Billede af showet Agent Sense | Agentic Workflows & Operational AI

Agent Sense | Agentic Workflows & Operational AI

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

engelsk

Videnskab & teknologi

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Læs mere 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. 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.

Alle episoder

6 episoder

episode MCP Gateway: The Control Layer for Enterprise Agents cover

MCP Gateway: The Control Layer for Enterprise Agents

Episode 6 of Agent Sense continues from Episode 5, where we talked about MCP, A2A, and enterprise integration. In this episode, Monika Aggarwal and Frank Chávez discuss why enterprise agents need governed access to core systems before they can scale in production. MCP helps agents connect to tools and systems. But connection alone is not enough. As agents start working across ServiceNow, Workday, SAP, HR, IT, finance, and customer operations, enterprises need a control layer. That is where the MCP Gateway comes in. We discuss how an MCP Gateway helps manage identity, policy, approvals, audit, and traceability. It gives agents access to approved tools without opening direct, unmanaged paths into core enterprise systems. In about 4 minutes, we cover: 🔹 Why direct agent access to core systems creates risk 🔹 How MCP Gateway supports controlled enterprise access 🔹 Why public MCP servers are useful for testing, but not enough for production 🔹 How approved tools help agents scale across business workflows 🔹 Why traceability matters when agents take action Episode 5 was about connection. Episode 6 is about controlled access. Disclaimer: The views shared are based on our personal experience and do not represent the views of IBM. Tags for Spotify search: Agentic AI, Enterprise AI, MCP, MCP Gateway, AI agents, ServiceNow, Workday, SAP, AI governance, agent governance, operational AI, enterprise architecture, AI integration, agentic workflows.

4. maj 2026 - 4 min
episode Autonomous Databases, Where Autonomy Helps and Where It Hurts cover

Autonomous Databases, Where Autonomy Helps and Where It Hurts

Theme: Do autonomous databases fix bad data, or do they mainly improve operational reliability? Why are organizations moving toward autonomous operations? In episode 3, we talked about an IT service agent that created operational noise during an outage. The AI agent acted fast, but the ownership and escalation data were wrong, so the actions were wrong. If the data underneath these systems is fragile, should the data layer become autonomous too? In eposide 4 we are talking about autonomous databases, and what they can and cannot do in incidents like this. 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.

23. feb. 2026 - 4 min
episode Why IT Service Agents Fail in Production, A Data Readiness Problem cover

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.

9. feb. 2026 - 2 min
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