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:
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. At 11:04 p.m. on a Tuesday, a chief financial officer opened an email she was not ready for.The attachment was 37 pages. Her buyer's preliminary quality of earnings analysis. Her own sell-side report had taken four people six weeks to produce. This one had taken days, and it had already mapped five years of transaction-level general ledger data against every item on her add-back schedule.One item was flagged red. A system implementation cost she had characterized as non-recurring. The same vendor had appeared in professional fees every year for four years, under four different names, inside a general ledger of 60,000 lines.She had not known. Her own team had not known. The buyer's analysis found it in 40 seconds.She had eleven weeks until close and 49 hours until the management interview.This is a book about what happens when the cost of financial analysis collapses.Not artificial intelligence as a concept. The specific mechanics of due diligence, quality of earnings work, and the leveraged buyout, and what happens to the fee structure, the staffing pyramid, and the information asymmetry built on top of them.The labor cost of financial analysis was the floor underneath the advisory fee. That floor is gone.What you get that no other book on this subject offers: The Diligence Stack. Five layers. Ingestion, Pattern, Judgment, Narrative, Defensibility. Every task belongs to exactly one, and knowing which one determines staffing, fee, timeline, and liability.The prior-period recurrence test, in full. The mechanic that catches a recurring cost dressed as a one-time add-back, including the false positive mode most practitioners learn about too late.Dirty EBITDA, in three named forms. The aggressive add-back, the manipulated cost base, and the accounting treatment choice, each with the documentation standard that defends it.The credibility reserve. A finite, non-transferable resource that decides negotiations, tracked and spent on the page rather than described in the abstract.Anticipatory disclosure. The sell-side protocol that removes the finding before the buyer arrives, and the rule about unsupported add-backs that most sellers learn too late.The simulated buy-side review. Six preparation steps replacing conventional rehearsal, because machine-generated questions differ in kind from the ones a person would think to ask.Sector ambush maps. Software, healthcare, industrials, consumer, and financial services. What gets found first in each, and where expert judgment stops the machine cold.The walk-away protocol. Five documented steps separating a broken investment thesis from a negotiable valuation. The correct refusal is an output of a working process, not a failure of one.Covenant headroom against real history. Why your credit agreement definition and your management reporting definition disagree, and how to see a breach two months early.Written for the person in the room. The buy-side associate whose job description is shifting. The sell-side CFO facing a buyer who already knows what the data room says. The advisory firm partner watching a realization rate compress for eight straight quarters. The lender running independent analysis for the first time.Written by a CPA and fractional CFO with more than a decade on over a hundred transactions and more than two billion dollars in capital markets activity.The deal table in 2030 will have fewer people at it.The deal is already wrong if you have not started paying attention. The deal is already right if you have.Read this book as if your next management interview is in 48 hours. For someone reading this, it probably is. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798197983183
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798197983183
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798197983183
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. At 11:04 p.m. on a Tuesday, a chief financial officer opened an email she was not ready for.The attachment was 37 pages. Her buyer's preliminary quality of earnings analysis. Her own sell-side report had taken four people six weeks to produce. This one had taken days, and it had already mapped five years of transaction-level general ledger data against every item on her add-back schedule.One item was flagged red. A system implementation cost she had characterized as non-recurring. The same vendor had appeared in professional fees every year for four years, under four different names, inside a general ledger of 60,000 lines.She had not known. Her own team had not known. The buyer's analysis found it in 40 seconds.She had eleven weeks until close and 49 hours until the management interview.This is a book about what happens when the cost of financial analysis collapses.Not artificial intelligence as a concept. The specific mechanics of due diligence, quality of earnings work, and the leveraged buyout, and what happens to the fee structure, the staffing pyramid, and the information asymmetry built on top of them.The labor cost of financial analysis was the floor underneath the advisory fee. That floor is gone.What you get that no other book on this subject offers: The Diligence Stack. Five layers. Ingestion, Pattern, Judgment, Narrative, Defensibility. Every task belongs to exactly one, and knowing which one determines staffing, fee, timeline, and liability.The prior-period recurrence test, in full. The mechanic that catches a recurring cost dressed as a one-time add-back, including the false positive mode most practitioners learn about too late.Dirty EBITDA, in three named forms. The aggressive add-back, the manipulated cost base, and the accounting treatment choice, each with the documentation standard that defends it.The credibility reserve. A finite, non-transferable resource that decides negotiations, tracked and spent on the page rather than described in the abstract.Anticipatory disclosure. The sell-side protocol that removes the finding before the buyer arrives, and the rule about unsupported add-backs that most sellers learn too late.The simulated buy-side review. Six preparation steps replacing conventional rehearsal, because machine-generated questions differ in kind from the ones a person would think to ask.Sector ambush maps. Software, healthcare, industrials, consumer, and financial services. What gets found first in each, and where expert judgment stops the machine cold.The walk-away protocol. Five documented steps separating a broken investment thesis from a negotiable valuation. The correct refusal is an output of a working process, not a failure of one.Covenant headroom against real history. Why your credit agreement definition and your management reporting definition disagree, and how to see a breach two months early.Written for the person in the room. The buy-side associate whose job description is shifting. The sell-side CFO facing a buyer who already knows what the data room says. The advisory firm partner watching a realization rate compress for eight straight quarters. The lender running independent analysis for the first time.Written by a CPA and fractional CFO with more than a decade on over a hundred transactions and more than two billion dollars in capital markets activity.The deal table in 2030 will have fewer people at it.The deal is already wrong if you have not started paying attention. The deal is already right if you have.Read this book as if your next management interview is in 48 hours. For someone reading this, it probably is. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798197983183
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9798197983183
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