Turning R&D Support into Scalable AI Agents: A Blueprint for Operable Knowledge
This article details how a fragmented, experience‑driven R&D support workflow was transformed into a sustainable, AI‑powered agent system by abstracting frequent queries into business Q&A and diagnostic capabilities, designing a four‑layer architecture, iterating prompt‑based implementations, and establishing a quality‑scored feedback loop for continuous improvement.
