#15 - The Crucial Balance Between AI Agent Autonomy & Control - Adam Seligman (CTO Workato)

#15 - The Crucial Balance Between AI Agent Autonomy & Control - Adam Seligman (CTO Workato)

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Adam Seligman, CTO & GM of the AI Lab at Workato with
previous leadership roles at Microsoft, Google, AWS, Salesforce,
Mozilla, and Heroku joins me on the episode #15 of bynd code
podcast.AI agents are getting increasingly capable. But moving
from impressive demos to real business impact requires much more
than a powerful model.In this conversation, Adam shares what he's
seeing across enterprises today: why many AI initiatives get
stuck in the pilot phase, what organizations need to safely
connect agents to business-critical systems, and how to balance
agent autonomy with the governance and control enterprises
demand.One of the most interesting takeaways: the future of
enterprise AI isn't just about smarter agents — it's about the
infrastructure, orchestration, and security layers that allow
them to operate safely at scale.In this episode, we explore:️ Why
many AI projects struggle to move beyond experimentation️
Enterprise MCP and the emerging AI control plane️ Security,
governance, and observability for agentic systems️ Permission
escalation and safe access to enterprise data️ Digital workers
and how humans and AI agents may collaborate in the futureA
practical and honest conversation about the balance between agent
autonomy, governance, and what it takes to make AI
production-ready.





Website: https://byndcode.com
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