Definition · AI in finance
Agentic AI
Agentic AI is artificial intelligence that can plan, choose tools, and take multi-step actions toward a goal with limited human supervision. For agentic 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 agentic artificial intelligence
Why it matters
Understanding agentic 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 agentic AI to investigate finance questions end to end, while keeping a human-verifiable audit trail and deterministic numbers behind every conclusion.
In practice
Governance example
Teams use agentic 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 agentic AI to investigate finance questions end to end, while keeping a human-verifiable audit trail and deterministic numbers behind every conclusion.
In practice, teams should define agentic AI with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding agentic 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 agentic AI to investigate finance questions end to end, while keeping a human-verifiable audit trail and deterministic numbers behind every conclusion.
A strong workflow for agentic 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 agentic AI to investigate finance questions end to end, while keeping a human-verifiable audit trail and deterministic numbers behind every conclusion.
FAQ
What is agentic AI?
Agentic AI is artificial intelligence that can plan, choose tools, and take multi-step actions toward a goal with limited human supervision. For agentic 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 agentic AI and generative AI?
The boundary for agentic AI differs from related terms by scope, source data, time period, and decision use. In this glossary, it covers what agentic AI means as a paradigm — AI that plans and acts toward goals with limited supervision — versus single-turn generative AI, so teams should compare those boundaries before using it in reporting or planning.