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Today, we’re unveiling our principled approach to artificial intelligence (AI)—establishing a new industry benchmark for how AI can ethically and effectively enhance mental healthcare.
Rooted in science and guided by empathy, Spring Health’s AI is seamlessly embedded across our fully integrated mental health and workplace wellness platform—including a purpose-built EHR, personalized member app, and real-time employer analytics.
This unified system delivers more than just a connected experience. It drives the fastest recovery times in the industry and sets a new standard for ROI, all while preserving the trust, transparency, and human connection that define exceptional care.
“AI can transform mental healthcare—but only if it’s built with integrity, not hype,” says Gijo Mathew, Chief Product Officer at Spring Health. “Our AI is designed to be powerful and principled. It’s grounded in clinical evidence, ethically governed, and built to support the essential human elements of care.”
A responsible, real-world approach to AI
Unlike generic or experimental AI offerings, Spring Health’s approach is based on nearly a decade of clinical insights and real-world outcomes. This foundation enables high-impact features like intelligent intake guidance, in-the-moment support, personalized care recommendations, and clinical decision support—all designed to improve outcomes and reduce friction across the care journey.
Built to strengthen, not substitute
Spring Health’s AI is built to enhance—not replace—the work of therapists. It supports human care by streamlining intake, surfacing meaningful insights, and giving providers more time to focus on what matters most: deep, human connection.
Transparent, ethical, and accountable
Spring Health is guided by an AI Advisory Council—comprising highly specialized external experts in mental health, ethics, and technology, alongside visionary customers and leading clinicians—ensuring our AI is built to be ethical, inclusive, and deeply impactful in clinical care. Through its internal ethics reviews and clinical validation processes, Spring Health holds every AI use case to the highest global standards for fairness, safety, and effectiveness. All applications are fully consent-based, privacy-safe, and rigorously monitored.
In addition, Spring Health enforces a robust set of technical and clinical guardrails to ensure safety at every step:
- Risk-aware design that prevents AI from making autonomous clinical decisions
- Human-in-the-loop systems that ensure oversight and allow clinicians to review or override AI-generated content
- Rigorous monitoring and feedback loops to continually assess model performance and equity
- Strict data access controls and a clear separation between model training data and sensitive clinical interactions
“Ethical AI isn’t a side initiative—it’s the backbone of our platform,” says Marissa Saunders, Director of AI and Machine Learning at Spring Health. “Our models are co-developed with clinicians, trained on real outcomes, and built to serve people in their most vulnerable moments—with transparency, empathy, and accountability at the core.”
Enabling a smarter, more equitable mental health system
Spring Health’s integrated technology stack enables frictionless, connected experiences across members, providers, and employers. Members receive timely, personalized support. Providers gain meaningful insights that strengthen therapeutic care. Employers get real-time, privacy-safe intelligence to guide investment in workforce wellbeing.
Recent results from Spring Health’s 2025 research participant study reinforce the impact of this responsible AI approach: 95% of users report satisfaction with the platform’s AI tools, 70% say they feel better after engaging with them, and there have been zero major safety concerns—due to timely escalation to live clinical support.
Spring Health is not just deploying AI. We're redefining how it can and should work in mental health: clinically grounded, human-first, and built for trust at scale.
Explore Spring Health’s approach to responsible AI.
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