1,050 IT leaders from global enterprises. The goal was to uncover how much value businesses actually gain from digital transformation, and to understand IT leaders' most successful strategies for achieving digital transformation goals. The online survey was conducted between October 2021 and November 2021 across the United States, the United Kingdom, France, Germany, the Netherlands, Australia, Singapore, Hong Kong, and Japan. Only suitable candidates participated in the survey and were verified by using a rigorous, multi-level screening process. All respondents work at an enterprise organization in the public or private sector with at least 1,000 employees and hold a managerial position or above in an IT department.

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 ...

Most Organizations Do Not Provide Completely Connected User Experiences

Most (70%) organizations struggle to provide completely connected user experiences across all channels, according to MuleSoft's 2022 Connectivity Benchmark Report.


This comes at a time when almost three-quarters (72%) of organizations' customer interactions are now digital. Yet, as digitalization accelerates, organizations could lose on average $7 million ($6,846,979) in revenue if they fail to successfully complete digital transformation initiatives.

To grow in today's competitive environment, companies need to deliver connected digital experiences — for both customers and employees.

"In this all-digital world, customers and employees expect truly connected experiences," said Brent Hayward, CEO, MuleSoft. "However, siloed applications and data continue to hinder customer experience and digital transformation — and it is now costing businesses millions of dollars per year. Companies need to be able to easily integrate a growing number of apps and data sources to automate their business, create seamless digital experiences, and drive growth."

Customers Expect Seamless User Experiences

Applications lie at the center of digital transformation and efforts to enhance the user experience. On average, organizations are using 976 individual applications (compared to 843 a year ago). Yet only 28% of these applications are integrated on average, indicating there is still an enormous opportunity to improve connected user experiences. The report indicates that:

Creating connected user experiences has become increasingly difficult: More than half (55%) of organizations said they find it difficult to integrate user experiences. This is up from 48% a year ago, showing there is increasing complexity for companies to meet their customers' digital needs.

Overcoming security and governance challenges is a hurdle: Security and governance (54%) was cited as the biggest challenge to integrating user experiences, ahead of outdated IT infrastructure (46%) and an inability to keep up with ever-changing processes, tools, and systems (42%).

Integrating user experience delivers business benefits: Of the organizations that have integrated user experiences, more than half said it had enhanced visibility into operations (54%) and increased customer engagement (54%). Other benefits realized included innovation (50%), improved ROI (48%), and increased automation adoption (45%).

Integration Challenges Hinder Digital Experiences and Initiatives

Data silos remain a significant barrier to creating integrated user experiences, with the number of organizations citing silos as a challenge (90%) remaining unchanged from a year ago. The report shows:

Integration headaches: The biggest challenges to digital transformation are integrating siloed apps and data (38%) and risk management and compliance (37%). 88% of respondents said integration challenges continue to slow digital transformation initiatives.

Too much is being spent on custom integration: In their efforts to integrate apps and data from across the enterprise, organizations appear to be focusing more resources in the wrong areas, such as custom integration. As a result, they are increasing their technical debt. On average, organizations spent $3.65 million* on custom integration labor in the last 12 months, a 4% increase from last year ($3.5 million).

IT budgets are up, but so is demand: 85% of organizations said IT budgets have increased year-on-year (compared to 77% last year). At the same time, the number of projects IT is asked to deliver increased by 40% on average, a big jump from 30% a year ago. Despite the extra budget, IT is finding it difficult to meet the demands of the business. On average, more than half (52%) of projects weren't delivered on time over the past 12 months.

Organizations Turn To APIs to Drive Digital Transformation and Revenue

Despite these integration challenges, the vast majority (98%) of organizations use APIs. By using APIs to connect data and applications, organizations can digitally transform in a more sustainable manner and accelerate business success. The report indicates:

A top down integration and API strategy: Most (90%) organizations now have a clear integration and API strategy. Over a quarter (26%) said leaders now demand that all projects abide by a company-wide API integration strategy, up from just 15% a year ago.

Reuse is on the rise: Organizations are increasingly creating and using reusable IT assets and APIs to create new experiences and accelerate projects, rather than building from scratch each time. On average, 46% of organizations' internal software assets and components are available for developers to reuse — an increase from 42% a year ago. Nearly half (48%) of organizations said IT is actively reusing these components, versus 41% in the 2021 report.

Empowerment of business users: Enabling non-technical users to harness low-code tools to drive their own automation and digital transformation projects can take huge pressure off IT teams. More than half (55%) of organizations now have a "very mature" or "mature" strategy to empower these users to integrate apps and data sources powered by APIs (compared to 36% last year).

APIs drive revenue: Two-fifths (40%) of organizations said they have experienced revenue growth as a direct result of leveraging APIs (compared to 28% a year ago).

"Digital agility is essential to successful transformation, allowing organizations to drive innovation at scale, deliver new initiatives faster, and create the experiences that customers want," said Kurt Anderson, Managing Director and API transformation leader, Deloitte Consulting LLP. "A modern strategy that combines integration, API management, and automation is central to achieving digital agility. It enables organizations to easily connect and integrate their data, applications, and devices to create new digital capabilities and drive transformation projects."

Methodology: For the seventh-annual Connectivity Benchmark Report, MuleSoft, in partnership with Vanson Bourne, surveyed 1,050 IT leaders from global enterprises. The goal was to uncover how much value businesses actually gain from digital transformation, and to understand IT leaders' most successful strategies for achieving digital transformation goals. The online survey was conducted between October 2021 and November 2021 across the United States, the United Kingdom, France, Germany, the Netherlands, Australia, Singapore, Hong Kong, and Japan. Only suitable candidates participated in the survey and were verified by using a rigorous, multi-level screening process. All respondents work at an enterprise organization in the public or private sector with at least 1,000 employees and hold a managerial position or above in an IT department.

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 ...