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Explores how AI-driven workflow automation streamlines operations by combining RPA, NLP, and computer vision to eliminate manual tasks, reduce errors, and accelerate cycle times. Covers architecture, data readiness, model selection, orchestration, and governance; highlights use cases across support, finance, HR, and IT; shares rollout best practices, ROI metrics, and risk/ethics considerations.