Spot an APP scam in progress, intervene effectively with the customer, and apply the gross-negligence / reimbursement boundary correctly.
Front-line scam detection, made practical, in four phases. Under the mandatory-reimbursement regime, catching a coached customer mid-payment is a direct loss line. You Engage with a live safe-account call and rate your own readiness, Share the five typologies and the four tells that cut across them, Practice the intervention with in-context quizzes and ordering drills, then Perform — writing your own intervention and proving it on a scored post-test — across purchase, romance, investment, impersonation (safe-account) and invoice/CEO scams.
Meet the loss line. Watch a live safe-account scam in progress and get an honest read on how ready you'd be to catch it.
Learn the five typologies and the four tells that cut across all of them, then lock them in on cards.
Apply the framework with feedback: make the call on live coached payments, sequence the safe-account intervention, and write your words for the crypto case.
Prove it. Write the live intervention you'd actually deliver, then pass a scored post-test on the typologies and the reimbursement boundary, and attest you're shift-ready.
Related in this track
Book a demo and we'll run "Scam & APP-Fraud Defence: Spotting Authorised Push Payment Scams at the Front Line" end to end on your people — the AI asks, your people think — or point the Forge at your own material instead (a pre-pilot capability preview).