TrustX
A Trust Exchange to Verify, Deploy and Test Agentic AI
Open, collaborative, and designed to establish trusted AI deployment across healthcare and financial services with future industry domains to follow.
Key Partners
Health Innovation Kent Surrey Sussex
Lead Use-Case Host
One of England's Health Innovation Networks, connecting NHS partners to create conditions for safe, scalable agentic AI solutions.
Cambridge Trustworthy AI Lab (TRACE)
Academic Research Partner
Providing AI ethics expertise, trust model design, benchmarking, evaluation methodology and peer-reviewed validation.
Responsible AI Institute
Framework & Infrastructure Partner
Developer of the Agentic AI Trust Score, curator of 1,100+ AI governance controls, and provider of badge infrastructure.
King’s Fund
Impact & Outcomes Research Partner
Adds critical research on AI’s impact across services, staff, and patient experience.
TrustX Health: A Joint Framework Across Practice, Policy & Research
The TrustX Score is created through a collaborative effort between the Responsible AI Institute, Health Innovation Kent Surrey Sussex, the Cambridge Trustworthy AI Lab (TRACE) and the King's Trust—combining applied trust practices, regulatory governance, and technical research into a unified, evidence-based trustworthiness metric. As the NHS rapidly adopts Agentic AI, this effort will bridge trust between, developers, vendors and customers
Alignment with NHS "Fit for the Future" Plan
Hospital to Community
Moving care from hospitals to community settings through neighborhood health services and integrated teams
Analogue to Digital
Transforming workflows, improving patient access with digital and AI tools, and implementing shared care records
Sickness to Prevention
Stronger emphasis on early detection, health promotion and avoiding disease progression
The Problem: The AI Trust Gap in Healthcare
- Patient safety & clinical harm
- Data privacy & security
- Operational & financial errors
- Bias, fairness & equity
- Accountability & governance gaps
- Robustness & model drift over time
- Trust, consent & public confidence
The Solution: The TrustX Framework & Badge
1. Open, community developed, and grounded in peer reviewed research.
2. Aligned with global AI safety, healthcare, and regulatory standards.
3. Clear, actionable scoring that strengthens workflows and reduces risk
4. Benchmarking across vendors, models, and agent types for true comparability.
5. Built and validated from real world healthcare use cases and operational environments.
The Solution: The TrustX Framework & Badge
1. Open, community developed, and grounded in peer reviewed research.
2. Aligned with global AI safety, healthcare, and regulatory standards.
3. Clear, actionable scoring that strengthens workflows and reduces risk
4. Benchmarking across vendors, models, and agent types for true comparability.
5. Built and validated from real world healthcare use cases and operational environments.
Upcoming News & Events
No upcoming events at this time.
TrustX is a national, community-driven AI assurance initiative that provides a shared, open framework for verifying, testing, and monitoring agentic and generative AI systems across high-trust industries such as healthcare and financial services.
TrustX was developed to address the gap between rapidly advancing Agentic AI systems and the need for transparent, evidence-based oversight. It helps organizations understand how AI behaves in real-world settings and supports safe, scalable adoption.
TrustX Health is a nationally coordinated initiative designed to evaluate the trustworthiness of Agentic AI systems used in NHS clinical and operational environments. It was created to address the lack of a standardized, scientifically grounded method for assessing whether autonomous or semi-autonomous AI behaves safely, reliably, and in alignment with NHS expectations — a need highlighted by the NHS 2025 “Fit for the Future” Health Plan.
Organizations can submit Agentic AI systems for structured assessment through a five-stage workflow: declaration capture, ACC and governance mapping, dimension-level evaluation, trust score calculation, and verification with potential badge issuance. NHS providers, suppliers, and innovators can also participate in research, contribute to evolving scoring criteria, and take part in piloting assessments across clinical and operational workflows.
TrustX for Payments (coming soon)
TrustX for Payments will introduce shared criteria for evaluating autonomous transactions, agent permissions, and fraud safeguards—supporting the safe adoption of agentic commerce and next-generation payment protocols.