AI in the Enterprise: Real World Use Cases & Reskilling

The honeymoon phase of AI is over. Elias Khnaser discusses with Pankaj Kumar, Executive Partner at IBM Consulting, the practical realities of deploying Agentic AI in the enterprise—beyond simple chatbots.

Recorded live from AWS re:Invent 2025, this episode answers the biggest question facing executives: How do we do AI?

We dive into a real-world case study of a major gas utility company (powering Las Vegas) that is completely reimagining its workflow to address one of its biggest problems: high-bill customer calls. Discover how the solution moves far beyond automating the contact center by using a multi-pronged approach that analyzes customer usage, infrastructure data, and weather patterns.

Key Takeaways:
► Why the "boring work"—data governance, cloud architecture, and security—is the mandatory foundation for successful enterprise AI deployment.
► The strategic, phased approach: How the utility customer first executed a full cloud migration (DC exec to AWS) and SAP RISE before bolting on Agentic AI.
► The technology stack: How they integrated AWS Bedrock, LangChain, and LangGraph to create a comprehensive, agile solution.
► The Job Question: An honest conversation about the impact of Agentic AI on jobs. Is it mass firing, or a necessary focus on workforce reskilling and filling hard-to-fill contact center roles?

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