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The Compressed Enterprise: How AI Is Collapsing Execution Time and What Leaders Must Do Before Their Competitors Do
Paperback
Series: Executive Briefings on Enterprise AI, Book 1
Publisher: Independently Published
Published: Jul 27 2026
Pages: 106
Weight: 0.34
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
Over the past two years, work that used to take weeks started taking days.
A report, a draft process, a working prototype, a first version of something a customer can actually use. The tools got good enough to finish the job rather than suggest how it might be done.
Most large organisations have not changed how they work to match. They bought the licences, ran a pilot, and carried on as before. That is why so many AI projects produce nothing anyone can measure, and why the reason is almost never the technology.
This is a short, practical book about what to do instead.
What you get
- The four-layer Enterprise AI Stack. Context, Reasoning, Execution, Agency. Most large organisations have built two of them and stopped exactly where the value begins.
- One question that sorts any organisation in an hour. When your people use AI, does a human still have to build the thing afterwards? If yes, you bought a consultant, not a capability.
- Why execution got cheap, in ratios rather than currency, so the numbers still hold when prices move again.
- The six objections, answered honestly, including the two that are still correct.
- The Governance Grid. A two-by-two that turns a months-long policy debate into a five-minute placement decision, built for regulated environments including ADGM, DIFC, CBUAE and the EU AI Act after the 2026 Omnibus.
- The first ninety days as a sequence. One workflow, one owner, one measured baseline, one visible result. No strategy programme required.
Who it is for
Chief executives, CIOs, CTOs, chief data officers, heads of digital and strategy, enterprise architects and board members. Anyone accountable for whether their organisation is still competitive in three years.
No code. No architecture diagrams. No predictions about 2030. Short enough to finish on one flight, and every chapter ends with something you can act on this quarter.
About the author. Leonid Dorogoy has spent fifteen years building AI and data platforms inside regulated financial institutions, leading engineering organisations of up to four hundred people across banking, fintech and trading in the UAE, Europe and North Africa.
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