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AIP-Driven Adverse-Media Summarization for DD Engagements: Prompt Patterns, Grounding Strategy, Hallucination Controls

by Noah Green CPA CFE | May 15, 2026 | DD Tech Lab

What you’ll be able to do after reading this. Read an AIP prompt specification and understand what structured output it produces. Recognize the four-gate validation pattern (schema validate, citation substring, hallucination verifier-LLM, insufficient-corpus...

From Beneficial-Ownership Lists to Cypher: A Practical Knowledge-Graph Setup for Due Diligence

by Noah Green CPA CFE | May 15, 2026 | DD Tech Lab

An ownership chain that nests beyond three levels is the point at which the DD analyst’s tooling has to change. A natural person owns 51 percent of Entity A; Entity A owns 80 percent of Entity B; Entity B reaches a 40 percent indirect interest in Entity C...

Transaction-Timing Diagnostics in the CTMC Family: Poisson Arrivals, End-of-Period Spikes, and When to Escalate to Multi-State Models

by Noah Green CPA CFE | May 14, 2026 | DD Tech Lab

the preceding articles in this sub-series modeled discrete-state sequences in discrete time. The implicit assumption — transactions occur at evenly-spaced moments — discards the most diagnostic feature of period-end audit work: the timing itself. A transaction stream...

Correlation Diagnostics for Journal-Entry Pairs: Revenue ↔ AR, COGS ↔ Inventory, and Cash ↔ Operating-Expense

by Noah Green CPA CFE | May 11, 2026 | DD Tech Lab

Revenue tracks accounts receivable until the collection cycle breaks. Cost of goods sold inversely tracks inventory changes until capitalizations distort the flow. Cash tracks operating expenses until reclassification schemes decouple them. These account-pair...

Higher-Order and Variable-Order Markov Models for Long-Memory Fraud Schemes

by Noah Green CPA CFE | May 7, 2026 | DD Tech Lab

First-order Markov modeling assumes the next state depends only on the current state — what happened one step ago tells you everything you need to know about what happens next. For most audit applications this is a useful approximation. For long-memory fraud schemes —...

Frequency-of-Amount Analysis: Detecting Approval-Limit Avoidance Schemes Through Histogram-of-Counts

by Noah Green CPA CFE | May 4, 2026 | DD Tech Lab

Coarse-band threshold testing catches major asymmetric clusters but misses two refinements requiring dedicated analysis. Bimodality (two distinct peaks in the distribution) means the file behaves as if two different payment systems were mixed together: a normal...
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