Ertiqaa - Execution Leaders: Assessment Dashboard

AI Readiness Assessment Results — February 2026

Ertiqaa

Strategic Insights

Executive-level intelligence for MTCIT leadership decision-making

Filters

Action Required

4 items

127 participants not yet assigned to a cohort

Assign them to G1/G2/G3 to include them in group comparisons.

🔴

1 entity critically below AIR threshold (< 40)

Unknown (25)

📌

Weakest AI dimension: Prompting (2.31/5)

Prioritise this dimension in the Ertiqaa curriculum for immediate impact.

📉

Weakest DT dimension: Simplification (NaN/3)

Target this dimension in digital transformation capacity-building initiatives.

Overall Capability Maturity Level

Intermediate

Execution leaders show intermediate capability with clear growth opportunities.

Average AIR Score: 51.3/100Avg AI Competency: 2.9/5.0

Strongest AI Dimension

AI Ethics

3.31/5

This dimension shows the highest average score across all 221 participants, indicating a relative strength in the cohort.

Priority Development Area

Prompting

2.31/5

This dimension requires targeted curriculum focus in the Ertiqaa program to elevate overall cohort readiness.

Selection Efficiency

Q1 2026 Priority

11.3% selected

25 participants enrolled in Group 1 from 221 total, with 69 nominated for future cohorts.

AI Competency Dimension Averages — Population View

025AI EthicsTool UseAI ThinkingAIFundamentalsCo-IntelligencePrompting

Experience vs AIR Score Correlation

3-56-1011-1515+Years40475465

AI Usage Frequency vs AIR Score — Correlation Analysis

NeverRarelySometimesAlways30394865

Participants who use AI tools "Always" consistently achieve higher AIR scores, suggesting a strong positive correlation between active AI engagement and readiness.

The Ertiqaa program should prioritize practical AI tool integration in its curriculum to bridge the readiness gap between frequent and infrequent AI users.

Group Balance & Diversity Analysis

Group 1 — Enrolled (Q1 2026)

Participants25
Avg AIR54.2
Entities16
Diversity Index64%

Group 2 — Nominated (Q2 2026)

Participants34
Avg AIR58.5
Entities22
Diversity Index65%

Group 3 — Nominated (Q2 2026)

Participants35
Avg AIR57.1
Entities19
Diversity Index54%

Group 1 (Selected) maintains the highest average AIR score, validating the merit-based selection methodology applied by MTCIT.

The 127 "Not Assigned" participants represent a significant talent pool that warrants consideration for future Ertiqaa program cohorts. Group 2 (34 participants) and Group 3 (35 participants) are both nominated for Q2 2026.

AI Readiness vs Digital Transformation — Side-by-Side

Both scores normalised to 0–100 scale for direct comparison

AI Readiness (AIR)
Digital Maturity (DT×100/3)

By Selection Group

G1 Enrolled25 participants
AIR
54.2
DT
2.11/3
G2 Nominated34 participants
AIR
58.5
DT
2.51/3
G3 Nominated35 participants
AIR
57.1
DT
2.43/3
Unassigned127 participants
AIR
47.1
DT
1.89/3

By Entity (Top 12 by AIR Score)

0255075100Ministry of Agricult…MadaynMinistry of InteriorSEZADMinistry of Foreign …NCSIOman Vision 2040APSRGovernorate ofSouth…Ministry ofFinanceMinistry of Social D…Governorate ofAd Da…
  • AI Readiness (AIR)
  • DT (normalised)