AML scenario test-data generator

AML scenario test-data generator is a free browser tool that produces generate labeled synthetic transactions and exact below, at and above boundary expectations from approved amount or count rules from case reference and your policy reference. Up to twenty rules.

Free. No account or payment needed.

Prepare your case and original evidence. All mechanical checks run in this browser.

Case and approved rules

Generate labeled synthetic transactions and exact below, at and above boundary expectations from approved amount or count rules.

For each isolated rule, generate three deterministic scenarios using a one-cent amount step or one-transaction count step. Preserve direction, currency, declared start date, window and expected operator behavior. Export complete generated transaction CSV and JSON without executing a live engine.

Original evidence files

Up to 20 files, 10 MB each and 25 MB total. Original bytes stay in this browser until explicitly selected for separately approved account saving.

No original files selected. Source references without retained originals remain unresolved.

Evidence source references

Record exact local file IDs, source locators and customer verification. An annotation does not authenticate its contents.

Original evidence source references (0)

Task-specific review records

Exact customer-approved rules (0)
Advanced exact JSON inputs

Up to twenty rules. Amount thresholds must be at least one cent; count thresholds are 2 through 20. Each fixture isolates one rule and one account inside the declared window. Real customer data, model inference, ingestion tests and interacting-rule expectations are outside this generator.

Sources and review boundary

  • BSA/AML Independent Testing

    Risk-based testing and workpapers support documented program review. An isolated synthetic fixture or change record does not establish monitoring effectiveness.

Earlier generic workspace data remains separate. This dedicated editor does not overwrite historical purchases or earlier storage.

What does the aml scenario test-data generator produce?

Generate labeled synthetic transactions and exact below, at and above boundary expectations from approved amount or count rules.

Use the task-specific inputs and exact original evidence files above to prepare and review this tool in your browser. Inspect the complete named findings and scope limits before preparing the formal pack. Save unfinished work and retain the complete recovery ZIP. Customer applicability, approvals and evidence quality require responsible review.

What do you need before you start?

  • Define the selected source population and your exact policy.
  • Keep the original files and source pointers used for every finding.
  • Resolve missing inputs and inspect unresolved findings before export.

What information do you enter?

The released tool must ask only for information needed by this bounded task.

  • Case reference, organization, subject, responsible reviewer, preparation date and selected scope.
  • Your policy reference, version, approver, approval date and exact supporting source IDs.
  • Original file IDs, names, byte lengths and SHA-256 hashes with source locators, dates, custodians and verification assertions.
  • Start On
  • Rules rows / reference
  • Rules rows / label
  • Rules rows / metric
  • Rules rows / operator
  • Rules rows / threshold Amount
  • Rules rows / threshold Count
  • Rules rows / currency
  • Rules rows / window Days
  • Rules rows / direction
  • Rules rows / source IDs rows

What you can download

Every result must identify its supplied facts, assumptions and unresolved items.

Free resultIncluded downloads

Enter your information, inspect the on-screen result and keep a browser backup.

Editing and direct copies of your entered information stay free.

  • Generate labeled synthetic transactions and exact below, at and above boundary expectations from approved amount or count rules.
  • Complete findings, exact task facts, mechanical counts and unresolved evidence gaps in Word, PDF, CSV and Excel.
  • A source manifest binds the approved policy, public method sources, original file hashes and every supplied source pointer.
  • A complete recovery ZIP retains unfinished drafts, prepared results and exact originals with a hashed delivery manifest.

These supported outputs are free. No checkout is required.

Fictional review report (PDF). Editable review (DOCX). Complete fictional pack (ZIP). Requires tailoring and responsible review. Samples use the finalized renderer.

How does the aml scenario test-data generator work?

  1. 1
    Define the selected task

    Generate labeled synthetic transactions and exact below, at and above boundary expectations from approved amount or count rules.

  2. 2
    Record exact task facts

    For each isolated rule, generate three deterministic scenarios using a one-cent amount step or one-transaction count step. Preserve direction, currency, declared start date, window and expected operator behavior. Export complete generated transaction CSV and JSON without executing a live engine.

  3. 3
    Inspect complete findings

    Review source links, exact calculations and every unresolved finding.

  4. 4
    Keep recoverable work

    Save unfinished work and exact original bytes in this browser. A complete ZIP restores the accepted workspace and original files after integrity checks. Original checkpoints and purchased archives remain separate. Restore grants no payment or execution authority. Reprepare after rejected recovery before checkout.

  5. 5
    Prepare the completed pack

    Eight core files, one member per retained original, plus any method-generated chart, synthetic data, approved draft or reporting artifact. The real component calculates the exact prepared count. Downloads are free.

Common questions

What information does the aml scenario test-data generator need?

Enter case reference, organization, subject, responsible reviewer, preparation date and selected scope; your policy reference, version, approver, approval date and exact supporting source IDs; original file IDs, names, byte lengths and SHA-256 hashes with source locators, dates, custodians and verification assertions; start On; rules rows / reference. Define the selected source population and your exact policy.

What does the aml scenario test-data generator produce?

Generate labeled synthetic transactions and exact below, at and above boundary expectations from approved amount or count rules. Complete findings, exact task facts, mechanical counts and unresolved evidence gaps in Word, PDF, CSV and Excel. A source manifest binds the approved policy, public method sources, original file hashes and every supplied source pointer. A complete recovery ZIP retains unfinished drafts, prepared results and exact originals with a hashed delivery manifest. Review unresolved findings and limitations before use.

Who makes the final decision?

A responsible person reviews the result. Up to twenty rules. Amount thresholds must be at least one cent; count thresholds are 2 through 20. Each fixture isolates one rule and one account inside the declared window. Real customer data, model inference, ingestion tests and interacting-rule expectations are outside this generator.

Is this tool free?

Yes. The on-screen result and listed downloads are free. No checkout is required. Keep local backups and review the stated method and limits.

Can I use the aml scenario test-data generator for this task?

Generate labeled synthetic transaction scenarios from rules for testing data. Up to twenty rules. Amount thresholds must be at least one cent; count thresholds are 2 through 20. Each fixture isolates one rule and one account inside the declared window. Real customer data, model inference, ingestion tests and interacting-rule expectations are outside this generator.

What still needs review?

Up to twenty rules. Amount thresholds must be at least one cent; count thresholds are 2 through 20. Each fixture isolates one rule and one account inside the declared window. Real customer data, model inference, ingestion tests and interacting-rule expectations are outside this generator.