OpenAI’s treasury team works as context managers: they identify the financial questions that matter, bring the right information together, and apply judgment to the answers. Treasury4 supplies clean, secure, structured, real-time treasury context through the Treasury4 MCP, letting the team ask questions, retrieve data, build custom analytics, and coordinate work without manually reconstructing the underlying information each time.

• Treasury becomes a context manager. The team frames the question, provides relevant financial context, and decides what the evidence means for the business.
• Reliable context starts in the treasury system. Treasury4 brings bank and treasury data together securely and makes it available in a structured, agent-ready form through MCP.
• Agents take on the mechanical work. Retrieval, scripting, formatting, orchestration, and routine analysis move out of the treasurer’s way, so model capacity goes to financial judgment.
• MCP enables custom analytics. Teams can use agent access to structured treasury data to create tailored analyses and reporting for the questions they need to answer.
• Start with questions and build toward orchestration. Single-agent work can grow into coordinated workflows that bring context as needs and controls mature.