For fraud, AML and investigations teams

Improve the speed and quality of every financial crime investigation.

CaseLab helps financial crime investigators make better decisions through realistic simulated investigations.

See the product
How it works

Generate. Investigate. Score. Repeat.

1
Our engine builds a case

From your company profile and internal policies.

2
Your analyst investigates

Evidence, witnesses, notes, a decision.

3
The process is scored

Openings, omissions, reasoning. Not just the answer.

4
You see readiness

Per analyst, team and typology.

15 minutes per case  ·  12 levels of difficulty  ·  Zero real customer data
The solution

Financial Crime Simulator.

CaseLab provides a realistic environment to practise financial crime investigations under time pressure.

caselab.regfyl.com/investigation
CaseLab.  LIVE INVESTIGATION12m 41s1
Rapid inbound transfers followed by cash withdrawals
Ref TM-2216 · AML Investigations · Level 4
Risk: High
⚠ Alert👤 Customer🪪 KYC⇄ Transactions2🕸 Graph🛡 Screening
04 JunInstant transfer in+ 9,400R. Okafor Ltd
04 JunMobile money in+ 9,650Delmar Trading
05 JunAgent cash withdrawal− 9,000Cash
05 JunATM withdrawal− 8,700Cash
06 JunInstant transfer in+ 9,120Delmar Trading
06 JunAgent cash withdrawal− 8,900Cash
07 JunCard payment− 84Fuel station
⚠ Amounts sit just under the reporting threshold.3
🧭 Case companion4
What's your initial read? State a working hypothesis.
Looks like structuring. The KYC income doesn't explain this volume.
Noted. Let the evidence overrule it if it must.
Three in-and-out cycles now. Sending an RFI to the customer.
1
The clock

15 minutes, hard cap. Honest pressure, like the real queue.

2
The evidence

Alert, customer, KYC, transactions, graph, screening. All in one place.

3
The flags

Hidden in plain sight: amounts just under the reporting threshold.

4
The companion

Captures the analyst's thinking, live. The reviewer reads it back.

Review

The whole process is scored.

A senior reviewer reconstructs how your fraud analyst worked, not just the outcome.

  • What they opened first, and what they ignored
  • How their hypothesis evolved against the evidence
  • Whether the final reasoning actually holds
caselab.regfyl.com/attempt
✓ Correct outcome · STR filed
84Overall
88Decision
79Coverage
81Policy
76Notes
💡 Your hypothesis and how it evolved
You called structuring inside two minutes and tested it against KYC income rather than anchoring on it.
🙈 What you never looked at
The relationship graph went unopened. It would have shown Delmar Trading sharing a director with the customer.
Manage

Know who's ready.

Speed, quality and coverage, measured per analyst, team and typology.

  • Score overrides and dispute handling built in
  • CSV exports for compliance packs
  • Weekly digest to your inbox
caselab.regfyl.com/business/readiness
CaseLab.  BUSINESS · READINESS⬇ Export CSV
74Team readiness▲ 3 this month
15Active analysts4 departments
2Flagged reviewsawaiting a look
6Ready
4Nearly
3Developing
2Needs support
Readiness by typology
Structuring84
Mule networks71
Trade finance62
Sanctions43
Investigators
AO
Amara ObiTransaction Monitoring · L6
87
KM
Kwame MensahSanctions · L4
72
LD
Lerato DubeFraud · L2
48
TN
Tunde NwosuTrade Finance · L5
76
SB
Sana BelloTransaction Monitoring · L3
64
Use cases

From hiring to audit.

The same simulator carries an analyst from their first interview to the evidence file.

82
Candidate assessment
J. Adeyemi · Fraud Analyst (final round)
✓ Correct outcome · STR filed
Test analysts before they join

Give candidates a real case. See the score before the offer.

L1 → L5Week 3
FoundationPractitionerSeniorExpert
Cut onboarding time

New joiners work fifty cases before their first live alert.

Structuring84
Mule networks71
Sanctions43
Coach here
Coach where it's needed

Readiness by typology sets the agenda for the next knowledge session.

📄 caselab-readiness-2026.csv
A. Obi31 cases87 · Ready
K. Mensah24 cases72 · Nearly
Audit ready
Evidence of training

Every attempt logged, scored and exportable. Show, don't assert.

Find out what your analysts would do before real money is on the line.

Tell us about your team. We'll show you the engine running on an institution like yours.

Register your interest

Tell us about your team and we will come back to you within one business day.