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Agent Sense | Agentic Workflows & Operational AI

You are listening to Agent Sense. Where we keep AI simple, practical, and grounded.” I am Monika Aggarwal, AI Technical Practitioner.

Podcast · By Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM · English · Official site

Indexed episodes, last 90 days
5
Latest publication
Sep 20, 2026
Audience
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Earliest in this view
Jul 17, 2026

Latest episodes

  1. Episode · Sep 20, 2026

    𝐀𝐠𝐞𝐧𝐭 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: 𝐁𝐞𝐲𝐨𝐧𝐝 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 (opens the original)

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    𝐀𝐠𝐞𝐧𝐭 𝐒𝐞𝐧𝐬𝐞 𝐢𝐬 𝐚 𝐬𝐡𝐨𝐫𝐭 𝐩𝐨𝐝𝐜𝐚𝐬𝐭 𝐨𝐧 𝐦𝐚𝐤𝐢𝐧𝐠 𝐀𝐈 𝐬𝐢𝐦𝐩𝐥𝐞, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥, 𝐚𝐧𝐝 𝐠𝐫𝐨𝐮𝐧𝐝𝐞𝐝 An AI agent can be 95% accurate and still fail thebusiness. It can give the right answer and still take too long, use the wrong tool, cost too much, or fail to complete the task. Frank Chávez and I talk with Jay Migliaccio, TechnicalProduct Manager for IBM watsonx Orchestrate, about how enterprises shouldmeasure and improve agent performance. Jay Migliaccio has spent his career in product and salesroles across early-stag

  2. Episode · Aug 23, 2026

    Agent Memory is More than RAG (opens the original)

    Episode notes · Positive tone

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    Season 2, Episode 1 - Agent Memory Is More Than RAG AI agents can access huge amounts of enterprise data, yet they often forget the context that matters. In this episode of Agent Sense, Monika Aggarwal and Frank Chavez talk with Ran Aroussi, founder and lead architect of MUXI, about what it takes to build useful agent memory. We discuss why storing data and using RAG does not create memory, what agents should remember, how memory can be distilled and updated over time, and why enterprise memory

  3. Episode · Aug 12, 2026

    The Ambient Agent Pattern: AI That Works While You Sleep (opens the original)

    Episode notes · Neutral tone

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    Most AI agents wait for a person to open a chat and give them a prompt. Ambient agents work differently. They listen for events across enterprise systems and start working when something changes. In this episode of Agent Sense, Monika Aggarwal and Frank Chavez discuss what makes an agent ambient and how the architecture changes when AI works continuously in the background. Using an SRE Ambient Agent as a mature example, they discuss how an agent can monitor operational signals, investigate incid

  4. Episode · Aug 2, 2026

    Episode 9: Beyond Meeting Summaries: From Conversation to Action (opens the original)

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    AI can summarize a meeting. Enterprise work starts after the summary. In this episode, Monika Aggarwal speaks with Artem Koren, co-founder and Chief Product Officer of Sembly AI, about how meeting context can move beyond notes and trigger real work. They discuss how AI can support follow-ups, workflow updates, CRM actions, and executive reporting across teams, countries, languages, and meeting platforms. Artem also explains why humans must steer agent execution and why enterprises should start w

  5. Episode · Jul 17, 2026

    𝑮𝒐𝒗𝒆𝒓𝒏𝒆𝒅 𝑪𝒂𝒕𝒂𝒍𝒐𝒈 𝒐𝒇 𝑨𝒈𝒆𝒏𝒕𝒊𝒄 𝑨𝑰 𝑨𝒔𝒔𝒆𝒕𝒔 (opens the original)

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    Agent Sense — Episode 8: Governed Catalog of AI Assets Enterprise AI agents does not fail from lack of ideas. They fail from agent sprawl: duplicate builds, unclear ownership, no way to know what is safe to reuse. Jyotsna Narayanan, Principal Product Manager for watsonx Orchestrate at IBM, joins host Monika Aggarwal to break down what a governed catalog of AI agents, tools, and MCP servers needs to include, how to evaluate reuse readiness using references like OWASP Top 10 and CoSAI, and where t

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