Why generative AI projects fail
Briefly

Why generative AI projects fail
"It says that agentic AI can drive business process reinvention by automating processes and empowering systems to act independently with minimal human intervention. Autonomous agents can reason, adapt, learn, and make decisions on complex tasks, executing end-to-end workflows."
"Handling routine tasks, analyzing large datasets for insights, and making preliminary decisions are all within the capabilities of AI agents."
"Smart Answers cautions that achieving true enterprise reinvention with agentic AI requires structural changes, strong leadership, and a robust data foundation to support the collaboration of autonomous AI agents in managing complex workflows. And don't sleep in regulations."
Agentic AI can drive business process reinvention by automating processes and enabling systems to act independently with minimal human intervention. Autonomous agents can reason, adapt, learn, and make decisions on complex tasks while executing end-to-end workflows. AI agents can handle routine tasks, analyze large datasets for insights, and make preliminary decisions. Enterprise reinvention with agentic AI requires structural changes, strong leadership, and a robust data foundation to enable collaboration among autonomous agents. Regulatory attention and compliance are necessary to manage risks and ensure safe, responsible deployment.
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