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 experimentation▪️ Enterprise MCP and the emerging AI control plane▪️ Security, governance, and observability for agentic systems▪️ Permission escalation and safe access to enterprise data▪️ 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.
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