Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production) episode artwork

EPISODE · Sep 2, 2025 · 51 MIN

Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production)

from High Signal: Data Science | Career | AI · host Delphina

Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork. Atlassian employees have already built thousands of agents across product, marketing, engineering, and HR teams, while customers like HarperCollins are cutting manual work by 4x as industries from publishing to finance rethink their workflows. We dig into how Atlassian’s culture enables bottom-up experimentation, why grounding and reliability are critical for adoption, and how non-technical teams are often the ones creating the most useful agents. The conversation also looks ahead to the frontiers of multiplayer agent collaboration, proactive and ambient workflows, and the governance and compliance challenges enterprises will face as agents move from tools to teammates. LINKS Anu on LinkedIn Building effective agents by Erik Schluntz and Barry Zhang at Anthropic How we built our multi-agent research system by Anthropic Watch the podcast episode on YouTube Delphina's Newsletter

Episode metadata supplied by the publisher feed · Published Sep 2, 2025

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Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production)

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