Read the business request
Sign in to save your workRead the request as a governance practitioner. Your task is to test whether the case for BankFraud AI is supported by evidence, not to validate the solution.
“We need an independent view on whether BankFraud AI's automated blocking can continue as it is, and on what conditions.”
BankFraud AI scores every card payment for fraud risk in real time. Depending on the score and the thresholds Northbridge sets, a payment is approved, sent for customer verification or temporarily blocked.
A computer model looks at each card payment and guesses whether it is fraud. If it is very suspicious, the bank stops the payment. That protects people from criminals, but when the guess is wrong a genuine customer can be left unable to pay for a hotel, food or medicine.
- Six evidence documents
- Five fictional customer cases
- Simulated model scores and actions
- A sample of urgent-case records to test
- Reduce card fraud losses
- Protect customers from criminals
- Cut manual review workload
- Meet a 2-hour target for urgent customer cases
Your first challenge
Write your opening questions before you look at the evidence.
Think about purpose, data, affected people, evidence, accountability and the human role…
Answers save automatically and sync to your account when you are signed in.
Every organisation, person and figure is fictional. Do not enter real personal, customer or patient information.