Headway Acquires Tezi Team to Reduce Administrative Burden in Mental Health Care
Headway, which operates the largest mental health provider network in the U.S., has acquired the team behind Tezi, an AI company focused on combining human judgment with automated workflows. The move brings engineering and AI talent to Headway's platform, where the team will focus on reducing administrative friction for both patients and clinicians.
The acquisition addresses a concrete problem: mental health providers spend significant time on operational tasks-insurance verification, scheduling, documentation-rather than patient care. Patients, meanwhile, struggle to find the right clinician and navigate coverage. Headway plans to use the Tezi team's expertise to automate these operational tasks.
Raghavendra Prabhu, Tezi's cofounder, joins Headway as Vice President of Engineering. Prabhu previously built systems at Google, Microsoft, Twitter, Pinterest, Thumbtack, and Covariant. His team includes engineers, designers, and data scientists from Tezi.
"What stood out about Headway is the commitment to applying AI thoughtfully in a way that strengthens the human aspects of care," Prabhu said in a statement.
The distinction matters: Headway frames AI as a tool to remove friction, not replace clinicians. Examples include helping patients schedule appointments more quickly and managing administrative logistics so providers stay focused on sessions.
Headway operates in all 50 states and Washington, D.C., with more than 70,000 providers in its network. The company has raised funding from Andreessen Horowitz, Accel, Spark Capital, and other investors.
The integration will place the Tezi team within Headway's broader engineering and product organization, working alongside clinical and operational leadership to ensure systems are built responsibly and improve outcomes for both patients and providers.
For healthcare professionals evaluating AI tools, this acquisition reflects a growing pattern: companies applying AI to reduce operational overhead rather than clinical decision-making. Learn more about AI for Healthcare and how AI Agents & Automation are being deployed in practice.
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