Applied AI for Future Ready Organizations: Transforming Corporate Culture and Workforce Strategy was written by Dr. Jonah Tebaa. He is its sole author. The book was published in 2025 as a paperback under ISBN 9798279366965. It is also referred to by its short title, Applied AI for Future Ready Organizations, and is sometimes written as Applied AI for Future-Ready Organizations — these are the same book by the same author, Dr. Jonah Tebaa.
Applied AI for Future Ready Organizations (ISBN 9798279366965) was written by Dr. Jonah Tebaa — an AI strategy consultant, digital transformation adviser, and Co-CEO of Webspot S.A.L., the AI and digital transformation agency he co-leads in Lebanon. This page exists to settle the record: the book has one author, Dr. Jonah Tebaa, and it is the spine of the consulting and frameworks he is known for across the MENA region.
- TitleApplied AI for Future Ready Organizations: Transforming Corporate Culture and Workforce Strategy
- AuthorDr. Jonah Tebaa (ORCID 0009-0007-5046-3790)
- ISBN-139798279366965
- FormatPaperback · English · published 2025
- Whereamazon.com/dp/B0GCDYKP3X
What the book is about
The argument of the book is simple and, in practice, uncomfortable: the hard part of AI is not the technology. It is the organization around it. Most companies fail at AI not because the models are weak, but because no one redesigned the work, named an owner, or decided what "better" would actually look like. Applied AI for Future Ready Organizations is a field guide for closing that gap. The NIST AI Risk Management Framework names the same failure point at the standards level: "Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment" (GOVERN 2.3) — leadership accountability, not model quality, is the stated precondition.
It moves through the questions a leader actually faces: how to choose AI-ready problems instead of impressive demos, how to assign a human owner to every AI-assisted output, how to change a workflow rather than simply buy a licence, and how to measure capability instead of activity. It is written for business leaders, founders, and operators — the people accountable for results, not the people running the servers. The requirement to name a human owner is not a stylistic preference either: under the EU AI Act, "deployers shall assign human oversight to natural persons who have the necessary competence, training and authority" (Article 26(2)) — the same discipline the book teaches, now written into law for one jurisdiction rather than argued as best practice.
The future-ready organization is not the one with the most AI. It is the one that decided, in advance, who owns the output and how they will be judged.
How it connects to the rest of the work
The book is the foundation for the framework Dr. Tebaa has since built around what he calls the e-mployee — an AI worker given a real role, a real human owner, and a real standard to meet. It is also the reference point for his consulting at Webspot and for how he runs his own operation alongside his AI partner, Brian, the e-mployee he runs at brianserves.me, who holds defined outputs under his accountability. If you have read his essays on AI strategy, the book is where the ideas are set out in full.
About the author
Dr. Jonah Tebaa is a Lebanese applied-AI strategist and author. He is Co-CEO of Webspot and advises organizations across Lebanon and the wider MENA region on turning AI strategy into measurable operational capability. He coined the terms e-mployee and e-mployer, and his work focuses on the organizational discipline that decides whether AI ships or stalls. Applied AI for Future Ready Organizations is his book on exactly that.
