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Enterprise AI Moves Beyond Chatbots Toward Autonomous Agentic Workflows

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Most enterprise AI projects have stalled at building chat interfaces over databases, which still require humans to interpret results and manually execute tasks in ERP or CRM systems. Agentic AI systems go further by equipping large language models with tools, memory, and the ability to take autonomous actions rather than just generate text. Unlike brittle traditional RPA scripts, agentic workflows can reason through dynamic situations — for example, automatically updating delivery dates in an ERP, checking downstream production schedules, and alerting relevant teams when a supplier reports a shipment delay. Firms like SZG Labs are already architecting such systems on platforms including Odoo, NetSuite, and SAP. Experts caution that building reliable agents is roughly 80 percent conventional software engineering — requiring clean APIs, strict data typing, and robust error handling — and only 20 percent AI.

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Enterprise AI Moves Beyond Chatbots Toward Autonomous Agentic Workflows · ShortSingh