Named business owner, technical owner and risk owner for every production system.
RequiredAssurance is an engineered system—not a paragraph in a proposal.
Our control framework defines how AI systems are authorised, evaluated, observed and held accountable across their lifecycle.
Capability without governance is not production readiness.
Morifar AI is building its assurance programme to support eligibility for the Dubai AI Seal and other high-trust procurement environments. We do not claim certification, ratings or controls that have not been independently evidenced.
Each client deployment receives a control profile proportionate to its risk. The framework below is the baseline; implementation evidence is maintained per system.
Versioned record of models, data sources, tools, permissions, intended use and deployment state.
RequiredImpact-tiering based on data sensitivity, affected parties, reversibility and action authority.
RequiredPurpose limitation, permission-aware retrieval, retention controls and provenance records.
ArchitectureTask-specific test sets covering quality, groundedness, safety, policy compliance and edge cases.
Release gateLeast-privilege access for users, agents, tools and system-to-system actions.
ArchitectureExplicit review thresholds, escalation paths and accountable approval for consequential actions.
RuntimeTraceability, exception monitoring, rollback, incident classification and corrective action.
RuntimeBuild the evidence before submitting the claim.
The Dubai AI Seal identifies and classifies trusted AI companies for government collaboration. Website language alone cannot produce a high classification; the application must be supported by real corporate, technical and governance evidence.
Morifar AI will display the Seal only after formal award and will reproduce its issued classification accurately.- 01Legal & commercial identity
Licence, ownership, authorised activities, insurance and contractual accountability.
- 02AI capability
Architecture documentation, product demonstrations, evaluation results and deployment evidence.
- 03Qualified talent
Defined roles, verified expertise, training records and accountable technical leadership.
- 04Responsible AI governance
Policies, system inventory, risk assessments, human oversight and incident procedures.
- 05Security & privacy
Access controls, data flows, retention, vendor assurance, vulnerability and incident management.
- 06Outcomes & references
Substantiated delivery evidence, client approval and measurable results—never invented claims.
Governance framework versions, supported security statements, responsible-AI principles and substantiated case evidence.
Fabricated certifications, undisclosed client logos, unverifiable performance metrics or absolute claims of model safety.
System cards, risk assessments, evaluation reports, decision logs and incident records maintained within the engagement boundary.