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PRACTICAL GUIDE · AI strategy

Deciding between automation rules and language models

Use deterministic rules when the decision is clear and stable. A language model is more useful when interpretation of varied language is genuinely required.

A practical starting point

Work through these checks in order. Use the results to decide what needs to change in your own workflow.

  1. Write the decision logic in plain language.
  2. Check whether reliable structured inputs can support a conventional rule.
  3. Reserve model judgment for ambiguity and validate its output before downstream actions.
ILLUSTRATIVE EXAMPLE

Routing a ticket by a known account ID needs a lookup; interpreting an unclear request may need language understanding.

A mistake to avoid

Do not introduce probabilistic behavior into a process that already has dependable rules.

How to check progress

Compare failure modes and maintenance effort, not only implementation novelty.

Your action checklist

Use this checklist while reviewing your own setup. Checkmarks are temporary and stay in this open page.

Need the wider workflow?

This quick note covers one decision. For a worked example, decision table and a fuller implementation workflow, read Choosing the first AI workflow to pilot.

Further reading

Official background resources for this topic. The workflow above is general guidance, not a guarantee of a particular result.

AI-assisted editorial content. Examples are illustrative, not client case studies. Read our editorial policy or report a correction.