Governance Advisory
Design governance strategies, operating models, review workflows, and stakeholder alignment programs that help pharmaceutical and life sciences teams move AI from pilots into controlled production use.
Build production-ready AI with governance embedded from the start for pharmaceutical and life sciences teams. Trussed AI helps organizations control models, copilots, and agents in real time, strengthen audit readiness, and reduce compliance risk across regulated workflows, from research and clinical operations to quality and medical affairs.
Governance, control, and assurance solutions for regulated AI use across pharmaceutical and life sciences environments.
Design governance strategies, operating models, review workflows, and stakeholder alignment programs that help pharmaceutical and life sciences teams move AI from pilots into controlled production use.
Deploy a centralized control layer that enforces policies in real time across AI apps, agents, and developer tools while maintaining visibility, audit logs, and regulatory alignment.
Control agent actions at execution time by authorizing tool calls, data access, and workflow triggers before they run, helping teams govern complex multi-agent systems safely.
Generate continuous audit evidence from every governed interaction, with traceability from prompt to output to action for internal reviews and external regulatory examinations.
Track AI spend across teams, models, and workflows in real time, enforce budgets automatically, and connect usage to business outcomes for stronger financial oversight.
Connect governance controls with existing cloud, model, and enterprise systems through flexible deployment options, SDKs, APIs, and partner integrations for faster adoption.
Trussed AI helps pharmaceutical and life sciences organizations operationalize AI governance where it matters most: at runtime. Instead of relying on static policies or manual reviews alone, the platform applies controls automatically across models, agents, and workflows. That means stronger oversight for sensitive data, clearer audit trails for regulated processes, and faster progress from experimentation to production across research, quality, and commercial operations.
See how governed AI helps regulated organizations deploy faster with stronger control and audit readiness.
Trussed AI combines governance strategy with runtime enforcement for high-stakes AI environments.
Policies are enforced in real time across models, agents, and workflows, not checked after the fact.
Supports regulated pharmaceutical and life sciences use cases with audit-ready records and continuous compliance monitoring.
Choose self-managed or managed deployment to fit enterprise security, validation, and infrastructure requirements.
Track usage, risks, costs, and decisions across AI systems used by regulated business and technical teams.
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, PayPal/eBay, and Finsphere, where he helped solve scaling, reliability, and cost challenges in complex production environments. At AWS, he led product management for Elastic Load Balancing, while at Adobe he drove cloud optimization initiatives across major platforms. He also pioneered fraud detection innovation as founder and CTO of Finsphere, later acquired by Visa. At Trussed AI, Ajay focuses on helping regulated enterprises operationalize generative and agentic AI with stronger control, resilience, and governance. He holds graduate and undergraduate engineering degrees from the University of Florida and 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 challenge repeatedly: organizations could experiment with AI, but lacked the tooling and controls needed for confident production deployment. His work leading AI prediction initiatives improved customer experience and platform efficiency, while also revealing the operational gaps between prototypes and governed systems. At Trussed AI, Branden applies that experience to building practical governance infrastructure for enterprises operating in regulated and high-risk environments. He helps customers move from fragmented oversight to enforceable controls across AI applications, agents, and workflows. 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. Her background includes leadership roles at JustAnswer, Microsoft, and Accellion, where she built AI-powered workflows, conversational systems, and strategic partnerships that improved engagement, accuracy, and business performance. She is also an inventor with multiple patents in location-based fraud detection. At Trussed AI, Sunita helps organizations identify high-impact AI use cases and implement governance that supports safe, effective deployment. She holds a Master of Science in Computer Engineering from the University of Maryland and a Bachelor of Science in Electrical Engineering from Osmania University.
AI governance in pharmaceutical and life sciences is the framework of policies, controls, oversight, and evidence used to manage how AI systems are built, accessed, monitored, and audited. It helps organizations control risk across regulated workflows, protect sensitive data, document decisions, and ensure AI use aligns with internal standards and external requirements throughout development and production.
Talk with our team about regulated AI controls and deployment.
Validated controls for security and operations.
Recognized information security management standard.
Supports structured AI risk management.
Share your AI governance goals, regulatory priorities, and deployment needs. Our team will help you evaluate the right controls, architecture, and rollout approach.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.