Stage 1
Department
One department
Complimentary
- 4 of 8 pillars
- 1-2 stakeholders
- 8-page branded report
- + optional individual readiness layer
Stage drives the pillars in scope, the report length, and whether this is a complimentary lead-in or a fee-based engagement. You can't change it later - start a new assessment if scope grows. Looking for the Personal Snapshot? It has its own self-served flow at /ara/personal/start.
One department
A division spanning several departments
The whole organisation, board-level
Add a workforce-readiness layer to any stage
Every Department, Division, or Enterprise assessment can optionally include the four-factor individual layer alongside the org-side pillar items - gives you a per-respondent personal readiness rollup plus a cohort dashboard. You'll find the toggle on Step 2 once you pick a stage.
Need help choosing? See the full comparison.
Curated bundles tuned to common GCC engagement patterns. Picking one pre-fills the stage, sector, and pillar weights - you can still edit everything in Step 2.
Complimentary 4-pillar diagnostic for one department - data, talent, culture, operations. Ideal as a first-touch sales conversation with a head of department.
Full Stage 2 diagnostic across 6 pillars (adds strategy + governance) for a multi-department division. Includes Phase 2 consultant validation workshop.
Full 8-pillar Stage 3 diagnostic with peer benchmarks, year-on-year tracking, regulatory deep-dive, and 60-page bilingual board-grade report.
Banking-tuned diagnostic emphasising data sovereignty, model risk, and CBUAE / SAMA-style supervisory readiness. Auto-applies UAE PDPL + UAE AI Charter framework filter.
Government-tuned diagnostic mapped against SDAIA NDGF, NCA ECC, and Vision 2030 AI targets. Heavier weighting on governance, data, and operations.
Targeted Stage 1-style diagnostic on the data pillar only - quality, ownership, lineage, classification, shadow AI controls. Ideal for CDO-led discovery.
Banking and insurance-flavoured deep dive on the model_management pillar plus governance. Focuses on registry, drift, fairness, audit trail, retirement.
Targeted at organisations rolling out Copilot, ChatGPT Enterprise, or internal LLMs. Probes shadow AI, acceptable-use policy, output watermarking, training, governance.
Per-employee assessment of AI fluency: tool awareness, data-handling discipline, output-verification habits, deepfake recognition. Complements org-level Compass.
Cross-region (UAE + Saudi) PDPL-anchored audit. Targets data, governance, and model_management pillars with the regulatory deep-dive enabled.