How Zip Uses LangSmith and LangGraph to Ship New Features Faster
Zip reduced AI feature development from weeks to days using LangGraph and LangSmith
“if you spend time developing many components yourself, you are falling behind because you are not keeping up with these rapid changes”
Zip, a procurement platform, adopted LangGraph and LangSmith to accelerate AI feature development, cutting new feature cycles from weeks to days while gaining automatic tracing without additional code. The case study highlights how purpose-built AI orchestration frameworks deliver compounding value as the tools themselves evolve rapidly. This is a vendor case study with moderate signal for teams evaluating LLM observability and agent orchestration tooling.