Concepts for Production-Ready AI Agents

In this webinar, we break down the critical engineering concepts: Vendor-agnostic design, Human-in-the-Loop, API flexiblity, Observability and Cost Managment.

Outline of content:

• Agentic AI 101: How LLMs, tools, memory, and the ReAct loop combine to form a true AI agent (not just a chatbot)
• AI Hallucination: Why LLMs generate rather than know — and how well-designed agents find grounded answers instead of fabricating them
  Vendor-Independent
• Design & API Flexibility:  How to architect your agent so you can swap AI providers with a single argument, eliminating costly lock-in
• Human-in-the-Loop (HITL): Why autonomous agents without checkpoints are a liability, and how to build approval workflows that keep humans in control of high-stakes decisions
• Observability & Cost Management: How to cap token usage, monitor agent behaviour, and control costs as your scratchpad grows across iterations

The session included a live code walkthrough and a real-world chemical manufacturing use case, demonstrating how a Supply Chain AI Assistant monitors supplier lead times, surfaces delivery risk in real time, and routes decisions through internal and external approval workflows.

Additional use cases covered: product research, commercial real estate document processing, and manufacturing parts intelligence.