Reducing Human Errors

Improve your profit and customer advocacy

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).


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