This topic examines AI platforms that institutional treasuries and digital-asset teams use to manage tokenized assets, on‑chain settlement rails (e.g., Ripple Treasury and similar tokenized-asset platforms), and the operational, compliance, and liquidity tasks that accompany them. As of 2026-04-03, adoption of tokenization and real‑time settlement has accelerated alongside stronger regulatory scrutiny, making integrated AI for market intelligence, accounting, risk control, and governance both practical and necessary. Key solution categories include Market Intelligence Tools for real‑time price, counterparty and liquidity signals; AI Data Platforms that normalize on‑chain and off‑chain datasets; Regulatory Compliance Tools that provide audit trails and explainability; AI Tool Marketplaces for assembling vetted models; and AI Security Governance for visibility, access control and policy enforcement. Representative tools from the provided set illustrate common roles: Bookeeping.ai automates bookkeeping and reconciliations relevant to treasury accounting; Perplexity AI, Claude and Google Gemini support research, data interrogation and synthesis for portfolio and risk analysis; IBM watsonx Assistant and StackAI enable enterprise-grade assistants and no‑code/low‑code agent orchestration for routine workflows; Xilos and Adept supply agentic infrastructure and activity visibility for multistep automation; developer‑focused copilots (GitHub Copilot, JetBrains AI Assistant) accelerate integration, scripting and internal tooling. Taken together, these platforms help treasuries automate reconciliations, perform scenario analysis, enforce compliance controls, and maintain traceable agent activity on tokenized rails. Buyers should evaluate data lineage, explainability, governance controls, and interoperability with custody and settlement providers when selecting solutions.