Privacy control atlas
Privacy & Data Governance
A practical map from Canadian privacy obligations to operating controls, accountable owners, and proof that the controls work.
- PIPEDA
- Quebec Law 25
- GDPR readiness
- PIA / DPIA practice
Evidence over slogans
The Movahedi Control Atlas: turn privacy and AI risk into controls people can prove.
A practical framework by Mohammad Movahedi for mapping Canadian privacy, AI governance, process excellence, responsible automation, data-responsible branding, and fractional leadership to evidence.
Risk → control → evidenceBuilt for operatorsToronto · Canada · Remote
AI governance control atlas
AI Governance, Ethics & Explainability
A control map for moving from shadow AI discovery to risk-tiered, explainable, and security-aware AI operations.
- Responsible AI
- AI use-case inventory
- Explainability
- Application security
Process excellence control atlas
Process Excellence & Six Sigma
A control map for turning privacy and security workflows into measurable, repeatable operations using Lean and DMAIC thinking.
- DMAIC
- Lean process design
- RACI
- Continuous improvement
Privacy-preserving automation atlas
Custom B2B AI & Data Solutions
A control map for moving GRC and data-operations automation from promising prototype to an accountable production handoff.
- Privacy by design
- Least privilege
- Evaluation criteria
- Production readiness
Data-responsible brand atlas
Data-Responsible Branding & Media Strategy
A control map for aligning marketing data practices, preference experiences, and public-facing trust narratives.
- Consent and preference UX
- CDP governance
- Data ethics
- Transparent communication
Fractional governance atlas
Fractional & Advisory Roles
A control map for creating durable governance leadership, decision records, and internal capability without a full-time hire.
- Executive accountability
- Risk acceptance
- Operating cadence
- Knowledge transfer
The method
Risk → control → evidence
The Movahedi Control Atlas is organized around a simple test: can a team explain the risk, name the accountable control, and produce evidence that the control operates? Each map turns that sequence into practical questions, outcomes, and artifacts.
Created and maintained by Mohammad Movahedi.