AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics 383: From Zero-to-One to a Billion in ARR: Why monday.com Is Rebuilding Its Product Thinking from Scratch, with Daniel Lereya, CPTO at monday.com
Apr 6, 2026
Daniel Lereya, Chief Product and Technology Officer at monday.com who scaled R&D from a handful to nearly 900 engineers, explains why the company had to rethink product thinking for AI. He discusses replacing old instincts, structuring agents inside rigid workflows, modular guardrails and explicit I/O, surprising citizen-builder use cases, and why adoption hinges on habits more than tech.
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Reset To Zero To One For AI
- AI forces companies to rethink assumptions and return to a zero-to-one mindset rather than scale old habits.
- Daniel Lereya paused R&D for an internal "AI month" to align 900 engineers and reset product focus across monday.com.
Wrap AI In Rigid Workflows
- Wrap non-deterministic AI inside rigid workflows and modular agents to preserve control and observability.
- Split monolithic agents into small units with structured input/output so you can detect failures and improve iteratively.
Employees Built 2,000 Apps In Two Weeks
- Internal rollout of monday Vibe let non-engineers build apps and 2,000 of 3,000 employees created apps within two weeks.
- Examples included an OKR reporter, HR onboarding flow, and a renewal planner using AI.