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.

الحلقات

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

    قبل ٤ أيام

    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.

    ٣ من الدقائق
  2. Rules, Agents, Humans - A Practical Model for Agentic Workflows

    ١٠ يناير

    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.

    ٣ من الدقائق
  3. Brains and Guardrails: What Makes an AI Agent Enterprise-Ready?

    ١٦‏/١٢‏/٢٠٢٥

    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.

    ٢ من الدقائق
  • ٣ حلقة

حول

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.

المعلومات

  • صناع العمل
    Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM
  • سنوات النشاط
    ٢٠٢٥ - ٢٠٢٦
  • الحلقات
    ٣
  • التقييم
    ملائم
  • حقوق النشر
    © Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM
  • موقع البرنامج على الويب
    Agent Sense | Agentic Workflows & Operational AI