Definition · AI in finance
AI agent
An AI agent is a system that can perceive context, choose tools, plan steps, and take actions toward a defined goal. For AI agent, 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 intelligent agent, LLM agent
Why it matters
Understanding AI agent 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's analysis runs as agents that gather context and build a plan, but every number an agent reports is computed deterministically and traceable to source.
In practice
Governance example
Teams use AI agent 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's analysis runs as agents that gather context and build a plan, but every number an agent reports is computed deterministically and traceable to source.
In practice, teams should define AI agent with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding AI agent 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's analysis runs as agents that gather context and build a plan, but every number an agent reports is computed deterministically and traceable to source.
A strong workflow for AI agent 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's analysis runs as agents that gather context and build a plan, but every number an agent reports is computed deterministically and traceable to source.
FAQ
What is an AI agent?
An AI agent is a system that can perceive context, choose tools, plan steps, and take actions toward a defined goal. For AI agent, 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 an AI agent and a chatbot?
The boundary for AI agent differs from related terms by scope, source data, time period, and decision use. In this glossary, it covers what an AI agent is — a system that perceives, plans, and takes actions using tools to reach a goal — and how it differs from a chatbot, so teams should compare those boundaries before using it in reporting or planning.