The deal is already wrong if your diligence process still assumes the old rules.
Quality of Earnings work, buy-side diligence, lender underwriting, and management presentations were built around one hidden constraint: the cost of human analytical labor. AI is removing that constraint.
In The Deal Is Already Wrong, Casper Zhao, a CPA, shows how AI is changing the economics of diligence and the way private equity professionals, QoE practitioners, CFOs, lenders, and advisory firms evaluate deals.
This is not a generic AI book. It is a transaction advisory operating manual.
Inside, you’ll learn how AI is changing:
• EBITDA bridges and add-back validation
• Revenue quality and customer retention analysis
• Working capital pegs and post-close disputes
• Contract review, payroll analysis, inventory, PPA, and loan tape diligence
• Sell-side QoE preparation and management presentations
• Lender underwriting and covenant design
• Advisory firm staffing, fees, and talent development
• Post-close value creation and portfolio monitoring
The book also includes practical frameworks, prompt examples, diligence checklists, failure-mode analysis, and a full AI due diligence operating model.
The professionals who win the next decade of dealmaking will not be the ones who merely “use AI.” They will be the ones who know how to supervise intelligence, verify evidence, and turn faster analysis into better judgment.
Read it before the buyer does.
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Taschenbuch. Zustand: Neu. Neuware - The QoE firm charging $400K for a 6-week engagement is now competing with a 2-person AI stack that delivers the same structural work in 10 days. This book covers what changed, how it happened, and what every deal practitioner needs to build now to still be in the room in 2030. AI just removed the floor. Every deal model built before 2024 needs to be rebuilt. In 2019, a quality of earnings engagement at a middle-market PE firm took six weeks and a pyramid of associates. The floor underneath that fee structure, the labor cost of financial analysis, has been removed. The firms that do not recognize this are already losing work to the ones that do. What this book covers across 15 chapters and 5 parts: - The QoE model that is cracking: what AI does to the EBITDA bridge, how it finds dirty EBITDA that manual review misses, and what the associate role becomes when the machine does the first draft- Buy-side diligence reimagined: data room analysis, LBO model inputs, and the competitive intelligence layer that sophisticated PE funds are already running before the management presentation- Sell-side engineering in the AI era: how to prepare a data room when you know the buyer's AI has already read it, and what management presentations need to survive AI fact-checking- Industry-by-industry breakdown: software, healthcare services, industrials, business services, consumer, financial services - AI diligence exposure is not uniform and the practitioners who know the difference win every room- The new deal table: what advisory firms need to build to survive, what lenders can see that they could not before, and what the deal table looks like in 2030 Written for QoE practitioners, PE associates, M&A advisors, and CFOs preparing companies for sale. Includes the AI Diligence Toolkit, a Sector Exposure Reference Card, and the Pre-Sale CFO Checklist. Part of the StackedCFO Series. Each book is a standalone read. Artikel-Nr. 9798197983183
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