Agentic process automation: The complete guide
Blog post from Box
Agentic process automation is an advanced AI-driven approach that allows systems to autonomously manage complex business workflows by understanding context, reasoning over prior steps, and executing tasks without relying on fixed rules or manual handoffs. This method enhances business efficiency by enabling faster, more consistent decision-making and reducing repetitive tasks, thus allowing teams to focus on strategic work. By interpreting documents and identifying next steps autonomously, agentic AI systems support seamless process progression and better exception handling, with Gartner predicting that by 2028, autonomous decisions will constitute at least 15% of daily work decisions. Companies can choose suitable agentic tools by considering capabilities such as permission-aware content access, native document understanding, and strong governance guardrails, with Box providing a platform for secure, end-to-end agentic automation. Unlike traditional or robotic process automation, which relies on predefined rules, agentic AI uses reasoning and real-time information to adapt to variable inputs and changing conditions, making it ideal for dynamic, decision-heavy workflows.
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