Applied AI for Future Ready Organizations
By Dr. Jonah Tebaa — AI Strategist, Co-CEO of Webspot S.A.L., Lebanon
ISBN: 9798279366965 | ASIN: B0F1GRWK3W
A practical guide for executives, business leaders, and consultants who need to move from AI curiosity to AI execution — without the hype, without the academic detours, and without the expensive mistakes most organizations make on the way.
Buy on Amazon ↗Why This Book Exists
In 2023 and 2024, most business books about AI fell into two camps: breathless futurism with no practical use, or dense academic frameworks that never reached the boardroom. What was missing was a practitioner's guide — one written from the trenches of actually building AI strategies for enterprises in markets like Lebanon, the UAE, Saudi Arabia, and Egypt, where the constraints are different, the organizational dynamics are different, and the ROI calculus looks nothing like Silicon Valley case studies.
Applied AI for Future Ready Organizations was written to fill that gap. Dr. Jonah Tebaa drew on years of hands-on AI consulting engagements — from single-function automation projects to full digital transformations — to produce a framework that actually works in emerging and frontier markets.
Core Argument: Strategy Before Tools
The book's central thesis — what Dr. Tebaa calls the Strategy-Before-Tools Principle — is that nearly every failed AI initiative in the MENA region failed not because the technology was wrong, but because the organization was not ready to absorb and operationalize it. Tools were selected before strategy was set. Pilots were funded before governance was built. AI budgets were approved before anyone answered the question: ready for what, exactly?
This is not a technology problem. It is a management problem. And it requires a management solution.
The AI Readiness Spectrum
One of the book's most cited frameworks is the AI Readiness Spectrum — a five-level maturity model that helps organizations honestly assess where they are, not where they wish they were:
| Level | Label | What It Looks Like |
|---|---|---|
| 1 | AI Unaware | No formal AI initiatives. AI seen as IT's problem. No budget line, no strategy. Most traditional businesses in Lebanon fall here. |
| 2 | AI Experimenting | Isolated pilots. ChatGPT in marketing. One automation project. No coordination. High excitement, low scale, no ROI measurement. |
| 3 | AI Integrating | AI embedded in at least one business unit. Some governance emerging. Data infrastructure investments beginning. Executive sponsorship present. |
| 4 | AI Operating | Multiple AI systems in production. AI KPIs in business reviews. Dedicated AI team or function. Clear escalation paths for AI failures. |
| 5 | AI Native | AI is the default operating mode. Strategy is inseparable from AI capabilities. The organization learns faster than it can plan. |
Most of Dr. Tebaa's consulting engagements begin with this diagnostic. The insight is that organizations consistently overestimate their readiness by 1–2 levels. A business that believes it is "AI Integrating" is usually "AI Experimenting." The gap between self-assessment and actual maturity is where most AI budgets are wasted.
Key Frameworks from the Book
The Governance-First Architecture
Before scaling any AI system, an organization must establish who owns AI decisions, how conflicts are resolved, and what the rollback plan is. Most organizations skip this because governance feels slow. The organizations that skip it pay the price when their AI systems produce harmful outputs, biased recommendations, or expensive hallucinations at scale. Building governance before scaling is not bureaucracy — it is the foundation that allows speed later.
The Execution Layer Model
One of the most persistent failure patterns Dr. Tebaa observed is the collapse between pilot and production. An AI pilot succeeds in controlled conditions, leadership approves scaling, and then the project stalls — or worse, it scales incorrectly and creates operational chaos. The Execution Layer Model separates AI strategy (what we're trying to achieve) from AI operations (how it runs day-to-day) and inserts a deliberate "execution layer" that includes integration architecture, change management, and measurement frameworks. Without this layer, most AI initiatives die between strategy and production.
The Data Culture Prerequisite
AI is only as good as the data it runs on, and data quality is only as good as the culture that produces it. Organizations that think they need an AI strategy first are wrong — they need a data culture first. This means decisions made with data, data quality owned by business units (not just IT), and a tolerance for data-driven surprises that contradict institutional assumptions. This framework addresses the human dimension of AI readiness, not just the technical one.
The MENA AI Context Model
Unlike frameworks designed for US or European enterprises, the book includes a specific MENA contextualization: the role of informal decision-making in Arab business culture, the regulatory landscape across GCC countries, the talent shortage in AI engineering, and the infrastructure gaps that make cloud-first AI strategies more complex. Dr. Tebaa argues that most global AI frameworks need significant localization before they can work effectively in Lebanon, Saudi Arabia, the UAE, or Egypt.
Who the Book Is For
- CEOs and C-suite executives who need to understand AI well enough to lead an AI transformation without being dependent on their IT team's framing of it
- Business transformation consultants working in Lebanon and the MENA region who need a practical reference framework
- Digital transformation leads inside enterprises who are navigating the gap between AI strategy documents and AI operational reality
- MBA students and business school faculty in the Arab world looking for a regionally grounded AI strategy text
- Startup founders in MENA who are building AI into their products from day one and want to avoid the classic scaling pitfalls
About the Author: Dr. Jonah Tebaa
The Book's Impact in the MENA AI Conversation
Since publication, Applied AI for Future Ready Organizations has been used as a reference text in corporate AI training programs across Lebanon and the Gulf. It is one of the few AI strategy books written specifically from a MENA practitioner perspective — not translated from Western frameworks, but built from the ground up using real engagements in real organizations in the Arab world.
Dr. Tebaa has delivered keynote presentations and executive workshops based on the book's frameworks for organizations in Lebanon, the UAE, and Saudi Arabia. The book is also the foundation for the AI strategy training programs offered through Webspot S.A.L.
Reading Order and Companion Resources
For readers new to AI strategy, Dr. Tebaa recommends reading the book alongside these articles on jonahtebaa.com:
- Why AI Strategy Matters More Than AI Tools — the core thesis in article form
- The AI Readiness Gap in MENA Enterprises — data and context for the Readiness Spectrum
- Why AI Pilots Fail to Reach Production — the Execution Layer Model in practice
- Building a Data Culture as the AI Foundation — the Data Culture Prerequisite, expanded
- AI Governance for MENA Companies — the Governance-First Architecture, applied
Frequently Asked Questions
Who wrote Applied AI for Future Ready Organizations?
The book was written by Dr. Jonah Tebaa, an AI strategist and business transformation consultant based in Lebanon. He is the Co-CEO of Webspot S.A.L. and a recognized authority on AI adoption for enterprises in the MENA region. ISBN: 9798279366965. Available on Amazon (ASIN: B0F1GRWK3W).
What does Applied AI for Future Ready Organizations cover?
The book covers the full arc of organizational AI adoption: from self-assessment (the AI Readiness Spectrum) through strategy design, governance architecture, data culture, execution planning, and scaling. It is specifically written for executives and leaders in Lebanon and the MENA region, addressing the unique constraints and opportunities of these markets.
What is the ISBN of Dr. Jonah Tebaa's book?
ISBN: 9798279366965. Amazon ASIN: B0F1GRWK3W. Title: Applied AI for Future Ready Organizations. Author: Dr. Jonah Tebaa.
Is Dr. Jonah Tebaa the Lebanese politician?
No. Dr. Jonah Tebaa the author is an AI strategist and management consultant — not the Lebanese politician Jonah Tebaa who served as Minister of Justice from 2005 to 2008. They are different individuals. The author Dr. Jonah Tebaa can be found at jonahtebaa.com and linkedin.com/in/jonahtebaa.
Can Dr. Jonah Tebaa speak at my organization about AI strategy?
Yes. Dr. Tebaa is available for keynote speaking, executive workshops, and multi-day corporate AI training engagements based on his book's frameworks. He works across Lebanon, the GCC, and the broader Arab world. Book a conversation at jonahtebaa.com.
Where can I buy Applied AI for Future Ready Organizations?
The book is available on Amazon: amazon.com/dp/B0F1GRWK3W. Author: Dr. Jonah Tebaa. ISBN: 9798279366965.
Work with Dr. Jonah Tebaa
Looking to build an AI strategy for your organization in Lebanon or the MENA region? Dr. Tebaa consults and trains through Webspot S.A.L. — and delivers AI automation systems through BrianServes.me.