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The Road to "No Service": How to Deliver Best-in-Class Customer Service with Automation

Holly Simmons

Some say "the best service is no service," yet getting to the nirvana of eliminating the reasons why customers call is a challenge. Today's customer service teams are buried under manual workloads, and the volume of incoming cases is increasing, leaving little time for redesigning processes, anticipating customer issues, or driving strategic projects. One of the quickest ways to reduce caseloads and make measurable improvements to the bottom line is with self-service and automation.

Yet, according to a recent ServiceNow report, almost 60% of customer service leaders stated that lack of self-service was an extremely or somewhat large challenge and another 53% said they offer no automation today of service processes.

Why Haven't More Companies Embraced Automation?

To provide an effortless experience for customers as well as for the agents serving them, businesses need to move beyond siloed approaches to embrace a modern cloud-based customer service system with an end-to-end workflow that connects departments, processes, and systems. Imagine taking your most frequently recurring requests, such as a customer asking for an upgrade or password reset, and enabling them to help themselves while having the entire process completed without agent or technician involvement. Not only is the service faster, but errors are reduced, and agents can spend time-solving the less familiar and more challenging problems.

Best-In-Class Customer Service Requires Focus on Automation and Self-Service

ServiceNow's recent survey of 200 customer service leaders reveals practices of best-in-class customer service organizations, and according to the findings, these companies are 36% more likely than their lower performing counterparts to offer self-service to their customers. This substantial gap translates into cost savings, higher quality service delivery, and improved customer satisfaction.

Getting Started with Automation

A modern customer service management system should provide the following capabilities to take full advantage of self-service and automation opportunities:

Self-service portal and catalog– Many companies have websites or portals to initiate a request for service, but the winning combination is to have not only a delightful entry point for customers, but to complement that with end-to-end automation on the back end that drives the process to completion. Additionally, your portal should enable customers to make typical requests from a catalog, file cases directly for less common issues, view details of their products and services, including operational status, as well as receive proactive updates regarding issues or opportunities to improve their use of the product they purchased.

Knowledgebase and collaborative forums– Company and customer-generated content provide the quickest way for customers to help themselves before generating a call or case. Additionally, being able to drive continuous improvement with knowledge management performance analytics helps you to know which content is being read, whether it's serving customer needs, or if it needs to be improved. Make sure your customer service system provides a knowledge base, question and answer capabilities, as well as collaborative capabilities like forums.

Publications or notifications– To truly deliver proactive service, customer support teams need to be able to provide information to customers via newsletters or notifications. These should be readily available from your self-service portal.

Chat– While many users will take advantage of the knowledge base, Q&A, collaboration, or filing their own cases, chat provides a quick way for customers to engage quickly.

Automated case assignment– Get the most appropriate agents assigned to cases based on skills, location, or availability. This works for both customer service and field service whether the case is from a call or other self-service channels such as the service catalog or chat.

Flexible workflow and business rules– Not traditionally part of customer service systems, a modern approach to serving customer requires a flexible workflow capability that is part of a single platform that works across all of the people, processes, and systems needed to support a customer.

Performance analytics– The only way to continuously reduce the number of recurring requests, know what is helping customers, and know where improvements are needed is to proactively monitor real-time performance so that you can take action.

With the power of the cloud and a modern customer service system, any organization can become best-in-class by taking advantage of self-service and automation. Take advantage of these capabilities to begin your journey becoming a proactive customer service organization.

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The Road to "No Service": How to Deliver Best-in-Class Customer Service with Automation

Holly Simmons

Some say "the best service is no service," yet getting to the nirvana of eliminating the reasons why customers call is a challenge. Today's customer service teams are buried under manual workloads, and the volume of incoming cases is increasing, leaving little time for redesigning processes, anticipating customer issues, or driving strategic projects. One of the quickest ways to reduce caseloads and make measurable improvements to the bottom line is with self-service and automation.

Yet, according to a recent ServiceNow report, almost 60% of customer service leaders stated that lack of self-service was an extremely or somewhat large challenge and another 53% said they offer no automation today of service processes.

Why Haven't More Companies Embraced Automation?

To provide an effortless experience for customers as well as for the agents serving them, businesses need to move beyond siloed approaches to embrace a modern cloud-based customer service system with an end-to-end workflow that connects departments, processes, and systems. Imagine taking your most frequently recurring requests, such as a customer asking for an upgrade or password reset, and enabling them to help themselves while having the entire process completed without agent or technician involvement. Not only is the service faster, but errors are reduced, and agents can spend time-solving the less familiar and more challenging problems.

Best-In-Class Customer Service Requires Focus on Automation and Self-Service

ServiceNow's recent survey of 200 customer service leaders reveals practices of best-in-class customer service organizations, and according to the findings, these companies are 36% more likely than their lower performing counterparts to offer self-service to their customers. This substantial gap translates into cost savings, higher quality service delivery, and improved customer satisfaction.

Getting Started with Automation

A modern customer service management system should provide the following capabilities to take full advantage of self-service and automation opportunities:

Self-service portal and catalog– Many companies have websites or portals to initiate a request for service, but the winning combination is to have not only a delightful entry point for customers, but to complement that with end-to-end automation on the back end that drives the process to completion. Additionally, your portal should enable customers to make typical requests from a catalog, file cases directly for less common issues, view details of their products and services, including operational status, as well as receive proactive updates regarding issues or opportunities to improve their use of the product they purchased.

Knowledgebase and collaborative forums– Company and customer-generated content provide the quickest way for customers to help themselves before generating a call or case. Additionally, being able to drive continuous improvement with knowledge management performance analytics helps you to know which content is being read, whether it's serving customer needs, or if it needs to be improved. Make sure your customer service system provides a knowledge base, question and answer capabilities, as well as collaborative capabilities like forums.

Publications or notifications– To truly deliver proactive service, customer support teams need to be able to provide information to customers via newsletters or notifications. These should be readily available from your self-service portal.

Chat– While many users will take advantage of the knowledge base, Q&A, collaboration, or filing their own cases, chat provides a quick way for customers to engage quickly.

Automated case assignment– Get the most appropriate agents assigned to cases based on skills, location, or availability. This works for both customer service and field service whether the case is from a call or other self-service channels such as the service catalog or chat.

Flexible workflow and business rules– Not traditionally part of customer service systems, a modern approach to serving customer requires a flexible workflow capability that is part of a single platform that works across all of the people, processes, and systems needed to support a customer.

Performance analytics– The only way to continuously reduce the number of recurring requests, know what is helping customers, and know where improvements are needed is to proactively monitor real-time performance so that you can take action.

With the power of the cloud and a modern customer service system, any organization can become best-in-class by taking advantage of self-service and automation. Take advantage of these capabilities to begin your journey becoming a proactive customer service organization.

Hot Topics

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 ...