Support has been relentless in the pursuit of continuous improvement, yet the function of Support has remained fundamentally unchanged for decades. AI is a critical catalyst that will help enable an inevitable Support transformation. This article introduces 6 ways to apply AI to technical support.
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.
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.
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.
This article introduces seven critical steps for successful service delivery automation and examines the intricacies and challenges associated with automating service processes.
Machine Learning (ML) can help support organizations shift the paradigm from reactive to proactive support.
Return to List of Recent Blog Posts ASP’s conference in March, hosted by ServiceNow in San Diego, was all about Artificial Intelligence (AI) in support. This, plus many conversations that I have had in the last year with support leaders has got me thinking about where support is going. This is, of