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Glossary

Intent Classification

Intent classification na step wey determine wetin inbound request actually dey ask for, mapping unstructured text to defined category of work. Accurate classification route each WorkItem to right workflow, evidence sources, and policy, making am foundation of reliable automation.

Synonym dem: intent detection, request classification, intent recognition, routing classification

Intent classification answer di first question any automation must resolve: which kind work be this? By mapping messy request to defined intent, di system select appropriate extraction fields, evidence sources, and approval policy. Because every later step inherit this decision, classification quality dey measured rigorously with evaluation gates and monitored for drift. When confidence low, well-designed system route ambiguous case to person instead of guessing, keeping accountability intact from di very start of workflow.

Question dem wey people dey ask well-well

Why intent classification important?
E decide di entire downstream path. Misclassified request retrieve wrong evidence and apply wrong policy, so classification accuracy gate di quality of everything wey follow.
How classification accuracy dey measured?
Through evaluation gates over labeled set, tracking precision and recall per intent and watching for confusion between similar categories before workflow go live.