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

EPISODE · Mar 19, 2026 · 31 MIN

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

from The AI in Business Podcast

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 Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

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

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