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.
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, 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 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.
Share your AI governance goals, regulatory priorities, and deployment needs. Our team will help you evaluate the right controls, architecture, and rollout approach.
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