Seven Critical Steps for Successful Service Delivery Automation

Automation Robotics

Automation of Technical Support or Customer Success functions may yield great returns, yet some service activities can be difficult to replicate with systems. Automate what you can, but don’t over automate.

Cost Efficiency and Effectiveness Through Automation

The goal of any service organization must be to achieve the optimal balance between cost efficient service transactions and comprehensive customer engagement that drives customer success.  Automation of Technical Support or Customer Success functions may yield great returns, yet some service activities can be difficult to replicate with systems.

The key to achieving this balance is in the approach a service organization takes to truly understand customer needs and formulating the most cost-effective ways to respond.  Effective customer engagement may require a high rate of live assistance (personal-touch). Over time as the knowledge of customer issues is captured and the tools to help customers express their needs are available, service transactions can become increasingly automated (tech-touch).

Seven Critical Steps for Successful Service Delivery Automation

Here are 7 steps to consider for successful service automation:

1.    Define and document key service delivery processes.

Establish which processes are conducive to automation.

2.    Establish the Appropriate Level of Automation

Establish how much automation is appropriate for customer interactions. Factors should include the level of intimacy desired for customer transactions, they ability for customer to use automated systems and the availability of tools to successfully support automation.

3.    Evaluate Available Technologies

Technology is the enabler of service automation. Identify the technologies that can provide the capabilities necessary to deliver a satisfying customer experience.

4.    Focus on Content

Service automation is about understanding what customers need and providing them with an effective solution. Service automation relies on the technologies that facilitate the service delivery processes as well as the underlying knowledge and expertise that customers seek. Content development is a critical factor in service automation success.

5.    Define and Measure Success

Determine how successful automation will be measured.  Are you seeking cost efficiencies, revenue growth, service level performance or a target customer satisfaction rate?  Be clear about your desired outcomes with careful attention to optimizing the right balance between multiple performance objectives.

6.    Treat this as a Journey

Service automation and the creation of self-service offerings is an ongoing effort to identify ways to provide customers with the resources they need quickly and efficiently. An ongoing commitment to analyze performance and allocate resources is essential to maximizing the benefits of automating the service experience.

7.    Don’t Over Automate

Automate service transactions and processes but do not try to use automation as a surrogate for sustaining a customer relationship.  Sometimes direct personal interaction is essential.

Featured Report: Automating Service Delivery

Automation of Technical Support or Customer Success functions may yield great returns, yet some service activities can be difficult to replicate with systems. Automate what you can, but don’t over automate. This topic is explored in further detail in the 26 page report on Automating Service Delivery.

This Report is available to ASP Members. Not an ASP Member?  Join Today

Get Your Copy Now

Stay up to date with the latest support industry news and research

Related Posts

Time to Resolve

Time to Resolution (TTR) is a metric to measure the elapsed time it takes for Support to resolve a case. This article introduces the definition and inputs required to measure TTR.

Do you have ideas for using AI?

According to Svetlana Sicular of Gartner the reason why AI initiatives are rolling out so slowly, is the lack of ideas. Françoise Tourniaire of FTWorks offers insights and ideas for applying AI to Support.

How to Define and Measure Deflection

Using an accurate measure of deflection is imperative. If not measured correctly it is easy to overstate the impact of self-help and service automation on assisted support demand. The average rate of case deflection within the technology industry is 23%. For some companies deflecting 23% of the assisted support demand is extraordinary, while for other companies there is considerable room for improvement.