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description: A finance executive with 15 years of investment committee experience explains why most AI products built for finance fail in real-world due diligence settings....
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# Build for the Memo, Not the Demo — Shawn Chan, China Resources Holdings

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 24 min read · 0 upvotes · 0 comments

## Summary

A finance executive with 15 years of investment committee experience explains why most AI products built for finance fail in real-world due diligence settings. The core argument: AI systems are optimized for demos (impressive for 5 minutes) but not for memos (documents that must survive rigorous scrutiny before real money moves). Six specific trust-breaking failure modes are identified: inability to rank source credibility, numerical inconsistencies, smoothing over contradictions, blending facts with guesses, lack of verifiable citations, and absence of human accountability. Five concrete fixes are proposed: every claim linked to a sourced paragraph with trust level, visible fact/guess separation, automatic numerical consistency checks, surfacing contradictions rather than hiding them, and a logged human approval gate. The talk closes by noting that pitch decks to investors undergo the same memo-level scrutiny, making these lessons directly applicable to fundraising.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=tJFjeMBKbIY>

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Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#fintech](https://daily.dev/tags/fintech)

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