1、1THE AIADVANTAGEFOR MENTALHEALTHYour guide to employee care at scale.2CONTENTSIntroductionBreaking down barriers:AI for quality care at scale Barrier 1:Scalability Barrier 2:Accessibility Barrier 3:Quality of careHow to implement AI for mental health Choosing the right partner Employee education and
2、 adoptionSeven takeaways349143The human and economic case couldnt be clearer:supporting employee mental health should be every organizations top priority.In an ideal world,organizations would offer one-on-one support to all employees therapy and coaching can be transformative and are backed by stron
3、g evidence.The reality is that its cost-prohibitive for many organizations to offer this level of care at scale.But recent advancements in AI have the potential to change things.Gone are the days of rudimentary chatbots;a modern,AI-led mental wellbeing coach can offer instant,personalized and eviden
4、ce-based support at a fraction of the cost.Theres a lot of hype around AI,not least in HR tech and healthcare.But AI isnt a mysterious,far-off concept its already transforming the way leading companies approach mental health at work.This guide dials down the noise to give HR and business leaders ins
5、ight into using AI for quality care at scale,and practical guidance on implementing tech that can be game-changing for businesses and life-changing for employees.We need workplace mental health support now more than ever.Research by Deloitte showed that,in 2024,63%of respondents exhibited a sign of
6、burnout,up from 51%in 2021.Lost productivity caused by poor mental health is estimated to cost the global economy a trillion dollars annually.INTRODUCTION4BREAKINGDOWN BARRIERS:AI for quality care at scale5Barrier 1:ScalabilityTheres no getting around it:offering one-on-one mental healthcare to thou
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