BodyFit maintains audit trails and conducts assurance reviews to verify our governance, security, and AI practices operate as intended.
We log significant events: admin actions, AI decisions, policy changes, data access by staff, authentication events, and automation runs. These logs support investigations, compliance demonstrations, and continuous improvement. Our Audit Trail admin page provides internal visibility.
Significant AI decisions — workout generation, exercise adaptation, nutrition target calculation, health risk flags — are logged with context for review. Our Intelligence Audit admin tool lets us review AI behaviour and identify issues for improvement.
We conduct regular internal reviews of security, privacy, and AI practices. Reviews check that controls operate as documented, policies are followed, and improvements are identified. Findings feed into our risk register and roadmap.
We welcome external scrutiny through our Responsible Disclosure programme and, where appropriate, independent security assessments. Our Transparency Reports page summarises our assurance activities and findings.
Governance Overview
BodyFit’s governance framework defines how we make decisions, manage risk, and maintain the trust our users place in us. It spans AI, data, privacy, security, and ethics.
Transparency Reports
BodyFit publishes transparency information about our practices, requests, and assurance activities to build and maintain user trust.
AI Governance
BodyFit’s AI Governance framework ensures our AI Coach is responsible, explainable, safe, and accountable — especially because it makes recommendations about users’ health and fitness.
Security Programme
BodyFit’s Security Programme protects user data and platform integrity through preventive, detective, and responsive security controls.