Building a Unified Intent Recognition Engine

Intent recognition in enterprise AI often occurs in isolated silos, leading to redundant work and slow innovation across different teams and products. A proposed solution is the Unified Intent Recognition Engine (UIRE), a modular framework designed for reuse that standardizes core components. This system uses a configurable pipeline of text preprocessing, embedding, vector search, and similarity scoring, while allowing teams to plug in project-specific labels and business logic. Adopting this modular architecture speeds up prototyping, reduces maintenance overhead, and allows teams to focus on improving accuracy rather than rebuilding infrastructure.