FraudLabs Pro helps teams assess fraud risk around transactions and sign-ups. Strawberry helps turn the results visible in the browser into an evidence-led review queue, connecting flags with the order, customer, and operational context that a decision owner needs.
Use it to prioritise cases, identify missing evidence, prepare escalation notes, and keep a consistent distinction between a risk signal and a final decision.
01
Prioritise flags without treating every signal as proof.
Risk scores and rules are useful starting points, not automatic conclusions.
Strawberry can organise the FraudLabs Pro cases open in your browser by stated risk, order value, missing information, and required reviewer.
02
Bring the decision evidence into one review packet.
A reviewer should not have to jump between a risk result, an order, and a customer record just to understand a case. Strawberry can prepare a compact case packet from the browser context you provide without approving or declining anything.
03
Separate recurring patterns from isolated cases.
An individual flag may be resolved quickly, while a repeated pattern may indicate a process issue worth investigating. Ask Strawberry to summarise the visible cases with representative evidence and careful limits on what the data supports.
04
Keep an authorised review standard in place.
Every weekday at 08:30, run the same pending-case pass: separate high-risk cases with enough evidence to escalate from those waiting on an order detail, customer history, or reviewer. An unreviewed accept, decline, refund, or account restriction can turn a risk signal into a costly customer or fraud decision, so those actions stay with the authorised reviewer.
It can organise visible cases into a review queue using the criteria you provide and the evidence available in the session.
Keep order decisions with an authorised reviewer. Strawberry can prepare the supporting case, not silently make the decision.
Bring the relevant browser tabs into the task so the reviewer receives one evidence-led packet.
Yes. Schedule a weekday pending-review queue that applies the accepted evidence thresholds; the authorised reviewer still decides whether a transaction is accepted, declined, refunded, or restricted.