The Real Problem Isn’t AI Adoption, It’s the Enterprise Stack Behind It

This article argues that AI adoption stalls not because of models or prompts but because legacy, fragmented enterprise stacks (SaaS sprawl, API/workflow silos, inconsistent data and weak observability) cannot support autonomous, real-time AI-driven workflows; it outlines a layered AI-native stack (AI, agent, platform, workflow, data, infrastructure), a six-step transformation roadmap, practical use cases (ticket triage, approvals, reporting, infrastructure orchestration), and positions ISHIR as a partner to help enterprises modernize for scalable AI operations.