Pharmacogenomic risk prediction workflow processes patient VCF files through a multi-stage AI pipeline to generate drug-gene interaction insights. The Web App UI receives genomic data, routes it to the VCF Parser, then feeds parsed variants into the AI Risk Engine which orchestrates the LLM Module for natural language explanations and the CPIC Module for clinical guideline matching. Results flow back through the Results Dashboard to the user, enabling precision medicine decisions based on genetic markers. This sequence diagram maps the five-phase flow—Input, Parsing, Risk Prediction, Explanation, Guideline—essential for developers integrating pharmacogenomics into EHR systems or clinical trial platforms. Fork this diagram on Diagrams.so to customize component labels, add authentication layers, or export as SVG for technical documentation.