Combine the power of AI automation with the critical judgment of your human experts. Our framework ensures accuracy, compliance, and optimal handling of exceptions and complex cases.
Our Human-in-the-Loop framework empowers organizations to automate at scale while maintaining the highest levels of accuracy and control for critical tasks.
Achieve near-perfect accuracy on critical tasks by leveraging human reviewers for low-confidence AI predictions or complex edge cases.
Streamline the handling of exceptions by automatically routing them to the right human expert with all necessary context, significantly reducing resolution time.
Human feedback on exceptions is used to continuously retrain and improve the underlying AI models, reducing the need for future human intervention.
Our platform provides robust tools to manage the interaction between automated processes and human reviewers seamlessly.
Define precise rules based on confidence scores, data fields, business logic, or regulations to determine when tasks should be automatically routed to human reviewers.
Provide human reviewers with clear, intuitive interfaces tailored to the specific task. Display relevant context, highlight potential issues, and simplify decision-making.
Human decisions on exceptions are captured and used as training data to continuously improve the accuracy and confidence of the underlying AI models.
Maintain full traceability for every task, including whether it was handled by AI or a human, who reviewed it, when, and what decision was made. Essential for compliance.
See how our platform seamlessly manages tasks between AI and human experts for optimal outcomes.
Automation workflow starts. AI attempts to process the task (e.g., extract data, make a decision) and calculates a confidence score.
The system checks if the confidence score is below a defined threshold or if a specific business rule requires human oversight.
If needed, the task is automatically routed to the appropriate human expert's queue based on skill, availability, or priority.
The reviewer uses the provided interface and context to make a decision, correct data, or complete the task.
The human decision is logged and fed back to improve the AI. The workflow continues with the validated information or decision.
See how Blackstone's Human-in-the-Loop framework can help you automate complex processes confidently while maintaining accuracy and control. Schedule a demo today.