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Reinforcement Learning with Expert Feedback 

Reinforcement Learning with Expert Feedback 

ExpertsLabel AI evaluates Agentic AI across multiple RL methods: 

RLHF: financial crime experts provide feedback 

RLAIF: evaluator models 
check logic 

Process Reward Models (PRMs): score each reasoning step

RLHF: financial crime experts provide feedback 



RLAIF: evaluator models 
check logic 



Process Reward Models (PRMs): score each reasoning step

Creating models that provide: 

Investigative Intelligence

  Think like investigators 

Our models emulate the sequential, critical thinking process of a human analyst, ensuring deeper, contextual analysis of complex financial scenarios.

  Self-Correct Errors

Utilizing advanced reinforcement learning (RL) techniques, the models continuously learn from false alarms and missed detections to rapidly improve performance over time.

  Minimise False Positives

Focus less on chasing false alarms. Our reasoning-grade logic drastically reduces irrelevant alerts, allowing human teams to focus only on genuine threats.


Guaranteed Accountability

  Provide Explainable Reasoning

Every decision is transparent. We provide a clear, step-by-step audit trail showing why the model reached its conclusion, eliminating the "black box" problem.

  Produce Regulator-Ready Output 

Outputs are formatted and structured to meet the strict documentation and audit requirements of financial regulators, minimizing manual reporting burden.

  Justify Decisions

Automated justification reports are generated for every alert, providing the necessary evidence and logic required for compliance officers to confidently sign off on actions.


Creating models that provide: 

Investigative Intelligence

  Think like investigators 

Our models emulate the sequential, critical thinking process of a human analyst, ensuring deeper, contextual analysis of complex financial scenarios.

  Self-Correct Errors

Utilizing advanced reinforcement learning (RL) techniques, the models continuously learn from false alarms and missed detections to rapidly improve performance over time.

  Minimise False Positives

Focus less on chasing false alarms. Our reasoning-grade logic drastically reduces irrelevant alerts, allowing human teams to focus only on genuine threats.

Guaranteed Accountability

  Provide Explainable Reasoning

Every decision is transparent. We provide a clear, step-by-step audit trail showing why the model reached its conclusion, eliminating the "black box" problem.

  Produce Regulator-Ready Output 

Outputs are formatted and structured to meet the strict documentation and audit requirements of financial regulators, minimizing manual reporting burden.

  Justify Decisions

Automated justification reports are generated for every alert, providing the necessary evidence and logic required for compliance officers to confidently sign off on actions.