Artificial Intelligence (AI) in Scaled Agile Framework (SAFe): Empowering the Saudi Vision 2030 Through Innovation and Decision-Making Enhancement

Artificial Intelligence (AI) integrated within the Scaled Agile Framework (SAFe) represents a powerful enabler for achieving the strategic objectives of Saudi Vision 2030.This article examines how AI enhances SAFe practices by fostering innovation, automating repetitive processes, and enhancing decision-making across complex, large-scale initiatives.By leveraging AI's capabilities, organizations can improve sprint planning, risk management, and backlog prioritization, while enabling data-driven insights to guide strategic choices.The discussion highlights practical applications in key areas of Vision 2030, such as smart city development, healthcare transformation, educational reform, and financial innovation.By combining SAFe's collaborative and iterative approach with AI-driven solutions, this integration accelerates progress toward Vision 2030's goals, positioning Saudi Arabia as a global leader in innovation, sustainability, and technologyenabled decision-making.

Authors

Publication Details

Journal
International Journal of Applied Information Systems
Published
2025-02-03
DOI
https://doi.org/10.5120/ijais2025452000
Citations
2
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence (AI) in Scaled Agile Framework (SAFe): Empowering the Saudi Vision 2030 Through Innovation and Decision-Making Enhancement

Nojood Ibrahim Almutaz
2 citations
International Journal of Applied Information Systems
Organizational and Employee Performance
4.96
article

Artificial Intelligence (AI) in Scaled Agile Framework (SAFe): Empowering the Saudi Vision 2030 Through Innovation and Decision-Making Enhancement

Nojood Ibrahim Almutaz
article en
2 citations

Abstract

Artificial Intelligence (AI) integrated within the Scaled Agile Framework (SAFe) represents a powerful enabler for achieving the strategic objectives of Saudi Vision 2030.This article examines how AI enhances SAFe practices by fostering innovation, automating repetitive processes, and enhancing decision-making across complex, large-scale initiatives.By leveraging AI's capabilities, organizations can improve sprint planning, risk management, and backlog prioritization, while enabling data-driven insights to guide strategic choices.The discussion highlights practical applications in key areas of Vision 2030, such as smart city development, healthcare transformation, educational reform, and financial innovation.By combining SAFe's collaborative and iterative approach with AI-driven solutions, this integration accelerates progress toward Vision 2030's goals, positioning Saudi Arabia as a global leader in innovation, sustainability, and technologyenabled decision-making.

International Journal of Applied Information SystemsVol. 12(46)
Openalex Percentile: Top 5%
Organizational and Employee Performance
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence (AI) in Scaled Agile Framework (SAFe): Empowering the Saudi Vision 2030 Through Innovation and Decision-Making Enhancement — Nojood Ibrahim Almutaz · International Journal of Applied Information Systems (2025) | TGRS Research Map | TGRS