Behind every digital mental health innovation is a human story—a person in quiet distress, a clinician navigating complexity, a system striving to do better with the tools it has. As we expand access through AI, apps, and hybrid models, the question we must keep asking is: Are we building systems that are not just scalable and efficient, but safe, equitable, and profoundly human? This keynote invites us to pause and reflect—not just on what we can build, but how we build it, and for whom. Drawing on over 20 years of clinical experience and a decade at the forefront of digital mental health innovation—including my current role as Chief Psychologist at Wysa, a global platform that blends AI-enabled self-support with trained human professionals—I share insights from the frontlines. These are stories, lessons, and frameworks born from designing, supervising, and scaling care that reaches millions, while holding fast to the core values of clinical integrity, ethical responsibility, and contextual relevance. 1. Clinical Safety in AI and Human-Led Care Safety is foundational—not a feature to be added later. At Wysa, we’ve built tiered clinical safety protocols across both AI and human-led care. From real-time risk detection in AI conversations to escalation pathways supported by trained professionals, I’ll share how safety can be thoughtfully embedded, including: Structuring clinical governance and risk review in digital ecosystems Managing clinical boundaries and complex presentations in asynchronous care Designing escalation workflows that are trauma-informed and context-sensitive 2. Equity in Design, Access, and Delivery Digital mental health has immense potential—but only if it includes those historically excluded from traditional care. At Wysa, we’ve built for low-bandwidth, multilingual, and high-stigma environments—serving users in over 90 countries. I will share: How we design for inclusion from the ground up Addressing algorithmic bias in AI tools through clinical oversight Partnering with public and employer systems to reach underserved populations Co-creating tools with service users, rather than assuming their needs 3. Clinician Competency, Training, and Supervision Technology cannot replace human judgment, empathy, or clinical wisdom. At Wysa, our clinicians are not just service providers—they are collaborators in shaping care. I’ll explore: Training models for clinicians working in AI-augmented environments Supervision structures that support ethical, reflective practice Preparing clinicians to lead and innovate, not just adapt to digital systems Nurturing a workforce capable of navigating the evolving ethics of digital care 4. Clinicians as Co-Designers of Innovation Effective digital mental health products must be built with clinicians, not just for them. I will share examples of cross-functional collaboration at Wysa—where clinical insights influenced everything from tone of AI conversations to escalation logic. We’ve seen that when clinicians are at the table early, safety and empathy scale better.