- Model InputTo make sure the models are reacting the way they should, we monitor every form of data that enters in the AI system.
- Decision TracebackWe trace every decision the model makes, step by step, so we can see how it reached a specific output.
- Internal Logic MappingWe initiate model process breakdowns to ensure data that has been intact is linked with sensful information.
- Risk and Confidence ScoringWe assign confidence levels and highlight potential risks for each AI behavior detection systems in USA, helping businesses understand how reliable the prediction is and where caution may be needed.
- Feedback IntegrationWe use reviews from human experts or audit teams to fine-tune the explanations, making sure future outcomes are even clearer and more trustworthy.
- Human-Readable JustificationWe make AI Powered Behavioral Analysis user-friendly so that results are translated into simple, business-friendly language that explains why the AI acted a certain way.