Intrepid Phoenix Ventures, Inc., an Indiana-based corporation headquartered in Mishawaka, is pleased to announce it has been awarded a Department of Defense (DoD) SBIR Phase I Grant through the Chief Digital and Artificial Intelligence Office (CDAO).
The grant supports a pioneering research and development initiative titled: “Generative AI for Addiction Recovery: Enhancing Personalized Engagement, Outcomes, and Predictive Relapse Prevention.”
This data-intensive project is a collaboration between Intrepid Phoenix Ventures and the Indiana University School of Social Work (IUSSW). The primary goal is to develop a generative AI-powered recovery support tool that provides personalized recovery track management for individuals with substance use disorders (SUD).
This initiative represents a transformative opportunity to apply generative AI to enhance core behavioral health functions—such as analysis, planning, and decision-making. Recent advances in AI have shown promise in peer support platforms, patient-facing chatbots, and predictive behavioral modeling. Building on these developments, the project will design an AI-embedded recovery tool that works in partnership with individuals at risk and their clinicians. The tool will support individuals experiencing mental health challenges, SUD, or co-occurring disorders by facilitating user engagement, aiding clinician decision-making, and enabling continuous monitoring and evaluation of therapeutic strategies.
The system will monitor recovery progress over time, providing clinicians with feedback loops to refine interventions and enhance accountability in care delivery. This approach not only empowers individuals in their recovery journeys but also strengthens the precision and responsiveness of the broader behavioral health system.
The research team is also committed to addressing the ethical and practical challenges associated with deploying AI in mental health and SUD contexts—particularly those related to data privacy, algorithmic bias, and the need for human oversight. To ensure safety and alignment with person-centered care principles, the project is grounded in a human-in-the-loop framework, ensuring that AI-generated insights remain contextually appropriate and ethically sound.
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