Aggregated enterprise architecture wisdom
Rekha Kodali By Rekha Kodali Enterprises are entering a new phase of AI adoption. The market is shifting from single-model, prompt-driven copilots to multi-agent AI systems capable of collaborative reasoning, task decomposition, and autonomous execution. These syst…
By Rekha Kodali The AI landscape is evolving from passive, predictive systems to Agentic AI—systems that don’t just respond but act autonomously with purpose. Unlike traditional AI models that produce output and stop, Agentic AI can: […]
By Rekha Kodali As organizations accelerate the adoption of Large Language Models (LLMs) for enterprise applications, the emphasis is rapidly shifting from experimentation to operationalization — a phase now widely referred to as LLMOps. This phase […..
By Rekha Kodali As large language models transform enterprise operations, organizations face unprecedented challenges in ensuring these powerful systems operate safely, ethically, and in alignment with business objectives. This comprehensive guide addr…
By Rekha Kodali and Vijay Singh This POV explores how agentic AI can transform legacy enterprise systems without complete rebuilding, specifically through intelligent chat overlays and embedded AI assistants. We examine the technical architecture, impl…