Production revenue copilot with API orchestration, eval gates, and operational observability
Build a production-grade AI revenue operations copilot that ingests CRM, billing, and product telemetry through APIs, stores normalized account state, and generates account summaries, risk flags, and recommended next actions for operators. Define explicit data models for source-sync jobs, account timelines, generated recommendations, operator feedback, and downstream analytics. Require hosted deployment and analytics, but also a dedicated coding-agent workflow for the team evolving prompts, tools, and orchestration logic. Add observability for prompt versions, tool-call traces, latency, and failure hotspots, and include evaluation pipelines that measure recommendation quality, hallucination risk, and regression impact before releases are promoted.
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