A concise summary detailing what this solution is, why it matters, and who it is designed to help.
Clinical, Data & AI Governance (Ethics, GDPR & Risk)
Establish robust governance frameworks for human-subjects research, GDPR-aligned data practices, and responsible AI.
Overview
We help organizations run nutrition and health work responsibly—especially when it involves people, sensitive data, or AI-enabled analytics. We support governance frameworks that protect participants, reduce compliance risk, and enable high-quality, defensible research and product development. Our work bridges clinical ethics, data protection, and AI risk management, and can be delivered end-to-end or alongside internal legal, compliance, and security teams.
Deliverables
A list of tangible outputs and concrete products clients receive upon completion of the engagement.
- Governance & Risk Assessment — We assess project risks across ethics, privacy, data security, and AI use, aligned to the intended context.
- Ethics/IRB Documentation Support — We prepare research-ready documentation (protocol elements, consent language input, data handling descriptions) and support submission workflows where relevant.
- GDPR-Aligned Data Practices — We define data minimization, role-based access, retention, and audit-ready documentation for data processing.
- AI Governance & Model Risk Guidance — We develop guardrails for AI use, including transparency, bias considerations, validation expectations, and monitoring plans where appropriate.
- Operational Policies & SOPs — We provide practical SOPs, templates, and governance checklists that teams can implement and maintain.
Methods
The specific scientific approaches, analytical techniques, and standards used to execute the work.
- Ethics-by-design — We build participant protections and ethical safeguards into study and product workflows from the start.
- Privacy-by-design — We apply GDPR-aligned principles (data minimization, purpose limitation, access control, retention discipline) in practical workflows.
- Risk-based Governance — We tailor governance depth to the risk profile, data sensitivity, and intended use of results/tools.
- AI accountability Practices — We define expectations for validation, explainability, bias assessment, and ongoing monitoring when AI is used.
- Documentation & Auditability — We maintain clear records of decisions, assumptions, and controls to support review and accountability.
- Partner-integrated Delivery — We align with internal legal, DPO, compliance, and IT/security teams to ensure governance is implementable.
Metrics we track
The key performance indicators and measurable outcomes used to evaluate success and demonstrate impact.
- Compliance Readiness — We track completion and quality of required documentation, approvals, and governance checkpoints.
- Data Protection Controls — We track access controls, retention rules, data minimization adherence, and audit trail completeness.
- Ethics & Participant Safeguards — We track consent/participant protections, protocol consistency, and handling of sensitive data elements.
- AI Risk Controls — We track validation status, performance monitoring plans, and bias/fairness review readiness, when relevant.
- Operational Adoption — We track whether SOPs and governance processes are actually used and maintained over time.
- Issue Rates & Remediation — We track governance issues identified and time-to-resolution where relevant.
Related Focus Areas
Key domains, settings, and populations where this solution is most frequently applied and drives significant impact.
Related Solutions
Additional methods and capabilities that often complement this solution for comprehensive project execution.
