Re-building work for the AI age - how HiBob CEO Ronni Zehavi has greeted the future of HR

2026-07-10 · Source: AI adoption – diginomica · Field: Business & Management — Human Resources & Workforce Development, Corporate Strategy & Leadership, Operations & Process Management · Depth: Intermediate, short

Summary

HiBob CEO Ronni Zehavi advocates for treating AI transformation as a "people problem first, technology problem second," detailing HiBob's internal strategy. In 2024, Zehavi initiated organizational changes, including the CIO reporting directly to him, and launched a "Leading with AI" strategy requiring leaders to integrate AI into workflows. HiBob developed a 3-layer model for enterprise AI adoption, focusing on people (fostering curiosity), process (structured project lifecycle), and technology (secure infrastructure, AI agents like AI Coach and AI Builder). This approach generated over 250 employee-driven AI initiatives, with approximately 10% operationalized, notably a "negotiator agent" that reduced renewal call preparation from two hours to minutes. By 2026, the company shifted focus to measuring AI impact and managing costs, optimizing for cheaper deterministic workflows over expensive LLM calls. Zehavi highlights HR leaders' critical role in organizational redesign for human-AI collaboration.

Key takeaway

For HR Professionals leading AI transformation, recognize that organizational redesign is paramount, not just technology deployment. Your expertise in skills and job architectures makes you the ideal facilitator for human-AI collaboration. Prioritize fostering curiosity and structured processes, tolerating early failures to achieve significant operational gains. This proactive approach ensures your organization reaps tangible benefits and avoids being left behind.

Key insights

Successful AI transformation prioritizes people and organizational redesign over technology alone.

Principles

• Treat AI adoption as a people problem first.
• HR leaders are critical for AI-driven organizational redesign.
• Encourage experimentation; tolerate failures to find successes.

Method

Implement a 3-layer model (people, process, technology) for enterprise AI adoption, moving from passive copilot to active work partner.

In practice

• Align CIO reporting structure to emphasize AI.
• Design a "Leading with AI" leadership strategy.
• Develop AI agents for specific workflow automation.

Topics

• AI Transformation
• HR Leadership
• Organizational Design
• AI Adoption Strategy
• AI Agents
• Change Management

Best for: CTO, VP of Engineering/Data, Executive, HR Professional, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI adoption – diginomica.