Pharmaceutical formulation technology evolves rapidly, with critical innovations often appearing in dispersed publications and patent documents before they become mainstream. An integrated surveillance system is needed to monitor both scientific and intellectual-property sources for early evidence of emerging platforms. Competitive intelligence and R&D planning often rely on manual literature reviews and separate patent searches. This separation can obscure the connection between early scientific reports and the patent activity that signals a technology’s development trajectory. This article proposes an AI literature surveillance system that continuously ingests scientific publications and global patent documents. The system uses semantic search to interpret formulation-specific queries and links publications to related patents to reveal technology evolution over time. The proposed framework includes a dual-stream ingestion pipeline for literature and patents, a semantic search engine, a patent-literature linkage module, a technology-trend detection engine, and an analyst dashboard. These components are designed to support continuous monitoring rather than one-time retrospective review. The system would help formulation scientists detect nascent technologies such as new lipid nanoparticle compositions, printable excipient systems, continuous-manufacturing approaches, or long-acting delivery platforms. By linking technical evidence to intellectual-property activity, the system could support earlier assessment of maturity, ownership, and competitive relevance. AI-driven surveillance of literature and patents could shift formulation innovation from reactive awareness to proactive strategic intelligence. Such systems should be evaluated prospectively in real pharmaceutical innovation intelligence workflows.