The debate over Agentic Workflows vs Traditional Automation Models is being debated for 2025, with the question being asked: Are traditional automation models still the smartest investment, or is it time to shift towards agentic workflows? Agentic workflow is an automation model powered by multiple AI agents that can operate autonomously, coordinate with each other, and make context-aware decisions in real time. However, due to higher upfront costs and multiple governance challenges, these systems are not a guaranteed ROI win for every business. The author suggests that agentic works better financially due to its adaptability, scalability, and decision-making capabilities compared to traditional systems. The ROI profile of agentic vs. traditional automation differs significantly, with agentic workingflows having higher upfront spend (AI training, integration, orchestration tools) but cost per additional process being lower once the framework is in place. The article also discusses the role of data data governance tools and the impact of regulatory regulation on the efficiency of these systems on business operations.
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