May 20, 2026
In this episode of the M365 FM Podcast, host Mirko Peters speaks with Microsoft AI MVP and CTO Karthikeyan VK about the biggest problem in today’s AI landscape: organizations are relying too heavily on Large Language Models (LLMs) while ignoring the engineering foundations needed for reliable enterprise AI systems.Karthikeyan explains that many companies try to make AI agents handle everything directly through prompts and LLMs, instead of combining them with deterministic engineering practices such as orchestration, validation, governance, retries, observability, and state management. He argues that LLMs should act as reasoning engines, while structured workflows and business logic remain controlled through traditional engineering systems.The discussion highlights the difference between probabilistic AI systems and deterministic enterprise processes like finance, compliance, ERP integrations, and security workflows. According to Karthikeyan, enterprise trust breaks down when A…
