For Privacy Commissioners, DPOs, and data leaders rebuilding privacy from a compliance afterthought into a design discipline.
Make Privacy Impact Assessments useful, embed data minimisation by default, and engineer privacy into AI, identity, and service design.
| Half-Day | Full-Day | |
|---|---|---|
| Format | 3.5–4 hours, in-person | 6.5–7 hours, remote (two sessions) or onsite |
| Price (USD) | $10,000–$13,000 (+ travel) | $15,000–$20,000 (+ travel if onsite) |
| Pre-work | FGX 45 Q33, Q34 + current PIA template, privacy policy, top 5 high-risk data flows | Half-day pre-work + DPO operating model self-scan, data inventory snapshot, AI and identity programmes register, cross-border data flows |
| Includes | PIA effectiveness review, data minimisation audit lens, privacy-by-design checkpoint, AI/identity privacy hot-spots, citizen consent & redress scan | Full DPO operating model design, PIA & DPIA template upgrade, data minimisation policy, cross-border & sharing protocols, privacy-by-design integration with service design and AI governance, 90-day backlog |
| Outputs | PIA improvement plan, data minimisation backlog, privacy risk register, SPRITE-Privacy guardrails, consent & redress recommendations | DPO operating model, upgraded PIA/DPIA templates, data minimisation policy draft, privacy-by-design playbook, integration map with AI ethics and identity, 12-month privacy roadmap |
Optional role-lens breakouts: Privacy Office operating model · PIA & DPIA practice · Data sharing & cross-border · AI & algorithmic privacy · Citizen consent & redress
Who it's for: Privacy Commissioners, DPOs, legal, data governance, AI/ML, identity, cyber, audit.
➜ [Scope this workshop](mailto:hello@fgi.digital?subject=Scope%20Privacy%203.0%20workshop)