AI Deal Analysis
How AI is changing the way fund managers evaluate investment opportunities.
AI deal analysis uses machine learning and natural language processing to evaluate investment documents — pitch decks, information memoranda, financial models — faster and more systematically than manual review. DiligenceWorks adds adversarial verification: treating every claim as unverified until independently confirmed.
How It Works
How does AI analyse a pitch deck?
The AI extracts all text, numbers, charts, and tables from the pitch deck. It then cross-references claims against each other (does the revenue projection match the stated market size?) and against external data sources. The output is a structured report identifying contradictions and unverified claims.
What is adversarial deal analysis?
Adversarial deal analysis assumes every claim in a deal document is wrong until proven right. Instead of summarising what the pitch deck says, it actively tries to disprove each claim. This approach catches inconsistencies that positive-framing summaries miss — such as TAM figures that exceed the total industry size, or growth rates that imply impossible market share.
Can AI replace human due diligence?
No. AI automates the cross-referencing and consistency-checking that junior analysts spend weeks doing manually. The strategic judgement — whether the market opportunity is real, whether the team can execute, whether the valuation is justified — remains a human decision. AI makes humans faster and more thorough, not redundant.
Accuracy & Trust
How accurate is AI deal analysis?
The cross-referencing function is highly accurate — mathematical consistency is verifiable. Claims verification against external sources depends on the quality and availability of those sources. DiligenceWorks always flags the confidence level of each finding.
Has AI deal analysis caught real problems?
Yes. Adversarial analysis has identified fabricated customer logos, impossible unit economics (CAC exceeding LTV with stated churn), undisclosed founder departures, and revenue figures that contradicted filed company accounts.
What happens if the AI makes a mistake?
Every finding includes the underlying evidence and the specific data points that triggered it. Analysts can verify any finding by examining the source material. DiligenceWorks is a tool that augments human judgement, not a black box that replaces it.
Comparison with Alternatives
How is DiligenceWorks different from ChatGPT for deal analysis?
ChatGPT summarises documents. DiligenceWorks adversarially verifies them. ChatGPT will tell you what the pitch deck says; DiligenceWorks will tell you what the pitch deck gets wrong. Additionally, ChatGPT processes data on OpenAI's servers — DiligenceWorks runs on infrastructure you control.
How is DiligenceWorks different from traditional due diligence software?
Traditional due diligence tools (Datasite, Intralinks) manage data rooms and document workflows. DiligenceWorks analyses the content of those documents — identifying contradictions, verifying claims, and generating risk assessments. They are complementary, not competitive.
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