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.
Episodes
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, systems, and runtime environments.
“𝑪𝒉𝒂𝒕 𝒎𝒆𝒂𝒏𝒔 𝒂𝒏 𝒂𝒈𝒆𝒏𝒕 𝒄𝒂𝒏 𝒂𝒏𝒔𝒘𝒆𝒓 𝒚𝒐𝒖𝒓 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏. 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝒖𝒔𝒆 𝒎𝒆𝒂𝒏𝒔 𝒕𝒉𝒆 𝒂𝒈𝒆𝒏𝒕 𝒄𝒂𝒏 𝒕𝒂𝒌𝒆 𝒂𝒄𝒕𝒊𝒐𝒏 𝒂𝒄𝒓𝒐𝒔𝒔 ...
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 op...
Theme: As AI systems evolve from single models into networks of autonomous agents, integration is the primary bottleneck.
Core Integration Challenges:
Fragmented Tool Access
Context Loss Across Agents
Tight Coupling & Low Reusability
Lack of Standardized Communication
Integration needs standards.
MCP standardizes how agents connect to systems.
Agent to agent communication standardizes how they pass work.🔷 MCP connects ...
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 aut...
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 agent...
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...
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.
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