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CLPS Demonstrates 90%+ AML AI with Small LLM, Paving RegTech Growth

Sep 22, 2026, 8:50 AM EDT1 sourcesAI-analyzed

Why it may matterVerify against the original reporting

Milestone validation of a cost-efficient, scalable AI RegTech framework with regulatory compliance features; potential cross-sell to other banks could lift order intake if the model generalizes across use cases. Historical analogs show pilots translating into multi-year contracts when regulatory-grade explainability and HITL are demonstrated.

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What happened, with direct paths to the underlying reporting

CLPS announced the completion of an AI-assisted AML governance framework for a leading Chinese bank in the Hong Kong Gen AI Sandbox, achieving over 90% risk-rating accuracy with a fine-tuned small LLM. The project employs synthetic data, task decoupling, and a seven-dimensional scorecard with HITL to ensure explainability and auditability, signaling scalable RegTech solutions and potential productization across banks.

CLPS completes Generative AI AML framework for leading Chinese bank in HK Sandbox.
Fine-tuned small LLM achieves risk-rating >90%, outperforming larger models.
Synthetic data, task decoupling, seven-dimensional scorecard enable explainability.
March launch; scalable framework targets RegTech expansion in banking.
CLPS positions itself as cost-effective, production-ready AI RegTech provider.

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