Applied Artificial Intelligence (AI)
and Its Governance in Government Operations
Let AI empower your work — not
replace it!
The world today is witnessing a
fundamental transformation in the way government institutions operate, with
Artificial Intelligence having become the backbone of governmental digital
transformation. The Gulf States are leading this transformation with remarkable
confidence, as the AI adoption rate in the Gulf Cooperation Council countries
jumped from 62% to 84% between 2023 and 2025. The Kingdom of Saudi Arabia has
officially declared 2026 the Year of Artificial Intelligence, ranking first
globally in AI adoption within the public sector, with nearly two-thirds of
employees using AI tools on a daily basis. Economically, AI is expected to
contribute approximately USD 320 billion to the Middle East economy by 2030, with
a contribution reaching 12.4% of Saudi Arabia's GDP, and 8.2% for Bahrain,
Kuwait, Oman, and Qatar combined.
However, this rapid adoption has
revealed a genuine gap: employees are using AI tools daily, yet without clear
governance frameworks and without mastery of professional application skills.
For this reason, all Gulf States have launched modern regulatory frameworks:
Bahrain's standalone AI Law, the SDAIA and NDMO frameworks in Saudi Arabia,
Qatar's National Strategy, and the MTCIT regulations in Oman. This makes the
qualification of government personnel in both practical application and
responsible governance a national and regulatory necessity, not an option.
This workshop comes to answer the
most important question facing every leader and official in government entities
today: "How do we empower our employees to leverage Artificial
Intelligence with high efficiency without exposing our entities to legal,
security, or ethical risks?"
Target Audience
This workshop has been designed to
serve these categories within government entities:
•
Leaders and executive officials in ministries,
institutions, universities, councils, secretariats, and municipalities.
•
Department directors and heads of sections involved in
decision-making and the development of government services.
•
Officers responsible for digital transformation,
compliance, data protection, and internal auditors.
•
Employees in technical and administrative departments who
wish to deploy Artificial Intelligence efficiently and securely.
Why the "Applied Artificial
Intelligence and Its Governance in the Government Sector" Workshop at The
Only Solutıon for Training and Consulting?
•
Content specifically designed for the government
environment, based on the study and analysis of the operational reality of
government entities.
•
A unique combination of application and governance within
a single workshop that simulates the real-world context a government official
needs.
•
Practical deliverables that the trainee takes back to
their entity — ready for immediate implementation within their department.
•
Updated content aligned with local regulatory frameworks,
not merely with generic international standards.
•
Trainers with hands-on experience in applying Artificial
Intelligence within government environments — not merely academic lecturers
(carefully and meticulously selected).
•
Post-workshop support: complimentary consulting for up to
30 days after the workshop concludes, in addition to an online follow-up
session after 30 days, and a follow-up and evaluation session after 90 days to
monitor the actual implementation of the deliverables.
•
Certificates for every trainee that enhance their
professional profile:
◦
Certificate from The Only Solutıon for Training and
Consulting — Jordan.
◦
Certificate from Cambridge Training College Britain — London
Workshop Objectives
•
To deploy applied Artificial Intelligence tools in daily
governmental tasks in order to raise productivity by no less than 40%.
•
To formulate professional prompts that produce
high-quality outputs, while evaluating their reliability prior to approval.
•
To identify the legal, security, and ethical risks of
using AI within the governmental environment, in accordance with local
regulatory frameworks.
•
To prepare a draft institutional policy for the use of Artificial
Intelligence, ready for implementation within the participant's entity.
Training Modules
Module One: Applied Artificial
Intelligence — Foundations and Concepts
•
The distinction between General Artificial Intelligence,
Applied Artificial Intelligence, and AI applications.
•
A map of the most widely used AI tools within the
government sector (ChatGPT, Claude, Gemini, and Copilot).
•
A practical comparison between the tools: when to use
each one?
•
Free versus paid versions: what the government employee actually
needs.
•
Practical exercise: hands-on familiarization with the
tools and conducting an initial professional interaction with them.
Module Two: Prompt Engineering for
the Government Employee
•
Components of an effective prompt: context, task, format,
and constraints.
•
The seven most widely used patterns for writing prompts.
•
Chain-of-Thought prompting and Few-Shot prompting.
•
Common errors that weaken the quality of the output.
•
Practical exercise: writing prompts for real-world tasks,
followed by a collective review.
Module Three: AI Applications in
Daily Governmental Tasks
•
Preparing memoranda, reports, and official
correspondence.
•
Summarizing lengthy documents and extracting key points.
•
Analyzing data and producing charts and presentations.
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Drafting meeting minutes and committee resolutions.
•
Translation and linguistic proofreading of official
correspondence.
•
Practical exercise: producing a genuine work document
from scratch using Artificial Intelligence.
Module Four: Evaluating the Quality
and Reliability of AI Outputs
•
The phenomenon of hallucination and how to detect it.
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Verifying the facts and sources provided by Artificial
Intelligence.
•
Criteria for judging the quality of output prior to its
approval.
•
When to trust an AI output and when to reject it entirely?
•
Practical exercise: analyzing real outputs and uncovering
their errors.
Module Five: AI Risks in the
Government Environment
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Leakage of personal data and confidential information.
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Legal and regulatory risks associated with uncontrolled
use.
•
Algorithmic bias and its impact on the fairness of
government services.
•
Cybersecurity risks associated with Artificial
Intelligence tools.
•
Practical exercise: analyzing real-world case studies of
government entities that have encountered such issues.
Module Six: Regulatory Frameworks for
AI Governance in the Gulf States
•
An introduction to AI governance and its core concepts.
•
The national regulatory frameworks of the Kingdom of
Saudi Arabia, the Kingdom of Bahrain, the State of Qatar, Kuwait, and the
Sultanate of Oman.
•
Relevant international standards: ISO/IEC 42001 and the
OECD AI Principles.
•
Personal data protection requirements in each country.
•
Practical exercise: linking the regulatory framework to
the nature of the participant's work.
Module Seven: Building an Institutional
Policy for the Use of Artificial Intelligence
•
The core components of an AI usage policy within the
entity.
•
Defining what is permitted and what is prohibited: clear
boundaries of use.
•
Distributing roles and responsibilities: who uses, who
reviews, who approves?
•
The Human Oversight protocol.
•
Mechanisms of documentation, auditing, and
accountability.
•
Practical exercise: Participants draft a policy for their
own department.
Module Eight: A Roadmap for
Responsible Adoption
•
A methodology for assessing the entity's readiness to
adopt Artificial Intelligence.
•
Building a phased implementation plan (30/60/90 days).
•
Indicators for measuring the success and return of AI
adoption.
•
Managing resistance to change when introducing AI tools
within teams.
•
Practical exercise: Participants develop a roadmap for
their own department.
Workshop Deliverables
Upon completion of the workshop, each
participant will receive:
•
A draft AI usage policy prepared for their
department/entity, ready for review and approval.
•
A professional prompts library containing ready-to-use
prompts for the most frequently recurring governmental tasks.
•
A risk-analysis matrix identifying the most prominent
risks within the participant's department and the mechanisms for addressing
them.
•
A personalized roadmap for applying what has been learned
over 30/60/90 days.
•
A comprehensive digital training package containing
reference content, templates, and tools.
Training Methodology Adopted in the
Workshop
The workshop relies on an
active-learning methodology, includes:
•
Interactive Presentation: to deliver core concepts in a
concentrated and clear manner.
•
Direct Application: executing the exercises on the
participants' own personal devices.
•
Real-World Case Studies: analyzing actual experiences of
government entities.
•
Group Workshops: building the deliverables interactively
among participants.
•
Discussion and Brainstorming: exploring challenges and exchanging
experiences.
•
Individual Work with Supervision: Participants produce
their own deliverables under the trainer's guidance.
•
Immediate Feedback: collective review of participants'
deliverables and their refinement.
•
Post-Training Follow-Up: complimentary consulting for up
to 30 days after the workshop concludes, in addition to an online follow-up
session after 30 days, and a follow-up and evaluation session after 90 days to
monitor the actual implementation of the deliverables.
To deepen
your understanding of this field, we invite you to explore our analytical
article "Applied AI
Governance in Government: The 2026 Leader's Playbook for the Gulf & Jordan",
which presents an integrated framework covering implementation, governance, and
risk management — supported by regional case studies and practical,
ready-to-apply measurement tools.
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Consulting
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