Skip to main content

Transform Customer Service Into a Connected Digital Experience

Holly Simmons

There's no denying it, the world of customer service is changing. So much so that businesses around the globe are rethinking how they approach customer service and are looking at new strategies. Recognizing that the old way of handling customer service interactions is no longer enough, many forward-thinking businesses are turning to digital technologies that connect people, systems, and workflows across the entire organization. Considering that nearly half of US consumers have switched service providers in the past year due to poor service, businesses would be wise to take a closer look at what's driving the changes in customer service and what they can do to keep up.

Even with the rising demand for quality service and research indicating that customer service is a strong competitive differentiator, companies still struggle with reinventing their customer service operations.

Today's customers are knowledgeable and connected. They don't just want good service; rather they expect a personalized, seamless, end-to-end experience with proactive and efficient service from proficient agents. Yet, most companies aren't focused on what the customer desires. Instead, organizations are siloed and processes are frequently disconnected, resulting in a sub-optimal experience for the customer. Most service to date has been focused on front-end engagement, the tip of the iceberg, but ignores what happens “under water”. The latter is where companies can differentiate by becoming a connected enterprise.

Traditional CRM systems have been managing individual customer interactions, but a modern customer management system connects the whole enterprise – customers, employees, and partners. This allows customer service teams to respond immediately to customer requests, deliver effortless service, and anticipate problems before they happen. To start on the path to becoming a connected enterprise, organizations should consider self-service strategies, make customer service a priority across all departments, and transform from reactive to proactive service. The following looks at each of these areas in more detail.

Connect Processes: Self-Service and Automation Save the Day

Today customer service agents fail to answer customer questions up to 50 percent of the time. With little resources to find answers and resolve issues themselves, customers are left feeling frustrated. At the same time, customer service agents spend hours each week buried under manual processes and fielding recurring questions. These inefficiencies are felt by both sides.

With self-service and automation, companies can cut costs while improving customer satisfaction and freeing up customer service teams to focus on more strategic work. In fact, a recent Deloitte survey reveals that 83 percent of respondents expect higher use of web self-services going forward. By moving routine inquiries such as password resets, address changes, or product questions to a self-service portal, community, or knowledgebase, customer service organizations can empower their customers to get the answers they need.

With automation and machine learning, companies can get requests to the right agents and field technicians more quickly. With automated workflows, companies can streamline and connect complex processes, such as insurance claims processing or loan approvals, through multiple departments or external partners.

Connect Teams: Break Down Barriers To Drive Accountability

To be truly customer-centric, everyone within the organization should be collaborating and working to support customer requests and resolve issues. Too often, customer service operates independently from other parts of the business with little to no connection with operations, field service, finance or product development.

When departments are siloed it's difficult to drive accountability. According to Accenture Strategy, the lack of cross-organizational integration is an oft-cited barrier to successful delivery of a superior customer experience. Problems aren't fixed and customers suffer from the inefficiencies of disconnected interactions. All processes, data sources, and business functions need to be connected, and working together to reach final resolution efficiently and effectively. The quality of service, as well as the quality of the company's products and services, improve thus increasing customer satisfaction and loyalty.

Connect Technology and Systems: Move From Reactive to Proactive Service

Ideally, organizations want to get ahead of potential issues that might affect customers. This proactive approach to customer service gives businesses the ability to predict what customers will need rather than always reactiving. Companies can do this through the use of performance analytics and the Internet of Things (IoT). In fact, the IoT is the fastest-growing area of digital investment for B2B customer service organizations and is leading the way in providing more efficient customer service. Performance analytics can help customer service predict trends to act on. For example, analytics might show that a specific issue is recurring at a high frequency and can be automated for immediate efficiencies. Or proactively review service costs to see where adjustments can be made to improve the business.

The customer service needs of today have surpassed what traditional customer service tools and support can give. To meet the increasing demands placed on customer service, a new approach to customer management is imminent. Doing so will allow organizations to provide proactive service that breaks down barriers between departments while improving the quality of the service. By capitalizing on innovative technologies, companies will see improved efficiency, reduced costs, more engaged employees, and what's more, they will be able to meet the high expectations of today's customers.

The Latest

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 ...

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 ...

Transform Customer Service Into a Connected Digital Experience

Holly Simmons

There's no denying it, the world of customer service is changing. So much so that businesses around the globe are rethinking how they approach customer service and are looking at new strategies. Recognizing that the old way of handling customer service interactions is no longer enough, many forward-thinking businesses are turning to digital technologies that connect people, systems, and workflows across the entire organization. Considering that nearly half of US consumers have switched service providers in the past year due to poor service, businesses would be wise to take a closer look at what's driving the changes in customer service and what they can do to keep up.

Even with the rising demand for quality service and research indicating that customer service is a strong competitive differentiator, companies still struggle with reinventing their customer service operations.

Today's customers are knowledgeable and connected. They don't just want good service; rather they expect a personalized, seamless, end-to-end experience with proactive and efficient service from proficient agents. Yet, most companies aren't focused on what the customer desires. Instead, organizations are siloed and processes are frequently disconnected, resulting in a sub-optimal experience for the customer. Most service to date has been focused on front-end engagement, the tip of the iceberg, but ignores what happens “under water”. The latter is where companies can differentiate by becoming a connected enterprise.

Traditional CRM systems have been managing individual customer interactions, but a modern customer management system connects the whole enterprise – customers, employees, and partners. This allows customer service teams to respond immediately to customer requests, deliver effortless service, and anticipate problems before they happen. To start on the path to becoming a connected enterprise, organizations should consider self-service strategies, make customer service a priority across all departments, and transform from reactive to proactive service. The following looks at each of these areas in more detail.

Connect Processes: Self-Service and Automation Save the Day

Today customer service agents fail to answer customer questions up to 50 percent of the time. With little resources to find answers and resolve issues themselves, customers are left feeling frustrated. At the same time, customer service agents spend hours each week buried under manual processes and fielding recurring questions. These inefficiencies are felt by both sides.

With self-service and automation, companies can cut costs while improving customer satisfaction and freeing up customer service teams to focus on more strategic work. In fact, a recent Deloitte survey reveals that 83 percent of respondents expect higher use of web self-services going forward. By moving routine inquiries such as password resets, address changes, or product questions to a self-service portal, community, or knowledgebase, customer service organizations can empower their customers to get the answers they need.

With automation and machine learning, companies can get requests to the right agents and field technicians more quickly. With automated workflows, companies can streamline and connect complex processes, such as insurance claims processing or loan approvals, through multiple departments or external partners.

Connect Teams: Break Down Barriers To Drive Accountability

To be truly customer-centric, everyone within the organization should be collaborating and working to support customer requests and resolve issues. Too often, customer service operates independently from other parts of the business with little to no connection with operations, field service, finance or product development.

When departments are siloed it's difficult to drive accountability. According to Accenture Strategy, the lack of cross-organizational integration is an oft-cited barrier to successful delivery of a superior customer experience. Problems aren't fixed and customers suffer from the inefficiencies of disconnected interactions. All processes, data sources, and business functions need to be connected, and working together to reach final resolution efficiently and effectively. The quality of service, as well as the quality of the company's products and services, improve thus increasing customer satisfaction and loyalty.

Connect Technology and Systems: Move From Reactive to Proactive Service

Ideally, organizations want to get ahead of potential issues that might affect customers. This proactive approach to customer service gives businesses the ability to predict what customers will need rather than always reactiving. Companies can do this through the use of performance analytics and the Internet of Things (IoT). In fact, the IoT is the fastest-growing area of digital investment for B2B customer service organizations and is leading the way in providing more efficient customer service. Performance analytics can help customer service predict trends to act on. For example, analytics might show that a specific issue is recurring at a high frequency and can be automated for immediate efficiencies. Or proactively review service costs to see where adjustments can be made to improve the business.

The customer service needs of today have surpassed what traditional customer service tools and support can give. To meet the increasing demands placed on customer service, a new approach to customer management is imminent. Doing so will allow organizations to provide proactive service that breaks down barriers between departments while improving the quality of the service. By capitalizing on innovative technologies, companies will see improved efficiency, reduced costs, more engaged employees, and what's more, they will be able to meet the high expectations of today's customers.

The Latest

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 ...

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 ...