Softchoice’s executive summary, Process Automation in the Era of AI, explores the evolution from rule-based automation to AI-driven workflows that boost efficiency, reduce errors, and enhance adaptability. It highlights the use of low-code tools, machine learning, and large language models to create intelligent, self-correcting systems. The paper details Microsoft Azure solutions like Logic Apps, Machine Learning, OpenAI Services, and AI Foundry for implementing such automations. It introduces agentic automation, where AI dynamically generates and executes workflows, and emphasizes governance through human-in-the-loop and copilot mechanisms to maintain oversight, trust, and alignment with business goals.

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