AI Agent for Finance
Give your finance team an AI agent that drafts, reconciles, and checks the numbers before you sign off.
Buda helps finance teams run reconciliation prep, financial report drafting, variance analysis prep, expense and invoice review, and month-end close support from one shared workspace, where every artifact is reviewed before it informs a decision or filing.
A finance answer that can't be audited is a liability, not a shortcut
Your reporting deadlines arrive faster than the numbers can be pulled and tied out.
The numbers live in the ERP, spreadsheets, bank feeds, invoices, expense reports, subledgers, and last quarter's board deck. No single figure has one source of truth.
Before analysis starts, someone pulls balances, ties out subledgers to the GL, and chases the one invoice that won't match. Most of the close is gathering, not deciding.
A generic bot will confidently miscalculate a total, misclassify a transaction, or pull the wrong period, and in finance that surfaces in a filing, an audit, or a board decision.
A controller signing a report cannot see which sources, figures, and assumptions fed it, or who checked the work before it reached their desk.
How Buda gives finance a workspace instead of a black-box bot
Build a workflow around AI Agent for Finance.
Buda is not a finance chatbot bolted onto your ERP. It keeps finance teammates, agents, source files, and approval rules together in a single workspace they all work from.
What your finance agents put on the reviewer's desk
Six specialized agents share one workspace, and each result is something a person can open, trace, and check before it counts.
Reconciliation prep agent
Pull bank feeds, card statements, and subledger balances, match them against the general ledger, and flag the transactions that don't tie out for a human to resolve.
Variance analysis prep agent
Compare actuals against budget and forecast, surface the accounts that moved, and draft a first-pass explanation of each variance for the analyst to confirm or correct.
How to pilot an AI agent for finance in 4 weeks
Pick one close or reporting workflow to start, and widen only after the numbers hold up under review.
Four weeks. One workflow. A finance artifact your controller trusts before you scale.
Choose one finance workflow
Begin with reconciliation prep, financial report drafting, variance analysis prep, expense and invoice review, or month-end close support.
Pick something small enough that a reviewer can re-check every figure the agent touched.
Assign agents and controls
The workspace holds your finance teammates, the source files, the agents, and the approval rules that govern them, all in one place.
Draft-only, summarize-only, or hold-for-sign-off: every agent action falls into one of those buckets, and you set which is which.
Measure output and review quality
Read through the drafts, the source trail, the flagged exceptions, and the run history before you widen scope.
Record where the agent genuinely shortened the close and where a controller still has to own the figure.
Expand or stop cleanly
Once a controller trusts the output, extend the same setup to another entity, ledger, or close cycle.
If it doesn't, the workspace still holds a full audit trail: what each agent pulled, what it produced, and who signed off.
Keep the judgment with your finance team, give the prep to agents
Finance runs on trust. A number that arrives fast is worthless if it's wrong, misclassified, or impossible to trace when an auditor asks.
Agents prepare the work, humans decide what ships. On the numbers that means the agent drafts figures and flags exceptions, while a controller reviews and approves before anything reaches the books, a filing, or the board.
Use Buda when you want AI to help with:
Do not use AI as an unchecked signer of reports, filings, journal entries, or payments.
Think of it as the operational layer under your close: faster prep, with people still accountable for whatever gets signed.