A pilot with boundaries
Agree the inputs, exclusions and definition of a useful output. Candidate tasks include invoice extraction, receivables summaries or a reviewable cash view.
Let's talk A careful first step for Finance AI.
Let’s discuss your pilotExplore one bounded finance task before deciding what to automate. This is a discovery pilot: we assess data, review requirements and output quality with Finance, while people retain approval and posting authority.
For finance teams willing to evaluate a specific preparation or review task using approved data and a named reviewer. This is not an autonomous accounting service.
Agree the inputs, exclusions and definition of a useful output. Candidate tasks include invoice extraction, receivables summaries or a reviewable cash view.
Where feasible, connect outputs to their source records and flag uncertainty. Finance reviews exceptions and confirms whether the result is usable.
Compare preparation time, correction effort and accuracy with the current process. Decide whether to expand, revise or stop the pilot.
A reviewer opens each approved sample invoice to identify missing or inconsistent information.
A pilot extracts agreed fields and flags possible exceptions for the reviewer. It does not approve payments, post journals or make final accounting decisions.
Finance chooses the use case, permitted data and review boundaries.
Measure extraction or summary quality, including ambiguous and incomplete records.
Review time saved after corrections and determine whether further investment is justified.
Not in this discovery pilot. Finance retains approval, payment and posting authority.
No. It is a scoped discovery pilot used to evaluate whether a specific task is suitable for further development.
Outputs are subject to human review. We record errors, examine their causes and include correction effort in the pilot evaluation.
Start with your workflow. Define the right next step together.