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Definition · AI in finance

Generative AI

Generative AI is artificial intelligence that creates text, images, code, or other content from learned patterns and prompts. For generative AI, the useful boundary is the data it uses, the tools it can call, the approvals it needs, the review standard, and the finance decision it may influence before the output is trusted or automated.

Also known as genAI, generative artificial intelligence

Written by Pluvo TeamReviewed by Pluvo Team
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Why it matters

Understanding generative AI matters because AI-assisted finance work can sound confident even when data, assumptions, or compute paths are wrong. A useful definition keeps the output grounded, reviewable, and accountable. Pluvo applies generative AI to explain and narrate findings, while the underlying numbers are computed deterministically and traced to source rather than generated.

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In practice

  • Governance example

    Teams use generative AI when they evaluate whether an AI-assisted analysis can be trusted. The useful test is whether the output is tied to approved data, repeatable logic, human review, and an audit trail.

  • Pluvo example

    Pluvo applies generative AI to explain and narrate findings, while the underlying numbers are computed deterministically and traced to source rather than generated.

In practice, teams should define generative AI with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.

Understanding generative AI matters because AI-assisted finance work can sound confident even when data, assumptions, or compute paths are wrong. A useful definition keeps the output grounded, reviewable, and accountable. Pluvo applies generative AI to explain and narrate findings, while the underlying numbers are computed deterministically and traced to source rather than generated.

A strong workflow for generative AI separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.

Pluvo applies generative AI to explain and narrate findings, while the underlying numbers are computed deterministically and traced to source rather than generated.

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FAQ

What is generative AI?

Generative AI is artificial intelligence that creates text, images, code, or other content from learned patterns and prompts. For generative AI, the useful boundary is the data it uses, the tools it can call, the approvals it needs, the review standard, and the finance decision it may influence before the output is trusted or automated.

What is the difference between generative AI and deterministic AI?

The boundary for generative AI differs from related terms by scope, source data, time period, and decision use. In this glossary, it covers what generative AI is, the kinds of content it produces, and where it fits versus deterministic computation in finance, so teams should compare those boundaries before using it in reporting or planning.

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Sources

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