Agent Sense | Agentic Workflows & Operational AI

Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM

You are listening to Agent Sense. Where we keep AI simple, practical, and grounded.” I am Monika Aggarwal, AI Technical Practitioner. I specialize in Operational Al and building agentic workflows grounded in clear rules, good 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.

Episodes

  1. Why IT Service Agents Fail in Production, A Data Readiness Problem

    4 DAYS AGO

    Why IT Service Agents Fail in Production, A Data Readiness Problem

    Theme: Foundations & Data Readiness. Why do agents go rogue when the information source is weak? This is episode three: Why IT Service Agents Fail in Production, A Data Readiness Problem. Most enterprise agentic failures are not related to the model. They are data failures. We are using a real IT service ticketing example to show why data readiness matters for agents. I am Monika Aggarwal, AI Technical Practitioner. I build agentic workflows grounded in clear rules, good 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.

    3 min
  2. Rules, Agents, Humans - A Practical Model for Agentic Workflows

    10 JAN

    Rules, Agents, Humans - A Practical Model for Agentic Workflows

    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 agents help, and where humans must stay in control. I am Monika Aggarwal, AI Technical Practitioner. I build agentic workflows grounded in clear rules, good 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.

    3 min
  3. Brains and Guardrails: What Makes an AI Agent Enterprise-Ready?

    16/12/2025

    Brains and Guardrails: What Makes an AI Agent Enterprise-Ready?

    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? That is the gap between experimentation and production.

    2 min
  • 3 Episodes

About

You are listening to Agent Sense. Where we keep AI simple, practical, and grounded.” I am Monika Aggarwal, AI Technical Practitioner. I specialize in Operational Al and building agentic workflows grounded in clear rules, good 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.

Information

  • Creator
    Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM
  • Years Active
    2025 - 2026
  • Episodes
    3
  • Rating
    Clean
  • Copyright
    © Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM
  • Show Website
    Agent Sense | Agentic Workflows & Operational AI