Productionizing AI Agents: Why Fresh, Prebuilt Context Beats Runtime Data Assembly on Correctness, Cost and Latency

AI agents transitioning from demos to production require high-quality, fresh context to make accurate decisions in complex operational scenarios, such as banking and customer support. DeltaStream offers a solution by providing a real-time context platform that processes raw operational events, aggregates data, applies policy, and detects patterns to deliver pre-computed, stateful context to AI agents. This approach improves the correctness of agents' responses, reduces tool calls and token usage, and addresses the limitations of runtime context assembly, which can fail due to the need for stateful joins, rolling-window aggregations, and policy evaluations. DeltaStream's prebuilt context layer ensures AI agents have the necessary information to answer questions accurately and efficiently, making it essential for production-ready AI systems in dynamic environments.