Move from Scaling Models to Orchestrating Work
Enterprise AI has reached a turning point. Organizations are no longer asking whether AI can create value. They now want clear, measurable outcomes at scale. To get there, they need to connect fragmented processes, move beyond isolated AI use cases, and improve efficiency across the business.
Agentic Workflows help make this possible. They bring together AI agents that can reason, collaborate, and complete work with limited human oversight. These workflows can automate complex tasks, respond to changing business needs, and speed up decisions while staying within enterprise governance and control.
In this whitepaper, Persistent explains how Agentic Workflows help enterprises move from AI experimentation to AI that delivers business results. It outlines the capabilities, architecture, and governance needed to scale Agentic AI, and shows how Persistent transformed a complex Investor Relations process into measurable value.
Key Takeaways
- Move Beyond AI Assistance: Learn how Agentic AI can complete full workflows, not just answer questions.
- Coordinate Multiple Agents: See how specialized AI agents work together, correct course, and manage complex business processes.
- Scale Agentic AI Across the Enterprise: Understand the architecture, governance, and human oversight needed for successful enterprise adoption.
- Deliver Service as Software: See how Persistent redesigned a complex Investor Relations process, with agents handling 60-70% of straight-through work.
