This e-guide examines how organisations are using employee-centric Artificial Intelligence to guarantee that workplace training is learned and retained by employees to develop an effective and proactive error reduction strategy.
Learning outcomes:
- How improving employee in-role competency using AI is supporting organisations to reduce employee errors by 30% on average.
- How to mitigate the risks associated with three types of human error: momentary lapses of concentration, mistakes and rule-breaking.
- How AI is used to mitigate specific errors having the greatest impact on KPIs including First Contact Resolution (FCR) and Customer Satisfaction (CSAT).
