Rules-based automation

What it is

Rules-based automation carries out specified actions when defined conditions are met. For example: when every required onboarding field is present, route the case to its assigned reviewer. The path comes from the rules you designed.

Why it can add value

It can reduce repeated handling and make routine routing consistent. Its value depends on the task being useful, the inputs being dependable and exceptions having somewhere to go. Automating an unnecessary request can make a poor experience happen faster.

When it fits

• The conditions can be stated clearly and tested.
• The expected inputs and actions are sufficiently predictable.
• Someone owns rule changes and cases the rules cannot resolve.

Where the fit changes

Varied documents, ambiguous requests or a changing sequence of actions can expose limits. Consider a combination: a model interprets the document, a person reviews consequential uncertainty, and explicit rules route the accepted result. A fixed workflow can contain AI; its sequence remains designed in advance. Anthropic: workflows and agents explains this architectural distinction.

The operating-model connection

Agree what makes a case complete, who owns approval and who can change a rule. Keep an exception route visible. Measure the customer journey as well as the automated task. The onboarding exercise shows why these decisions matter.

A useful next question

Which conditions are actually agreed, and what should happen when a case falls outside them? Ask the people receiving the work to review the answer.