The SAP Murders is not a book about transactions. It is a record of what happens when a system that never lies is built on assumptions that do. Unit 734 — the AI forensic investigator created by Bikash Jain — enters a manufacturing plant not as a consultant, not as an implementer, but as a detective. The case: a truck assembly, AS001, with twenty components and a production line that has stopped. SAP shows clean MRP runs. Goods receipts are confirmed. Production orders are released. On paper, everything is in order. On the floor, nothing moves. What follows is an investigation across forty-four chapters — spanning Materials Management, Production Planning, Quality Management, Supplier Relationship Management, and Sales & Distribution — that systematically dismantles every comfortable assumption embedded in the design. That a material master with a plant view is a material ready to be used. That a planned order is a commitment. That inventory in SAP is inventory on the shelf. That a vendor who exists in the system has ever once been asked to deliver. SAP never broke. It executed exactly as designed. That was the problem. Each chapter is a crime scene. Each transaction code is a locked finding. Each configuration gap that was deferred, each master data field that was left blank, each control that was disabled with the intention of enabling it later — they are the suspects. Unit 734 names them all. This is the evidence the system left behind.