A repetitive task does not automatically require an intelligent model. If the decision can be expressed through a few stable conditions, a programmed rule may be cheaper, easier to test and more explainable.
Examine the inputs
Structured fields often suit rules. Free-form messages, images and varied descriptions may require interpretation. Routing a request by a city selected in a form does not need a language model; interpreting a location within an unstructured message may benefit from one.
The approaches can be combined. A model proposes extracted information, then explicit rules operate on validated data. This prevents every downstream decision from becoming a probabilistic guess.
Compare maintenance
Rules become unwieldy as exceptions multiply. Models require evaluation, monitoring and updates. Compare implementation, operation and diagnosis costs. Test the simplest alternative capable of meeting the required quality before adding complexity.
Include normal and difficult cases. If both approaches require human intervention, compare its volume and explainability. Technical maturity is not measured by how many tasks use AI. It is demonstrated by selecting the least complex system that reliably supports the decision, while retaining a practical way to investigate errors and change the process.
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