An APAC Top-10 Commercial Bank
Built a real-time cross-border risk & compliance foundation covering anti-fraud, AML and cross-border clearing audit end to end.
Outcome evidence & verification
Illustrative · unverifiedThis is an anonymised illustrative scenario. The metrics above have no client-authorised material, audit report or verifiable data source yet and are not a promise of achieved results. Actual outcomes depend on baselines and acceptance criteria confirmed in writing.
Operating across 12 countries, the client needed a unified intelligent risk and cross-border compliance backbone.
- 12-country data silos preventing a unified risk view
- Cross-border compliance rules differ widely; manual review exceeded 72 hours
- Legacy anti-fraud models detected new telecom-fraud scenarios at <60%
Deployed the Global AI DAO AI risk engine and on-chain transaction attestation layer across 5 regional nodes.
- Deployed the Global AI DAO AI risk engine with multimodal behavior models and GNNs
- Built a regional on-chain attestation layer; key events immutable on-chain
- Built a compliance rule-engine DSL covering 30+ jurisdictions
- ★Fraud detection accuracy +38%
- ★Cross-border compliance review time -62%
- ★Annualized cost savings of USD 9.2M
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Defined scope. Accountable delivery.
Staged pricing & acceptance
Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.
Customer business data stays off-chain
Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.
Clear contracting & delivery responsibility
Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.
