Natural Language Processing: Define the Intent to Detect

An NLP feature needs a specific job. “Understand customers” is too broad; “identify whether a support request is about a late delivery” is a testable intent.

Map the Intent and Response

Collect examples of the language users actually use, including unclear and mixed requests. Define what the product does after it detects the intent, when it asks a follow-up question, and when it sends the conversation to a person. This is central to validating an AI idea.

Test Failure Cases First

Include slang, incomplete messages, multiple requests, and requests outside scope. A safe MVP should say when it is unsure rather than guessing. Use a limited AI proof of concept to review outcomes with the people who manage exceptions.

Build a Narrow First Experience

Begin with one channel and a small set of intents. Measure correct routing, recovery, and whether users reach a useful outcome. Add coverage only after the first loop is dependable.