Close faster with a paper trail
Invoice processing, expense review, variance reporting — agents do the collection and matching, humans approve what posts.
What changes
Invoice-to-ledger flow
Invoices read, validated, matched against purchase orders and posted with the source document attached — with anything that fails a check queued as an exception.
Variance narrated
Not just which figures moved, but the agent’s reading of why, assembled from the systems where the explanation actually lives.
Controls preserved
Approval thresholds are enforced by the runtime, and every posted entry carries a receipt linking it to the document, the checks that ran and the person who released it.
Month-end is a data collection problem wearing a deadline
Most of the close is gathering: pulling figures from several systems, chasing the ones that are late, matching things that should match and investigating the ones that do not. Very little of it requires an accountant’s judgment, and the part that does gets squeezed into the final day because the collection consumed the rest. Automating collection buys back exactly the time the judgment needed.
Auditability improves rather than degrades
This is the reasonable objection, and receipts are the answer. An entry that links to its source document, the validation checks that ran, the match result and the approval that released it is a stronger trail than a spreadsheet and somebody’s recollection. It is also produced continuously instead of assembled under pressure the week before the auditors arrive.
Where the thresholds belong
Finance automation should be conservative by construction. Small, clean, well-matched items flow through; anything unusual, above a limit, or from a new supplier stops for a person. Those thresholds are configuration enforced by the runtime, not instructions given to a model — which is what makes them a control rather than a preference.
Common questions
Can an agent post to our ledger without approval?
Only within thresholds you set explicitly. Many teams start with every entry approved and relax it only for small clean matches.
How does this handle multiple entities or currencies?
As rules you state — currency, tax treatment and rounding are part of the validation you define rather than assumptions.
Is the data sent anywhere?
AGNT runs locally and your documents stay on your machine. With a local model, financial data never leaves your hardware.