Behavioral Health Providers Navigate the ‘Supplemental Phase of AI’
By Laura Lovett | September 30, 2026
For many behavioral health organizations, AI adoption is no longer merely aspirational; it is essential for advancing care and mitigating clinician burnout. Currently, most providers utilize AI for back-end support, but the future holds the potential for AI to enhance clinical decision-making, patient support, and even value-based contracting.
However, we are still in the early stages, and providers are learning to implement AI strategies while maintaining a focus on clinical care and ensuring safeguards are in place.
“There’s never been a more critical time for us to seriously study both the short-term and long-term impacts of these tools,” said Dr. Jenna Glover, Chief Clinical Officer at Headspace, during a Behavioral Health Business webinar. “...we are in the supplemental phase of AI. People are using these tools without a full understanding of their implications. Organizations must exercise caution and ensure that purpose-built tools have at least some supporting evidence.”
Headspace, a virtual behavioral health provider offering therapy, coaching, and a meditation app, was recently acquired by Sword Health.
Considerations when Implementing AI Strategies
Glover emphasized several key considerations:
- Define an AI North Star: Organizations should have a clear, shared vision for AI integration.
- Assign Clinical Ownership: It's crucial to designate individuals responsible for AI tools, not just product owners, and to ensure accountability for failures.
- Establish Boundaries: Recognize that AI tools will fail, and have a plan for identifying and minimizing these failures.
"It is naive to assume AI won't fail," Glover noted. "Who is responsible for pausing or addressing these failures?"