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MontoHealth Builds AI Action Layer to Automate Patient Workflows

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MontoHealth Builds AI Action Layer to Automate Patient Workflows

San Francisco -- October 1, 2026 -- MontoHealth is developing an AI-driven action layer designed to execute routine healthcare tasks—not just discuss them—across existing hospital and clinic software systems.

MontoHealth targets the gap between digitized records and automated work

Despite two decades of healthcare digitization, tasks such as rescheduling an appointment, routing a prescription refill, coordinating a referral or resolving an insurance query still require manual phone calls and handoffs across disconnected systems. Healthcare organizations typically operate EHRs, scheduling platforms, billing systems and patient portals as separate applications, each governed by distinct privacy and security controls. MontoHealth argues that digitizing a workflow has not equated to automating it, leaving staff to perform the connective work between systems.

The platform aims to act across systems rather than add another dashboard

Rather than introducing a new standalone application, MontoHealth is building a layer that can operate across a healthcare organization's existing systems—interpreting requests, coordinating multi-step workflows and executing permitted actions within defined boundaries. The company states its objective is not another interface for staff to manage, but reduced manual work between the interfaces already in use.

Initial focus covers patient-facing requests including refills, referrals and billing

MontoHealth's early development is centered on common patient interactions: appointment changes, prescription refills, referral follow-ups, billing and insurance questions, after-hours requests, and multilingual communication. The company positions the conversational interface as only the entry point; the underlying objective is for AI agents to carry the resulting task forward through connected systems under defined permission structures, with human review required where judgment or approval is necessary.

Research extends toward multi-agent coordination without unrestricted system access

MontoHealth's broader research agenda extends beyond patient communication into healthcare operations, data management and research workflows. The company is examining how specialized AI agents could coordinate tasks among themselves without granting any single agent or system unrestricted access or authority across the organization.

MontoHealth opens a Founding Physician Pilot Program to select healthcare organizations

The platform remains under active development. MontoHealth is inviting a limited group of healthcare organizations to join its Founding Physician Pilot Program, where participants will test early capabilities and help determine which workflows the platform addresses next.

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