The promise of agentic AI — autonomous systems that make decisions and execute workflows with minimal human oversight — is enormous. But there’s a catch: if business leaders can’t trust these systems, the technology becomes worthless.
In a feature on Geek Insider, Krazimo CEO Akhil Verghese breaks down exactly why trust in enterprise AI is so often lacking, and what companies can do about it. The core problem? A massive gap between flashy AI demos and production-ready agents. As Verghese puts it, many companies are rushing to market with agents that simply aren’t ready for enterprise environments.
The article outlines three pillars that businesses should demand from any AI agent provider: Determinism (breaking complex workflows into individually testable steps rather than relying on unpredictable one-shot LLM calls), rigorous Testing (using techniques like LLM-on-LLM reflection and outcome-oriented unit tests), and Phased Launches (progressing from shadow launches to human-in-the-loop validation before full automation).
Verghese also shares his outlook on the future: while LLMs will continue to improve and hallucinate less, the biggest growth opportunity lies in better agent-building best practices and tools. For any enterprise considering AI adoption, this article is a roadmap for doing it responsibly and effectively.
Originally published on Geek Insider. Krazimo is an enterprise AI solutions provider helping companies leverage generative AI with engineering rigor and reliability.
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