Glossary

Workflow

A multi-step task an agent follows, with branches, actions and approvals.

A workflow is a multi-step task an agent follows, structured as a sequence of actions, decisions, and approvals that may branch based on customer input or business logic. In the context of AI-powered customer experience, a workflow defines how an agent moves from the initial customer request through each required step, ensuring the right information is gathered, the correct actions are taken, and any necessary human approvals or escalations are handled along the way.

Why workflow matters for CX

Workflows are foundational to delivering consistent, reliable outcomes in customer interactions. By encoding procedures as workflows, Feather enables agents to resolve complex requests—such as processing returns, updating account details, or handling eligibility checks—without relying on static scripts or simple FAQ responses. This structured approach improves resolution rates and reduces the need for manual intervention, directly impacting metrics like containment and time to resolution.

In ecommerce, workflows allow agents to handle returns and exchanges by guiding customers through eligibility checks, label generation, and refund approvals, all while capturing required documentation and escalating exceptions only when needed. For HR teams, workflows automate leave requests by collecting necessary details, verifying policy compliance, and routing approvals to the right managers, reducing back-and-forth and ensuring policy adherence.

For the customer, workflows mean faster, more predictable service. Instead of waiting for a human to interpret their request or navigate unclear processes, customers experience clear next steps and timely resolutions. For the operations team, workflows provide transparency and control, making it easier to audit decisions, update procedures, and ensure compliance with internal policies or external regulations.

Challenges and considerations

  • Overly rigid design: If workflows are too prescriptive, they may fail to accommodate real-world variations in customer requests, leading to unnecessary escalations or customer frustration.
  • Maintenance complexity: As business rules or policies change, keeping workflows up to date can become challenging, especially if they are not modular or well-documented.
  • Integration gaps: Effective workflows often depend on reliable connections to external systems (such as CRMs or order management platforms). Gaps or failures in these integrations can disrupt the workflow and impact resolution rates.

A well-designed workflow is essential for agentic CX, serving as the backbone for automated, high-quality customer interactions. By capturing business logic in a structured, executable form, workflows enable AI agents to deliver outcomes that are both efficient and compliant, supporting the broader shift from reactive support to proactive, resolution-focused customer experience.

Ready to stop experimenting and start deploying?

Learn how teams across every industry are deploying AI agents in production and seeing results from day one.

Ready to stop experimenting and start deploying?

Learn how teams across every industry are deploying AI agents in production and seeing results from day one.

Ready to stop experimenting and start deploying?

Learn how teams across every industry are deploying AI agents in production and seeing results from day one.