Governance Advisory
Design a healthcare-ready AI governance strategy, operating model, review workflows, and stakeholder alignment plan that moves pilots into controlled production environments.
Build safer, audit-ready AI programs for healthcare organizations and health systems with governance embedded directly into models, copilots, and agents. Trussed AI helps compliance, security, and innovation teams enforce policies in real time, protect sensitive data, and maintain visibility across clinical, operational, and administrative AI use cases.
Governance, control, audit, and oversight solutions for healthcare AI deployments at enterprise scale.
Design a healthcare-ready AI governance strategy, operating model, review workflows, and stakeholder alignment plan that moves pilots into controlled production environments.
Enforce runtime governance across AI apps, agents, and developer tools with centralized policies, audit logs, security controls, and continuous monitoring.
Authorize tool calls, data access, and workflow triggers before execution so agentic AI stays within approved healthcare policies and operational boundaries.
Generate continuous audit evidence with full traces, policy evaluation records, timestamps, and data lineage for internal reviews and regulatory examinations.
Track AI spend by team, workflow, and provider while enforcing budgets and optimizing model selection for cost and performance.
Support HIPAA-aligned, regulator-ready AI operations with real-time guardrails, access controls, and monitoring built into everyday usage.
Healthcare organizations need more than static AI policies. Trussed AI helps health systems apply governance where decisions happen, across copilots, agents, and workflows handling sensitive operational and patient-related data. With real-time enforcement, continuous monitoring, and audit-ready records, teams can scale innovation while strengthening compliance, reducing manual review effort, and improving oversight across regulated environments.
Healthcare leaders need governance that works in production, not just on paper.
Policies are enforced during live AI interactions, not after risky outputs or actions occur.
Built for regulated environments where HIPAA, auditability, and sensitive data controls matter daily.
Continuous evidence generation supports compliance teams, internal audit, and external healthcare reviews.
Founded by leaders from Google Cloud, AWS, Microsoft, Adobe, and other enterprise platforms.
Experienced founders building governed enterprise AI infrastructure.
Co-Founder
Ajay Dankar is Co-Founder of Trussed AI and brings nearly three decades of cloud product and engineering leadership to enterprise AI governance. His background includes senior roles at Google Cloud, AWS, Adobe, and PayPal/eBay, where he worked on large-scale infrastructure, reliability, and cost optimization challenges. At AWS, he led product management for Elastic Load Balancing, helping drive broad adoption and operational savings. He also founded Finsphere, later acquired by Visa, where he helped pioneer fraud detection using mobile location data. That blend of infrastructure depth and financial risk innovation informs Trussed AI's approach to governed, production-ready AI. Ajay holds a master's degree in Electrical Engineering and Computer Science from the University of Florida and a Bachelor of Technology from IIT Delhi.
Co-Founder
Branden McIntyre is Co-Founder of Trussed AI and focuses on infrastructure that helps enterprises deploy AI reliably at scale. Across product roles at Rakuten, Cisco, JustAnswer, and Oracle, he saw the same recurring issue: organizations could experiment with AI, but lacked the controls and operational tooling needed for safe production deployment. At Rakuten and JustAnswer, he led AI prediction initiatives that improved customer experience and platform efficiency, giving him firsthand insight into the governance gaps that emerge as models move into real workflows. His work today centers on helping enterprises implement AI systems safely, effectively, and with stronger operational discipline. Branden holds an MBA from UC Berkeley Haas and a Master of Science from New York University.
Co-Founder
Sunita Reddy is Co-Founder of Trussed AI, where she leads AI, operations, and partner strategy for enterprise adoption of generative and agentic AI. With more than two decades of experience across product, AI, and design, she specializes in turning emerging technologies into scalable enterprise solutions. At JustAnswer, she led initiatives that integrated large language models into core workflows, including copilots, conversational interfaces, and human-in-the-loop systems that improved engagement and accuracy. Earlier roles at Microsoft and Accellion involved product innovation, unified communications, and strategic partnerships with major technology providers. She also holds multiple patents in location-based fraud detection, adding valuable perspective for regulated industries managing risk-sensitive AI use cases. Sunita holds graduate and undergraduate engineering degrees from the University of Maryland and Osmania University.
AI is used in healthcare compliance to monitor policy adherence, flag risky behavior, document decisions, and support audit readiness across clinical, operational, and administrative workflows. Effective governance platforms can log interactions, enforce access controls, track data lineage, and apply rules in real time so organizations maintain oversight while scaling AI use across teams and systems.
Speak with our team about secure, compliant healthcare AI deployment.
Validated controls for security and operations.
International standard for information security.
Built for regulated healthcare AI oversight.
Share your AI use cases, compliance priorities, and deployment goals. Our team will help you evaluate the right governance approach for your healthcare organization or health system.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.