
Episode #2
:
, , 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...


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You are listening to Agent Sense. Where we keep AI simple, practical, and grounded.I am Monika Aggarwal. I specialize in Operational AI and in building agentic workflows grounded in decisions, data, and governance.I am joined by my colleague Frank Chavez. He is a Technical Architect and hands-on builder specializing in multi-agent orchestration and AI integration patterns. I bring the enterprise and operational view. Frank brings the engineering view. We keep it simple and honest. Let’s start.”Disclaimer: The views shared on this podcast are our own and do not represent IBM's viewpoint.
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Signup to Generate a PitchYou are listening to Agent Sense. Where we keep AI simple, practical, and grounded.I am Monika Aggarwal. I specialize in Operational AI and in building agentic workflows grounded in decisions, data, and governance.I am joined by my colleague Frank Chavez. He is a Technical Architect and hands-on builder specializing in multi-agent orchestration and AI integration patterns.
Recent episodes include ":" (20 September 2026, 7 minutes), "Agent Memory is More than RAG" (23 August 2026, 15 minutes), and "The Ambient Agent Pattern: AI That Works While You Sleep" (12 August 2026, 5 minutes).
Agent Sense | Agentic Workflows & Operational AI publishes roughly monthly, with episodes averaging 7 minutes across 13 episodes.
Booking probability for Agent Sense | Agentic Workflows & Operational AI is 29%, and the host is rated Selective on guests. Agent Sense | Agentic Workflows & Operational AI requires a Pod Score of 80 or higher. Agent Sense | Agentic Workflows & Operational AI's contact route on record: verified email.
The strongest fits for Agent Sense | Agentic Workflows & Operational AI are IT Services & Software Development and Business & Management Consulting. Agent Sense | Agentic Workflows & Operational AI has a technology audience.
Agent Sense | Agentic Workflows & Operational AI is a technology podcast with 13 episodes published.
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Episode #2
, , 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...

Episode #1
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...

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 | Agentic Workflows & Operational AI
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...

Episode #8
Agent Sense — Episode 8: Governed Catalog of AI Assets Enterprise AI agents don't fail from lack of ideas. They fail from agent sprawl: duplicate builds, unclear ownership, no way to know what is safe to reuse. Jyotsna...

The episode is about hashtag#9minutes long. In this episode, my co host Frank Chávez and I are joined by Vitalii Duk from Dynamiq to discuss how agents are moving from answering questions to doing work across tools...

<p>The episode is about hashtag#9minutes long. In this episode, my co host Frank Chávez and I are joined by Vitalii Duk from Dynamiq to discuss how agents are moving from answering questions to doing work across tools...

<p><br></p><p>Episode 6 of Agent Sense continues from Episode 5, where we talked about MCP, A2A, and enterprise integration.</p><p>In this episode, Monika Aggarwal and Frank Chávez discuss why enterprise agents need...

<p>Theme: As AI systems evolve from single models into networks of autonomous agents, integration is the primary bottleneck.</p><p>Core Integration Challenges:</p><p>Fragmented Tool Access</p><p>Context Loss Across...

Agent Sense | Agentic Workflows & Operational AI
<p>Theme: Do autonomous databases fix bad data, or do they mainly improve operational reliability? Why are organizations moving toward autonomous operations?</p><p><br></p><p>In episode 3, we talked about an IT service...

Agent Sense | Agentic Workflows & Operational AI
<p>Theme: Foundations & Data Readiness. Why do agents go rogue when the information source is weak?</p><p>This is episode three: Why IT Service Agents Fail in Production, A Data Readiness Problem. Most enterprise...

<p>This episode explores the line between deterministic business logic and autonomous agents in real business operations, using a Commercial and Investment Banking onboarding scenario to show where rules work, where...

<p>Enterprises often stop at building a clever prototype. But when that agent touches real systems, the question changes from Can it run? to Can we trust it?<br />That is the gap between experimentation and...
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