limitedDistribution · Industry Research
AI Process Automation 2026: Benefits & Use Cases
AI process automation leverages AI to handle unstructured data, making operations faster and more efficient with agentic AI.
Stargo's Stardox platform accelerates supply chain operations by transforming unstructured data into actionable insights, aligning with agentic AI advancements.
Executive Summary
AI has become crucial for organizations looking to automate their key operations, making them faster, more accurate, and cost-effective. According to a report by Accenture, 69% of executives recognize an urgent need to move beyond simple automation and adopt AI-driven transformations at the core of their business processes. The article explains how AI process automation works, leveraging machine learning, natural language processing, and process automation to handle unstructured data, identify patterns, and make smart, data-driven decisions. With the introduction of agentic AI, process automation is now faster than ever before, allowing businesses to streamline workflows and improve efficiency.
Source: @FlowForma
Authors: Gerard Newman
Original Article: https://www.flowforma.com/blog/ai-process-automation
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