Finance teams spend considerable time on routine questions: which category belongs on this expense, whether a receipt matches a charge, and whether a purchase follows policy.
Ramp describes AI features designed to assist with these tasks. Their value should be tested against the work your team actually performs and the decisions it needs to retain.
Understand the tasks being assisted
Ramp Intelligence is an AI layer across its products. Ramp describes functions such as expense and invoice data extraction, coding assistance, policy-related review, and surfacing unusual activity.
The available capabilities depend on the relevant service and setup. Ask which functions are active in the proposed account and what actions they are permitted to take.
A product demonstration should show both the ordinary case and the case the system cannot resolve confidently.
Give the system a usable policy
A hypothetical business might allow ordinary travel purchases within defined limits while requiring approval for exceptions.
That process needs clear rules about permitted spending and documentation. AI cannot resolve an ambiguous policy simply by applying it more quickly.
Review the categories, approval responsibilities, and source information the system will use. Incorrect or inconsistent historical records can also make suggested treatment less useful.
Test helpfulness rather than confidence
Use authorized examples of ordinary expenses, an unusual purchase, a missing receipt, and a transaction that crosses departments.
Compare suggested coding and policy treatment with the decision your finance team would make. Record corrections and check whether the explanation is understandable.
An anomaly flag is a prompt to investigate. It is not, by itself, proof of fraud or misconduct. A transaction that receives no flag is not automatically correct.
Set boundaries around action
Clarify which functions draft information, which suggest decisions, and which can act under your configuration.
Check the review queue, audit record, correction process, and permission controls. Keep payment authorization and consequential exceptions under the appropriate accountable process.
Also review the current data-use and security terms for your business information.
Judge the operational result
Measure missing documentation, correction rates, time spent on exceptions, and the quality of the final accounting handoff.
A fast first pass is useful when it gives reviewers a smaller, clearer queue. It is less useful when staff must silently correct substantial errors later.
Ramp AI deserves evaluation for teams with repetitive financial administration. Its strongest contribution is assistance that the team can inspect, correct, and incorporate into a dependable finance process.