AI-Human Augmentation Case study
In this case study, Dr. Moria Levy explains how AI–Human Augmentation can improve decision-making without replacing expert knowledge.
Using the National Insurance Institute of Israel as an example, she shows how expert-driven machine learning reduced wasted time, unnecessary doctor participation, missing expertise, and customer frustration.
The result: smarter decisions, higher efficiency, and better service—powered by the synergy between human expertise and AI.
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Chapters
00:00 Introduction – Why AI needs human expertise
00:26 The case: National Insurance Institute of Israel
00:59 The business need – matching doctors to cases
01:30 Why AI was required
02:00 Problems before AI: waste, mismatches, low satisfaction
02:58 Building an AI–human augmentation model
03:27 Expert involvement in training the machine
04:00 New business model: human decision + machine recommendation
04:40 Results: fewer errors, less waste, happier customers
05:20 AI as a bridge to the future
06:00 Closing message – Join the journey