This conversation examines Smarsh's application of artificial intelligence to regulated communications monitoring and compliance. Rohit Khanna of Smarsh, chief customer officer, discusses context layers, compliance-focused small language models and agentic workflows such as AskSmarsh. Khanna explains how Smarsh designs solutions around real customer workflows and regulatory requirements, and they emphasize customer-led innovation driven by product development grounded in customer success experience. Khanna highlights priorities including robust AI governance, explainability, traceability and clear vendor boundaries before moving projects to production. They describe context layers as a method to reduce false positives and compliance-focused models that limit exposure to external data. The conversation also covers Smarsh' S-Combinator innovation engine and a Model Risk Management agent that supports controlled deployment. Khanna notes that Smarsh plans to publish an AI constitution to formalize those governance principles. Gemma Allen of theCUBE hosts and theCUBE Research presents the segment. Allen guides the discussion and they focus on regulatory implications, implementation trade-offs and practical steps for operationalizing compliance monitoring with AI.