Governance Advisory
Design a practical governance strategy for HR technology and recruitment platforms, including operating models, approval workflows, stakeholder alignment, and deployment planning for production-ready AI systems.
Build safer, audit-ready AI into hiring and HR workflows with governance designed for recruitment platforms, copilots, and agents. Trussed AI helps teams enforce policies in real time, reduce manual oversight, and maintain visibility across candidate screening, data access, and automated decisions without slowing product delivery.
Governance solutions for HR platforms deploying AI across recruiting, screening, workflows, and compliance operations.
Design a practical governance strategy for HR technology and recruitment platforms, including operating models, approval workflows, stakeholder alignment, and deployment planning for production-ready AI systems.
Enforce runtime policies across AI apps, agents, and developer tools with centralized controls, audit logging, security guardrails, and continuous visibility into usage, risk, and performance.
Control agent actions before tool calls, data access, and workflow triggers so recruiting assistants and HR agents operate within approved boundaries in real time.
Generate continuous audit evidence for AI-driven hiring and HR workflows with traceable records, policy evaluations, timestamps, and decision lineage for internal and external reviews.
Track and control AI spend across teams, models, and workflows with real-time attribution, budget thresholds, and routing decisions that balance performance with cost efficiency.
Connect governance capabilities into existing HR technology stacks through flexible integrations, deployment options, and partner ecosystems that support enterprise-scale adoption.
Trussed AI helps HR technology providers and recruitment platforms move beyond static policies by enforcing governance where AI decisions actually happen. From candidate screening and recruiter copilots to agent-driven workflows, the platform adds real-time controls, auditability, and cost visibility so teams can scale innovation while protecting sensitive workforce data and supporting compliance expectations.
Built for organizations that need AI governance to work in production, not just on paper.
Policies are enforced during live AI interactions, not left as static documentation.
Every governed action creates traceable evidence for hiring reviews, compliance teams, and audits.
Founders bring deep product and infrastructure experience from Google Cloud, AWS, Microsoft, and more.
Choose managed or self-managed deployment to fit security, data handling, and platform requirements.
Experienced builders behind governed enterprise AI.
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.
Algorithm governance is the framework of policies, controls, oversight, and accountability used to manage how AI and automated decision systems are designed, deployed, monitored, and audited. In HR technology, it helps ensure hiring models, recruiter copilots, and workflow agents operate within approved rules, protect sensitive data, and produce traceable records for compliance, internal review, and risk management.
Speak with our team about controls, compliance, and deployment options.
Tell us about your recruitment or HR technology use case, current AI workflows, and governance goals. Our team will help you evaluate the right controls, deployment model, and path to audit-ready operations.
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.