Dev Team Builds AI Sales Agent That Learns From Past Deal Outcomes

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A development team has built an Evidence-Driven Deal Intelligence Agent designed to help sales teams leverage historical deal experiences when handling new opportunities. The system combines PostgreSQL for structured business data, a persistent AI memory layer called Hindsight, and an LLM-based reasoning engine to generate contextual recommendations. Unlike traditional CRMs, which require manual effort to surface relevant past interactions, the agent automatically recalls comparable deals and the outcomes of previous recommendations. The architecture uses a React and TypeScript frontend with a FastAPI backend connecting the database and memory components. The goal is to help salespeople address recurring concerns — such as migration risk — by drawing on evidence from similar past situations rather than starting from scratch each time.

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