Hybrid AI pipeline combining vector retrieval, deterministic business logic, and LLM generation for technician allocation and cost calculation. User requests flow through a preprocessing layer into vector retrieval, then deterministic engines compute technician assignments and costs before context injection feeds an LLM generation layer. Validation, governance, and confidence scoring layers ensure output quality before presentation to AMS integration with human review override. This architecture demonstrates best practices for blending rule-based systems with generative AI to maintain control over critical business logic while leveraging LLMs for natural language output. Fork this diagram on Diagrams.so to customize layers, add monitoring components, or adapt the pipeline for your domain-specific hybrid AI workflow.