Ertiqaa - Execution Leaders: Assessment Dashboard

AI Readiness Assessment Results — February 2026

Ertiqaa

Strategic Insights

Executive-level intelligence for MTCIT leadership decision-making

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 70 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

NeverRarelySometimesOftenAlways30394865

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)

Participants35
Avg AIR58.7
Entities21
Diversity Index60%

Group 3 — Nominated (Q2 2026)

Participants35
Avg AIR56.7
Entities20
Diversity Index57%

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

The 126 "Not Assigned" participants represent a significant talent pool that warrants consideration for future Ertiqaa program cohorts. Group 2 (35 participants) and Group 3 (35 participants) are both nominated for Q2 2026.

Post-Training Trend Analysis — Placeholder

This section will display pre/post training comparison charts once post-training assessment data becomes available. The dashboard is designed to accommodate future data uploads for longitudinal trend analysis.