Use cases

Get each APP scam claim ready for the handler who decides it

UK rules. Reads the victim's account so the claim reaches the right team, and flags an ongoing scam or a need for support. A handler decides every claim.

Try it on this example

Example · A rental deposit scam where the fake landlord said which purpose to pick

What the customer typed or said when they made the payment (empty if none): Purpose chosen: Paying a friend or family member Who is this payment to? a friend Have you met them in person? yes Has anyone told you what to say or which option to choose? no

Customer's account of what happened

Scam claim form Name: Tamsin Selby How did you pay: bank transfer in the app What happened? Please tell us in your own words. I was looking for a flat to rent near my new job and found a one-bedroom flat on a property website, at 18 Quayside Road in Kingsmere. I messaged the advertiser, who said his name was Adam Pennant and that he owned it. He said he was working abroad for six months so he could not show me round, but he sent a video tour, a photo of what he said was his passport and a tenancy agreement for me to sign. He said a lot of people wanted the flat and that if I paid a holding deposit and the first month's rent by Friday he would take the advert down and send me the keys by courier. On 3 September I paid £1,450 to an account in the name A Pennant. When I set up the payment the app asked what it was for. Adam had told me to choose "paying a friend or family member", because otherwise the bank holds rent payments for days and he would have to give the flat to the next person. So I picked that and said he was a friend. The app showed a message about scams before I pressed send. I thought it was the usual thing and carried on. The keys never came. His number now goes straight to voicemail and the advert has gone. When I went to the address on Saturday a woman who lives there said the flat has never been for rent and that two other people had turned up that week asking about it. I've blocked his number and his email. I reported it to the police online and have a crime reference, 4821/0925. I have the messages, the video and the tenancy agreement and can send them. Is there anything else we should know? That was nearly all my savings. I have to be out of my current room at the end of the month and now I can't pay a deposit anywhere else. I've been signed off work for two weeks with anxiety since this happened and I'm finding it hard to sleep.
  1. Which kind of case does the customer's account describe?APP scam100%
  2. Which scam story, if any, does the customer's account most resemble?Purchase from a stranger100%
  3. Does the customer's account describe the payment differently from what they said when they made it?Described differently73%
  4. Does the account show someone else telling the customer what to do, say or choose for the payment?Yes96%
  5. What does the customer say they were warned before making the payment?General warning only100%
  6. Does the customer mention installing an app or software for someone, or someone seeing or using their screen?No92%
  7. Does the customer say they are still in contact with the scammer, or may send more money?No94%
  8. Does the account suggest the customer passed money on for someone else?No95%
  9. Does the customer mention circumstances that may mean they need extra support?Yes96%
  10. Does the customer say they reported the scam to the police?Yes99%
  11. Is there enough in the account to tell what kind of case this is and what happened?Yes97%

These are real answers stored from one run on this example.

The prism behind it

Get each APP scam claim ready for the handler who decides it11 questions

Fields

  • Customer's account of what happened
  • What the customer typed or said when they made the payment (empty if none)

Context

These are scam claims made to a UK bank after the customer sent money by bank transfer. The claim statement is the customer's account of what happened, from a web form, a chat or a call note. The payment time answers are what the customer typed or said when they made the payment, if the bank asked; the field is empty when it did not. The UK rules on authorised push payment (APP) scams, in general terms: individuals, micro-enterprises and charities tricked into sending money to a fraudster over Faster Payments or CHAPS can claim within 13 months of the payment, up to £85,000. The firm reimburses within 5 business days of the claim or, if it stops the clock to gather information, reaches an outcome within 35 business days. The firm may apply an excess of up to £100, but not to a vulnerable consumer. There is no reimbursement where the customer was complicit in the fraud or grossly negligent; gross negligence is a high bar, and that exception does not apply to a vulnerable consumer. The customer is asked to report to the police, or to let the firm report on their behalf. A payment the customer did not make is an unauthorised payment and goes to the fraud disputes team. A dispute with a real seller or trader who delivered late, poorly or not at all is a civil dispute, not a scam. The scam stories the fraud team reports on: bank or police impersonation, other impersonation, investment, romance, purchase from a stranger, invoice or bank detail change, advance fee, job or task scams, and a relative on a new number. The four drivers of vulnerability: poor health, life events, low resilience and low capability. Each claim is read on arrival so a handler starts with the right questions. Treat the customer as a victim. Judge only what the account says, never whether the customer is telling the truth. Never treat a name, an accent, a language, an age or a place as a sign. These answers never approve, reduce or refuse a claim, never apply the excess and never decide whether an exception applies: a claims handler decides every claim, and a specialist reviews any claim where the customer mentions circumstances that need extra support. Amounts, dates, the 13-month limit, the cap and the customer's claim history are worked out by code.

Questions

  1. Which kind of case does the customer's account describe? Choice

    Judge from what the customer says happened, not from the words they use: "scam" and "fraud" appear in every kind of case. Pick one option.

    • APP scam The customer made the payment themselves, to someone who turned out to be a fraudster, or because someone posing as a trusted person or body talked them into it.
    • Payment not made by the customer Someone else made the payment from the customer's account, and the customer did not make, approve or agree to it.
    • Dispute with a real seller The customer paid a real business or person who exists and trades, and who delivered late, poorly, partly or not at all, with no sign of deception when the customer paid.
    • Mistake or change of mind The customer paid the wrong account or the wrong amount, or regrets a payment, and no one deceived them.
    • Not a new claim The message asks about an existing claim or raises something else, and describes no new loss.
  2. Which scam story, if any, does the customer's account most resemble? Choice

    Pick the one scam story named in the context that the account most resembles. Choose No scam story when the account describes no scam, such as a payment the customer did not make or a dispute with a real seller.

    • No scam story An ordinary payment such as rent, a bill, a purchase from a known seller or money to family, with nothing that fits a scam story.
    • Bank or police impersonation Someone claiming to be from the bank, the police or another authority says the customer's money is at risk and must be moved to keep it safe.
    • Other impersonation Someone claiming to be from a tax office, a utility, a delivery firm or a phone company asks for payment of a bill, a fine or a fee.
    • Investment Crypto, a trading platform or an opportunity promising high or guaranteed returns, usually found online or through a new contact.
    • Romance or friendship Money for someone the customer knows only online or has never met in person, often for travel, a medical bill or an emergency.
    • Purchase from a stranger Goods, a pet, tickets, a vehicle or a rental deposit paid by bank transfer to a seller found online, usually before seeing the item.
    • Invoice or bank detail change A supplier, builder, solicitor or landlord has sent new bank details for a payment the customer expected to make.
    • Advance fee A fee paid to release a loan, a prize, an inheritance, a parcel or a refund.
    • Job or task scam Paying to unlock earnings, commission or a job that comes from online tasks, reviews or orders.
    • Relative on a new number A message claiming to be from a child or another relative with a new phone number asks for money urgently.
  3. Does the customer's account describe the payment differently from what they said when they made it? Choice

    Compare the claim statement with the payment time answers. Victims are often told what to say when they pay, so a difference is a question for the handler, never a sign that the customer is lying.

    • Same payment The account describes the same kind of payment and payee as the payment time answers, or adds detail that fits them.
    • Described differently The account describes a different kind of payment or payee from the payment time answers, for example "paying a friend" at payment time for what the account says was a deposit to a landlord.
    • No payment time answers The payment time answers field is empty, so there is nothing to compare.
  4. Does the account show someone else telling the customer what to do, say or choose for the payment? Yes / No

    Count "I was told to", "he said to pick", being told which purpose to choose or what to type, being told to keep the payment from the bank, family or friends, and being talked through the payment on the phone. A seller or landlord asking to be paid, with nothing more, does not count. Yes: Someone else directed the payment, what the customer chose or typed, or the secrecy around it. No: The customer describes making the payment on their own terms, with no sign that someone directed them.

  5. What does the customer say they were warned before making the payment? Choice

    Judge only what the customer's account says; the handler checks the bank's own record of the warnings it showed. A warning the customer mentions is a fact for the handler, never a finding of gross negligence. Pick one option.

    • Warning about this scam The customer says the bank, the police or someone else warned them about this kind of scam or this payment in particular, for example in a call or a message that named the story they were in.
    • General warning only The customer says they saw or heard a general caution, such as an on-screen message about scams, that did not name the story they were in.
    • No warning mentioned The account says nothing about a warning, or says there was none.
  6. Does the customer mention installing an app or software for someone, or someone seeing or using their screen? Yes / No

    Count screen-sharing or remote access apps, an app installed at someone's request, someone logging in for the customer, or someone watching their screen or phone while they made the payment. Yes: The customer mentions something of this kind. No: Nothing of this kind is mentioned, or the customer says no one had access to their device.

  7. Does the customer say they are still in contact with the scammer, or may send more money? Yes / No

    Count messages still going back and forth, a promise of another step or payment, the customer waiting to hear back, and a new contact offering to recover the money for a fee. A customer who has blocked the scammer, or says contact has ended, does not count. Yes: The account shows that contact with the scammer, or with someone offering recovery, is still going on, or that more money may go. No: The account says contact has ended, or says nothing to suggest it continues.

  8. Does the account suggest the customer passed money on for someone else? Yes / No

    Count receiving money into their account and sending it on, a "payment processing" or "money transfer" role, being paid to let their account be used, and paying on behalf of someone they met through the scam. This often happens in job scams and does not by itself mean the customer knew; a handler looks. Yes: The account says or suggests the customer moved money on for someone else. No: The customer paid for a purpose of their own and says nothing about moving money for anyone.

  9. Does the customer mention circumstances that may mean they need extra support? Yes / No

    Use the four drivers in the context: health, life events, resilience and capability. Count only what the account says about the customer or someone in their household. Do not infer anything from tone, writing style or spelling. Yes: The account mentions health problems, disability, bereavement, old age, money trouble beyond the loss itself, a language or literacy barrier, or similar circumstances. No: The account mentions none of these.

  10. Does the customer say they reported the scam to the police? Yes / No

    Count a report to the police or to the national fraud reporting service, with or without a reference, and the customer agreeing that the bank may report it for them. Yes: The customer says they reported it, or agreed that the bank may report it. No: The customer does not say so, or says they have not reported it yet.

  11. Is there enough in the account to tell what kind of case this is and what happened? Yes / No

    Yes: The account says who the customer paid, how the contact began and why they paid, well enough to tell the kind of case. No: The account is too short or vague to tell, for example "I've been scammed, please refund me", and the handler must ask the customer first.

Lens columns

claim_kind, claim_kind_probability, scam_story, scam_story_probability, payment_answers_mismatch, payment_answers_mismatch_probability, someone_directing, someone_directing_probability, warning_before_payment, warning_before_payment_probability, remote_access, remote_access_probability, still_in_contact, still_in_contact_probability, mule_signals, mule_signals_probability, vulnerability_signal, vulnerability_signal_probability, police_reported, police_reported_probability, enough_information, enough_information_probability

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