Artificial Intelligence is rapidly transforming mental healthcare. But is it ready to support patients, or are we moving faster than safety and ethics can keep up?
In this insightful episode of AI Biz, host Avik is joined by Jai Agarwal, Co-founder of Thrive360 AI, and Saroni Kundu, a mental health clinic owner, to explore one of healthcare's most important questions: How can AI improve mental health without replacing the human connection at the heart of therapy?
The conversation explores the growing use of AI in therapy, from clinical note-taking to between-session support, while addressing the concerns many therapists have about privacy, ethics, regulation, and patient safety. Jai and Saroni explain why AI should act as a trusted assistant to clinicians rather than a replacement, and how thoughtful implementation can improve care while keeping therapists firmly in control.
Whether you're a healthcare professional, AI founder, policymaker, or simply curious about the future of mental health technology, this episode offers a balanced and practical perspective on responsible AI adoption.
About the Guests:
Jai Agarwal
Jai Agarwal is the Co-founder of Thrive360 AI, creator of Cora, an AI-powered therapy assistant designed to help clinicians extend care safely beyond therapy sessions. His work focuses on responsible AI development, clinical collaboration, and improving mental health outcomes through technology.
Saroni Kundu
Saroni Kundu is a mental health clinic owner in the United States, leading a team of therapists dedicated to expanding access to quality mental healthcare. She has been actively integrating AI tools into clinical practice to improve therapist efficiency while maintaining safe, ethical, and patient-centered care.
What You'll Learn:
- Why AI should support therapists instead of replacing them
- The biggest concerns clinicians have about AI adoption
- How AI note-taking reduces administrative burden
- Why therapist oversight remains essential
- The importance of ethical AI in mental healthcare
- How AI can provide between-session support for clients
- Why regulation and clinical validation matter
- What the future of AI in mental health could look like
Key Takeaways:
- AI works best as a clinical assistant, not as a therapist.
- Human connection remains the foundation of effective mental healthcare.
- Responsible AI requires strong ethical guardrails.
- Clinician trust is essential for successful adoption.
- AI can reduce documentation fatigue and improve workflow.
- Between-session support may improve treatment engagement.
- Safety, transparency, and validation must guide every AI solution.
- Collaboration between clinicians and developers leads to better patient outcomes.
Chapters:
00:00 Introduction to AI and mental health
02:40 Meet Jai Agarwal and Saroni Kundu
05:00 Why AI entered clinical mental healthcare
09:00 Therapist adoption and implementation challenges
13:00 Patient safety, ethics, and AI guardrails
17:00 AI note-taking and clinician workflow
20:00 Between-session support for therapy clients
23:00 The future of AI in mental healthcare
25:00 Final thoughts and key takeaways
Guest Resources:
🌐 Thrive360 AI
- Cora AI Therapy Assistant
- AI-powered mental health support
- Clinical AI solutions
- Mental health innovation
Mental Health Practice:
- Therapist-led behavioral health services
- AI-assisted clinical care
- Patient-centered mental health support
Memorable Quote:
"The future of AI in mental health isn't replacing therapists. It's helping them care for people more effectively and safely."
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