Picture this: You're 21 years old, just started your first job at Israel's Ministry of Finance. They sit you down in a corner office. No one else has access. For the next three years, you'll work on restructuring the entire social security system. If word leaks, careers end.
This is Matan-Paul Shetrit. Today, he leads product design at WRITER, building and scaling agent-based AI for enterprise.
In this episode of Humans of AI, Matan-Paul shares why the technology isn't the product — the transformation is. He reveals the surprising truth about which industries are actually leading the AI revolution (hint: it's not Silicon Valley startups), why managing AI agents requires an entirely new skillset, and what happens when a 1,000-person company suddenly becomes an 11,000-employee organization overnight.
You'll discover:
• Why regulated industries like healthcare and financial services are more ready for AI than you think
• The critical difference between observability and supervision in AI systems
• Why we're all about to become managers — whether we've managed before or not
• How AI is teaching us to be critical thinkers and editors, not just writers
• Why businesses run on exceptions, not happy paths
Matan-Paul warns: "If you take everything AI says as gospel, there's a problem. These machines, by definition, make mistakes." The real challenge isn't building agents — it's scaling them responsibly and managing a fleet of humans and machines working together.
This is a conversation about humility, systems thinking, and understanding that the real bottleneck to AI adoption isn't technology. It's people, processes, and accountability.
🔗 For enterprise leaders: Download The Agentic Compact — A framework for building trust and control in the human-agent enterprise: https://writer.com/blog/agentic-compact/
📖 Read more from Matan-Paul Shetrit:
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Watch the full video interview on the WRITER YouTube channel for bonus content and deeper insights.
Learn more about WRITER at writer.com.
