Structured intake
The system collects information through controlled questions, document prompts and evidence fields. This reduces reliance on loose email chains and informal notes.
Methodology
AI prepares and challenges the file. Humans make the decision.
CompliantID is designed around human accountability. AI supports evidence review, gap finding and decision preparation, but the MLRO and compliance team retain final control.
Explainable risk scoring
Scores are built from visible factors such as customer type, ownership, geography, product risk, wallet exposure and evidence quality. Reviewers can see what drove the score.
AI analyst review
The first AI review summarises the case, highlights gaps and prepares draft notes. It is designed to assist an analyst, not replace one.
AI challenge review
The second AI review challenges the first. It looks for weak rationale, unsupported conclusions and reasons the case may need escalation.
Human decision record
The MLRO or authorised reviewer records the decision, rationale, conditions and next review date. The system records the file version at the decision point.
Audit pack export
The final record can be exported so the decision trail can be reviewed by senior management, auditors, banks, investors or advisers.
Risk dimensions
Risk scoring should be visible, challengeable and connected to evidence.
CompliantID can be configured around the firm’s own risk framework. The aim is not to force one universal score. The aim is to make the reason for the score clear.
Customer type
Ownership complexity
Jurisdiction
Product risk
Delivery channel
Wallet exposure
Expected activity
Actual activity
PEP exposure
Sanctions proximity
Adverse media
Evidence quality
Human oversight
What the system does not do.
- It does not approve or reject clients without human review.
- It does not decide whether to file a suspicious activity report.
- It does not provide legal advice or regulatory advice.
- It does not guarantee that a firm is compliant.
- It does not replace the MLRO, board or senior management.
Why this matters
Every file should be complete, challenged and reviewable before the MLRO signs off.
CompliantID gives the MLRO a better prepared file. It gives senior management clearer information about financial crime risk. It gives auditors and advisers a cleaner decision trail to work from.
Book a product walkthrough
See how an AML file becomes an audit ready decision record.
Share the type of firm you support, your current review process and the main evidence problem you want to solve. We will show the workflow around your use case.
KYB and CDD workflow
AI review and challenge
MLRO decision log
Audit pack export