OYO AIOYO AI
USE CASES / FINTECH FRAUD AND DISPUTES
USE CASE · FINTECH FRAUD AND DISPUTES

From first report to regulator response.

A single system of record for fraud, scam and dispute cases at a retail bank on OYO AI. One case from any channel, a containment playbook with a visible clock, a documented money trail, remediation under second-person approval, and regulator deadlines that escalate before they are missed.

12 use cases, report to close49 functional requirements14 rules the system enforces20 acceptance scenarios for the bank’s staff

Where it stands. Specified with a retail bank, which is not named, and prepared for user acceptance testing on test data. The figures below are targets from the requirements, not results.

Cover of the OYO AI use case: From first report to regulator response
THE PAYOFF

What a fraud and disputes unit is targeting.

Detection is bought. Response is where loss and supervisory exposure sit, because recovery depends on elapsed time. These are the targets in the requirements, each measured against a baseline taken in discovery.

85%+
of high-priority cases contained within the target time

A playbook applies on assessment: services restricted, disbursement flagged, recalls raised to every institution holding traced funds. The clock is on the case and escalates itself.

Target at 12 months, from the requirements. Not yet a measured result.
+30%
recovered amount against gross reported loss, relative

Every recall has an amount, a recipient and a deadline, and is chased automatically. Partial returns update the case and the recovery measure.

Target at 12 months, from the requirements. Not yet a measured result.
−40%
analyst hours per closed case

One case instead of a ticket, a call note and an e-mail thread. The case file is produced from the record, so the same work is not assembled twice.

Target at 12 months, from the requirements. Not yet a measured result.
100%
of restriction lifts with method, evidence and approval

A lift cannot be completed without an identification method and an evidence reference. It is the one control a supervisor can test case by case.

Target from month 6, enforced by a rule that refuses the lift.
And the rules that make the numbers stick
  • 0 self-approved remediation decisions
  • 0 cases closed automatically
  • 0 records deleted: closure is a state
  • 0 writes to systems of record in Phases 1 and 2
  • 3 languages for screens and customer letters
  • 1 case, whatever the channel
  • Same-day policy change, without a release
  • Every outcome tied to the policy version that produced it
  • Deployed inside the bank’s perimeter
ON SCREEN

The system behind these rules.

Eight screens from the system: the command centre and its reports, then the registers where cases, restrictions and regulator requests are worked.

Command centreNet loss, open cases and containment within target, with cases by branch, fraud pattern and severity. Every chart filters the whole board.
Loss and recovery by fraud patternGross loss by pattern and containment outcome, case counts, and loss by liability conclusion.
Regulatory clock complianceRequests answered on time or overdue by source, the compliance verdict, and how late the overdue ones are.
The money and the open clocksLoss, cases and recovery rate by month, then open high-priority cases, breached clocks and containment by severity.
Case queueEvery case with its priority, state, branch, assignee, disbursement hold and containment target.
Money trailEach transfer hop by hop, with the aggregate at each party, cash-out points and repeat parties flagged.
Restriction register (STOP)Every restriction with its origin, state, high-risk flag, applied time and lift decision deadline.
Regulator deskRequests from the police, the Mediator, the Central Bank and the courts, each with its sender reference, deadline, state and owner.

Screens from the system, with sample data. Names are masked.

BEYOND THE USUAL

Where typical software stops, and where OYO AI keeps going.

Fraud platforms score transactions and raise alerts. General ticketing tools hold notes. Neither is built to prove afterwards which control acted, who decided, and when. OYO AI does not detect fraud; it governs everything after a suspicion exists.

AreaTypical solutionsOYO AI
FocusTypicalDetection: scoring, rules and an alert queue.OYO AIResponse: report, containment, investigation, decision, regulator answer and close.
ContainmentTypicalA manual hand-off after the alert, often by telephone.OYO AIA playbook per fraud pattern fires on assessment, with a visible clock that escalates itself.
Money trailTypicalRebuilt in a working file, from what people can provide.OYO AIHop by hop across institutions, aggregated per party across every path, with the recoverable total shown.
LiabilityTypicalA narrative written after the fact.OYO AIA control checklist per pattern, completed in the case, with a gate that refuses unsupported conclusions.
Restriction liftsTypicalA status change in the channel tool.OYO AIRefused without an identification method and an evidence reference. Second officer on high-risk or case-linked lifts.
Regulator deadlinesTypicalTracked in mailboxes or a shared calendar.OYO AIComputed from the bank’s own policy in real working days, escalated, and breaches recorded with a reason.
Policy changeTypicalA vendor ticket or a release cycle.OYO AIPatterns, playbooks and deadlines maintained by the fraud unit, versioned, effective the same day.

Typical solutions are described by category. Detection stays with the channel and monitoring platforms the bank already runs.

THE OPERATION

After the alert, most banks run on memory.

A customer reports a scam. The officer records what they can in whatever tool is at hand and telephones the back office for a block. If money can still be recovered, it is leaving while the request travels between people.

Recalls are tracked in the sender’s mailbox, remediation lives in committee minutes, and a regulator’s deadline is remembered rather than tracked. When the supervisory question comes, the answer is assembled from several systems and several people’s memory.

Since 1 July 2026 Armenian institutions must offer the Central Bank’s STOP mechanism, and a lift requires the customer to be identified first. Evidence that is not captured at the moment of the action cannot be reconstructed later. The same pressure is rising elsewhere: UK Finance counted £576.4 million lost to authorised push payment scams in 2025.

THE SPINE

One case, and a rule at every hand-off.

Reachable amount = received by the party − cashed out

Aggregated per party across every path of the money trail, because split transfers are the normal pattern.

One case

Any channel, including referrals from the regulator, the Mediator or the police, opens exactly one case with one reference and one timeline.

The clock

Priority sets a target time from the bank’s own policy. The time left is on the case, and it escalates before it breaches.

The control checklist

Which controls should have acted, which did, and on what evidence. Completed while the facts are fresh, not rebuilt for an inspection.

Two people

The person who investigates cannot approve the remediation, and the officer who applied a case-linked restriction cannot approve its lift.

END TO END

The chain a case follows.

  1. 01Report from any channel
  2. 02Assess and prioritise
  3. 03Contain
  4. 04Build the money trail
  5. 05Complete the control checklist
  6. 06Conclude liability
  7. 07Propose remediation
  8. 08Second-person approval
  9. 09Customer letter and regulator response
  10. 10Close with a retained audit trail
WHAT IS COVERED

Twelve use cases, in the order of the chain.

Each one has its main flow, the rules it enforces, the exceptions it handles and the acceptance test that proves it.

Report and assess

  • UC-01Register a fraud report
  • UC-02Assess and prioritise a case

Contain

  • UC-03Contain an active incident

Investigate

  • UC-04Build the money trail
  • UC-05Complete the control checklist and conclude liability
  • UC-06Refer a case to the AML function

Decide

  • UC-07Propose and approve remediation

Restrictions (STOP)

  • UC-08Apply and lift a restriction

Respond

  • UC-09Answer a regulator or Mediator request

Govern

  • UC-10Change a fraud pattern and re-assess parked cases
  • UC-11Produce evidence for internal audit or a supervisor
  • UC-12Manage the workload of the unit
WHO DOES WHAT

Ten roles, with duties kept apart.

Intake officer

Registers reports, captures statements and requests immediate blocks.

Fraud analyst

Triage, money trail, control checklist, liability proposal and correspondence.

Head of Fraud and Disputes

Workload, containment oversight and escalations.

Approves: priority overrides and material policy changes

Channel operations officer

Applies and lifts restrictions, and records identification evidence.

Remediation committee member

Reviews the case file and the proposal.

Approves: remediation decisions they did not investigate

Compliance officer

Owns regulator and Mediator responses and AML referral.

Legal liaison

Police referrals, information requests and criminal case references.

Fraud business analyst

Maintains patterns, playbooks, categories, control codes and deadlines.

Internal auditor

Reads and exports everything, and can change nothing.

RULES, NOT REMINDERS

Fourteen rules, eight of them here.

01

No evidence, no lift

A restriction lifts only after the customer is identified by an approved method and the evidence reference is recorded.

02

Investigate or approve, not both

Separation of duties holds on the individual case, not only by role.

03

No silent closure

No case closes automatically. Taking no action is a recommendation by a named officer.

04

Sum every path

The amount at a party is the sum across every branch of the trail, never the largest branch.

05

Prove the gap

Bank control gap is allowed only where the checklist shows a control that should have acted and did not.

06

Deadlines are policy

Values belong to the bank, are never in software, and count real working days.

07

Nothing touches the core

Nothing recorded here alters balances, postings or facility terms.

08

Which version decided

Every configuration change is versioned, and each case records the version that produced its outcome.

HOW IT IS PROVEN

Twenty scenarios for the bank’s own staff to run.

Acceptance runs on synthetic data, with the bank present. These are the scenarios where the system has to say no.

ScenarioExpected outcomeRule
Lift with no identification evidenceCannot complete; attempt recorded1
Investigator approves their own proposalRefused2
Case-linked lift by the officer who applied itRefused; second officer succeeds2
Two parallel transfers to one partyAggregate equals the sum5
Incomplete control checklistRefused, deficiency named6
Control gap where the checklist shows noneRefused6
Deadline across a public holidayComputed on working days7
Branch user opens another branch’s caseRefused by every route, including export11

No production personal data is used in the pilot or in acceptance. On the final day of the pilot, the bank’s own analyst makes a live configuration change.

THE FULL DOCUMENT · PDF

Get the full specification.

The complete document: all twelve use cases with their main flow, exceptions and acceptance test, the fourteen rules, the clocks, the targets and how they are measured, and the twenty acceptance scenarios.

  • All 12 use cases from report to close
  • The rules, the clocks and the targets, with how each is measured
  • The 20 acceptance scenarios and the phased delivery plan

From first report to regulator response · 25 pages · 2.0 MB · no sign-up

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