News & Insights
Analysis, commentary, and announcements from the DiligenceWorks team — on adversarial deal analysis, fund operations, AI governance, and data sovereignty.
Built on Research: The Academic Foundation Behind Adversarial Deal Analysis
DiligenceWorks is not built on marketing claims. It is built on a research corpus spanning 59 deep-dive studies across 20 industry verticals, 15 financial markets, and an academic literature review of over 1,000 papers. Here is what that means for how we build.
Trade Finance Red Flags: How AI Catches What Manual Review Misses
Approximately 70% of letters of credit are rejected on first presentation due to document discrepancies. AI-powered adversarial analysis can cross-reference trade documents against UCP 600 rules, counterparty data, and fraud patterns simultaneously — catching red flags that sequential manual review misses.
SME Credit Risk in Emerging Markets: What AI Research Shows Banks Are Missing
Academic research across 1,000+ papers reveals consistent gaps in how banks assess SME credit risk in emerging markets. Traditional models built on financial statement analysis miss the signals that alternative data and adversarial verification can surface.
Digital Banking in Cambodia: Data Residency, AI Readiness, and the Sovereign Infrastructure Question
Cambodia's banking sector is digitalising rapidly while the National Bank of Cambodia mandates that financial data stays in-country. For banks and fintechs evaluating AI adoption, this creates a specific infrastructure challenge that cloud-first approaches cannot solve.
Your Fund's Data Sovereignty Problem (And Why SaaS Can't Solve It)
Fund managers are accountable for where their deal data lives — yet most analysis tools quietly move it offshore. Data residency is an architectural decision, not a compliance afterthought.