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Episode Highlights
Featuring:
🎙️ Assaf Elovic, Head of AI at Monday.com
🎙️ Eran Bielski, General Partner at Entrée Capital
💡 Incorporating AI at scale
How AI in monday.com shifted from being centralized R&D projects to an organization-wide system that empowers every product team, developer, and internal user.
⚠️ The real AI risk is inside the enterprise
Despite fears about public-facing LLMs, Assaf reveals the bigger danger: internal data misuse. As context sharing grows, companies risk leaking sensitive information through well-meaning employees and unsanctioned tools.
🔄 Why trust beats accuracy in AI adoption
The fear of being wrong: Enterprise AI wins not by being 99% accurate, but by reducing the fear of making mistakes with the AI’s output.
🧩 Start vertical, scale horizontal
For early-stage founders building AI-first companies, Assaf suggests the following playbook: pick a niche workflow, master it with AI, and only then expand. Domain expertise is the edge that startups can still wield against incumbents.
🚫 Skip the infra race and go where the giants can’t
Challenging OpenAI, Google, or AWS on infra? Think again. The real opportunity is in the application layer, especially where legacy tools don’t fit and domain-specific workflows are waiting to be reimagined.
🛠️ Founder insight: build for adoption, not just innovation
The winners in enterprise AI won’t be those with the most powerful models, but those who earn user trust by fitting into real workflows and removing fear from the equation.
