Controlled information
Policies, manuals, procedures and standards with ownership, approval and controlled release.
GOVERNANCE / COMPLIANCE / ASSURANCE
Governance is not
an afterthought.
DigiPixelOS separates operational execution from organisation-level compliance management, then connects the evidence between them.
CONTROL MODELOPERATE → EVIDENCE → GOVERN → ASSUREDigiPixelCore provides the organisation-wide governance and compliance layer across the DigiPixelOS family.
CORE PRINCIPLE01
One compliance-management layer.
Specialist systems own the work. DigiPixelCore owns organisation-level obligations, controlled information, monitoring, audits, findings, corrective actions and consolidated assurance.
CONTROL FRAMEWORK
Designed for evidence, accountability and control.
Obligations
Legal, regulatory, contractual, certification and internal requirements linked to accountable roles.
Assurance
Audits, inspections, reviews, findings, non-conformities and corrective actions managed as a coherent system.
Evidence
Operational evidence remains with the specialist system and is referenced into Core without copying entire operational databases.
Accountability
Responsibilities, approvals, declarations, authorisations and renewals remain attributable to people and roles.
Management review
Compliance status, attestations, reporting and review actions come together at organisation level.
CROSS-SYSTEM EVIDENCE
Keep operational truth
where it belongs.
A compliance framework should not require duplicating every customer, job, flight, device or case record. Specialist systems retain their operational source of truth and publish the relevant status, events and evidence references into Core.
SPECIALIST SYSTEMOperational activityCase · job · flight · incident · campaign
→DIGIPIXELCOREGovernance contextObligation · control · audit · action · evidence
AI & CONTROL
Automation without surrendering accountability.
DigiPixelOS treats AI as an assistive capability. Controlled approvals, regulated suitability, compliance declarations and serious governance decisions remain human-accountable.
Read the public AI policy →