Executive Analysis Artificial intelligence has entered a new phase of enterprise adoption. For much of the last decade, organizations experimented with AI as an analytical capability. Machine learning models predicted customer behavior, optimized supply chains, detected fraud, and automated repetitive tasks. These systems remained largely assistive they generated insights, while humans retained responsibility for making decisions and executing actions. That paradigm is rapidly changing. The emergence of large language models, reasoning systems, and autonomous AI agents has introduced software capable of interpreting complex objectives, planning multi-step workflows, inter…
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