AI Workflow Architecture
Put AI inside a reliable workflow, not beside it as another chat window.
I design AI systems around real operational tasks: research, classification, enrichment, extraction, summarization, knowledge retrieval, drafting, decision support, and human approval. The model is one component of the architecture.
Context & data
Define what the model needs, where it comes from, permissions, retrieval, and the source of truth.
Evaluation & guardrails
Structured outputs, validation, fallbacks, review queues and clear handling when the model is uncertain or wrong.
Operational integration
Connect AI to APIs, databases, CRM, documents, automation engines, dashboards and the humans responsible for decisions.