Understand how confidence-gated autonomous approval allows AI to act independently on high-certainty decisions while routing uncertain cases for human review.
Confidence-gated autonomous approval is a framework within InferTrust™ (Patent Pending) that allows AI systems to act independently on decisions where the model's confidence exceeds a predefined threshold, while automatically routing lower-confidence decisions for human review.
Organizations configure a confidence threshold for each decision type. When the AI model produces an output, InferTrust™ evaluates the model's confidence score against the threshold:
The key differentiator is that the confidence score, threshold setting,and routing decision are all sealed in a tamper-evident record at inference time. This means organizations can prove to regulators that their confidence gates were actually enforced,not just configured,for every single decision. The signed record eliminates the need to rely on organizational attestations about threshold enforcement.
Confidence-gated autonomous approval is particularly valuable for health plans processing routine claims, financial institutions screening transactions,and any regulated organization seeking to automate high-certainty decisions while maintaining provable human oversight for uncertain cases.