What Is an Agentic Workflow?
An agentic workflow is a sequence of tasks that an AI agent plans, coordinates, and executes on its own to achieve a specific goal. Unlike traditional automation, where each step is hard-coded by a developer, an agentic workflow allows the AI to decide which tools to use, what order to follow, and when to adjust its approach based on real-time results. It is the operational backbone of Agentic CX, enabling AI to move from answering simple questions to handling complex, multi-step processes end to end.
How Do Agentic Workflows Operate in a Contact Center?
An agentic workflow typically follows this pattern:
Planning: The AI agent receives a request, analyzes the customer's intent and context, and maps out the steps required to reach a resolution. This plan can involve multiple systems and data sources.
Tool use: The agent connects to enterprise systems to take real-time actions, such as authenticating a customer, pulling up an account, checking inventory, or processing a transaction.
Execution: The agent works through its plan step by step, adjusting as new information emerges. If a customer adds a second request mid-conversation, the agent updates its plan accordingly.
Human escalation: When the workflow reaches a point that requires human judgment, regulatory approval, or emotional nuance, the agent hands off to a live agent with full context preserved.
Continuous improvement: Each completed workflow generates data that feeds back into the system, helping the AI optimize its planning and execution for similar requests in the future.
