From Multi Agent Systems to Institutional Learning in the Enterprise - with Papi Menon of Outshift by Cisco

From Multi Agent Systems to Institutional Learning in the Enterprise - with Papi Menon of Outshift by Cisco

Author: Daniel Faggella March 19, 2026 Duration: 31:25
A growing number of enterprises are discovering that early agent wins don't translate into scale because agents can connect but cannot yet share context or improve as a coordinated system. In this episode, Papi Menon, Vice President of Product Management and Chief Product Officer at Outshift by Cisco, joins Emerj's Matthew DeMello to unpack why the missing cognitive layer in multi‑agent environments limits progress and what it will take for agents to operate as a collective rather than isolated tools. He highlights how leaders can make meaningful headway by choosing low‑risk, high‑impact starting points and building on open, interoperable foundations that support future evolution. This episode is sponsored by Outshift by Cisco. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner
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Hosted by Daniel Faggella, The AI in Business Podcast cuts through the technical jargon to focus on what matters for leadership. This is a conversation for executives and decision-makers who know artificial intelligence is a strategic imperative but need clarity on how to actually integrate it. The focus is squarely on identifying real-world opportunities, ensuring AI projects align with broader business goals, and ultimately demonstrating a tangible return on investment. Rather than theory, each episode delivers grounded insights through interviews conducted by Emerj's research team with top AI practitioners. Their guests come directly from the trenches of major Fortune 2000 companies and pioneering unicorn startups, sharing firsthand accounts of what works. You'll hear specific use-cases, emerging trends, and the often-overlooked best practices that separate successful adoption from costly missteps. This podcast provides a direct line to the actionable knowledge needed to make informed, confident decisions about where and how to apply AI in your organization. It’s an ongoing resource for any leader looking to move beyond the hype and translate capability into concrete business advantage.
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