Multi-Sapiens Teams: Managing AI Agents in the Real World with Tatyana Mamut
Keywords
AI agents, Wayfound, multi-sapiens teams, future of work, human-AI collaboration, team structure, trust in AI, workplace culture, AI leadership, anthropology, AI operations
Summary
In this episode, I talk with Tatyana Mamut, co-founder and CEO of Wayfound, about how AI agents are already reshaping teams, operations, and leadership. With a background in anthropology and product leadership, Tatyana brings a unique perspective to managing AI agents in the workplace.
We explore how AI agents interact with each other, how they’re embedded into real company workflows, and why building a “multi-sapiens” workplace — where humans and AI agents work side by side — is essential for the future of work.
Key Takeaways
🔶 Wayfound helps businesses manage AI agents alongside human teams
🔶 AI agents are handling operational tasks like investor updates and customer research
🔶 Agents interact — and sometimes argue — much like human teammates
🔶 Managing AI agents requires trust, oversight, and clear role definitions
🔶 Fear of AI can hold companies back, but adaptability unlocks new opportunities
🔶 AI agents free up humans to focus on relationships, leadership, and creative work
🔶 The future of work is “multi-sapiens” — humans and AI agents collaborating as part of the same team
Sound Bites
“We’re building a multi-sapiens workplace — humans and AI agents side by side.”
“AI agents can argue, correct themselves, and interact — just like humans.”
“We should not enslave AI. That never ends well.”
“The future belongs to those who move forward with adaptability, optimism, and imagination.”
Chapters
00:00 — Intro: AI’s impact on work and leadership01:05 — Managing AI agents: Wayfound’s approach03:00 — Real-world examples of AI agents in operations05:30 — Agent-to-agent interactions and surprising dialogue08:45 — Why Wayfound avoids anthropomorphizing AI10:00 — Building trust between humans and AI agents13:30 — AI agents free humans to focus on relationships and strategy16:00 — Fear, job displacement, and lessons from history19:15 — Cultural evolution and the rise of multi-sapiens teams22:40 — The future of AI agents — and the choices ahead
