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Check the Answer: Evaluating AI Outputs in Treasury

"I want to know how to actually check whether an AI answer is right before I rely on it."

  1. 1
    Problem

    Understand why "it sounds right" is not the same as "it is right", and what changes between a public and a private model.

    ARTICLE

    Public vs Private LLMs in Treasury

  2. 2
    Mechanism

    Distinguish how AI is used (builder, advisor, agent), because each mode fails in a different way.

    ARTICLE

    The 3 Ways AI Works in Treasury

  3. 3
    Example

    See what a complete verification method looks like for a live use case, not just a one off check.

    ARTICLE

    Episode 2: How to Build an AI Treasury Copilot for FX Risk Monitoring (No Coding Required)

  4. 4
    Tool

    Apply a verification grid to a real example, sentence by sentence.

    TOOL

    AI Output Review Lab

    A source document and an AI answer built from it. Mark each sentence supported, unsourced or contradicted, then check against the answer key.

  5. 5
    Checklist

    Define your own verification method before you rely on any AI output for this task.

    TOOL

    AI Use Case Canvas — verification method

    Fill in "how will a human check the output" and "who owns the result". The canvas lists what is still missing.

Done with this path? Next
Learning path

Rules, Automation or AI? Choosing the Right Approach to a Treasury Task

"I have a concrete manual task — I want to know whether it actually needs AI, or something simpler."

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