Process-Centric Agent Orchestration

AI agents can take on complex knowledge work that traditional automation cannot. But when they are left to coordinate mission-critical operations end to end, errors in planning, tool selection, and handoffs can compound across the process.

Enterprises need a way to use agentic reasoning without sacrificing reliability, governance, or visibility. That takes more than agent-to-agent coordination. It requires a structured process that determines when agents act, what context and tools they can access, when people step in, and how outcomes are tracked.

This white paper explains how process-centric agent orchestration combines the flexibility of AI agents with deterministic process control. Learn how Appian coordinates agents, people, systems, data, and rules to keep agentic work grounded, governed, observable, and aligned with business outcomes.

You’ll learn:

• The difference between agent orchestration, process orchestration, and process-centric agent orchestration
• How a process-centric architecture addresses the reliability, cost, and auditability risks of agentic work
• How Appian grounds, governs, and connects agents through data fabric, process observability, and open interoperability
• Best practices for assigning work to agents while preserving clear boundaries, human oversight, and process control