Welcome to a new episode of the AI Mind Talks podcast. Ori Simantov is joined by Michal Lewy Harush, CIO of HiBob, and Alon Arbiv, Director of AI at HiBob, to unpack what it really takes to operationalize AI at scale. They walk through HiBob’s end-to-end AI process — from employee-driven ideation and rapid experimentation to leadership decision-making, adoption, and performance — and explain why successful AI transformation depends on clear ownership, fast iteration, and cultural alignment, not just technology.
Key takeaways:
00:00 Introduction and why this conversation reflects HiBob’s real AI journey
02:00 Why AI transformation starts with mindset, not tools
04:30 Process over governance: enabling democratized AI safely
06:40 Defining roles: agent owners, AI leaders, executives, and centralized teams
09:15 Why ideation and fast POCs are the engine of AI innovation
12:00 Speed matters: helping ideas succeed — or fail — quickly
14:30 Education, enablement, and ongoing AI literacy across the company
18:20 The decision point: why managers must own prioritization and impact
21:00 AI must live inside workflows to achieve adoption
23:15 Build strategies: fast-track copilots vs. programmatic agents
27:00 Why business context and prompt ownership matter more than code
31:00 Adoption is not launch — it’s continuous enablement
34:10 Measuring performance beyond raw usage numbers
37:00 Evaluating agent effectiveness before tying to business KPIs
41:30 Why not every AI impact can be measured in dollars
44:30 AI as a work companion, not a replacement
48:40 Rapid-fire insights: common pitfalls, overpromises, and success signals
Resources mentioned:
HiBob website: https://www.hibob.com/
HiBob LinkedIn: https://www.linkedin.com/company/hibob/
OpenAI: https://openai.com/index/hibob/
Salesforce: https://www.salesforce.com/ap/
Michal Lewy Harush LinkedIn: https://www.linkedin.com/in/michal-lewy-harush/
Alon Arbiv: https://www.linkedin.com/in/alonarbiv/
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#PeopleProud #AIInTheWorkplace #AIAdoption
