AI co-pilots can assist with a wide number of use cases ranging from insurance verification to billing workflows. However, automated handling of large-volume unstructured data can jeopardize personal identifiers. Moreover, internal and third-party AI tools for administrative use cases can also lead to unfair or biased service denials and other such unethical consequences. Truyo helps mitigate these issues by enforcing features like de-identification, vendor assessment, bias detection, and more to ensure smart yet compliant AI-driven operations.  

AI-powered wearables and virtual assistants enable clinicians to remotely monitor patient vitals, symptoms, and recovery progress. If mishandled they can also lead to privacy breaches or over-monitoring. Truyo ensures this data is anonymized before AI processing. We also help put anti-surveillance checks in place to avoid excessive behavioral profiling.  

AI’s helping identify new molecules, optimize clinical trials, and tailor therapies to individual patients. Yet these advances come with complex data governance risks. Genomic data, clinical trial outcomes, and real-world patient inputs are sensitive by nature and often shared across institutions or vendors. Truyo helps healthcare organizations manage these risks by monitoring the integrity and safety of AI-generated outputs. This ensures that innovation in drug R&D remains transparent, explainable, and secure.  

Wellness chatbots, AI-powered companions for the elderly, and digital mental health assistants are making care more accessible. But they also operate in emotionally sensitive environments where bias, manipulation, or excessive monitoring can harm rather than heal. Truyo supports mental health use cases by embedding fairness audits into AI workflows. We help scan chatbot outputs for emotionally manipulative or unapproved responses, and ensure that personal conversations are anonymized before model training.