Build for the Memo, Not the Demo — Notes from 200 Investment Committees
Official Schedule Context
- Date/time: 2026-07-01 · 1:30pm-1:50pm
- Track/room: AI in Finance · Track 3
- Speaker(s): Shawn Chan
- Session type/status: session · confirmed
Official Description
By the end of this talk you will have a buyer-side specification for AI investment agents, the exact
artifacts, evidence formats, and trust gates a senior finance team will require before letting an AI
system touch a $100M+ capital allocation decision. Drawn from fifteen years and roughly 200
investment committees at CK Hutchison (A.S. Watson Group) and China Resources Holdings, on the side
of the table the AI engineering audience almost never hears from. Most enterprise AI in finance is
still being built by engineers who have never sat in an investment committee. I have spent fifteen
years on the other side of that demo, cross-border M&A, IPO execution and strategic investment, as a
buyer on deals including Oatly (Series B through Nasdaq IPO), Airbnb (Series F), SenseTime, Moore
Threads, Leapmotor and EVE Energy, and on the A.S. Watson tri-market IPO and Temasek's strategic
stake. I have watched analyst memos get torn apart, and signed off on decisions where being wrong
meant being wrong by nine figures. From that seat, almost every AI finance demo I have seen has the
same problem: it optimizes for the demo, not for the memo. This talk walks through the specific
failure modes that kill AI agents at the IC door: Source hierarchy is not retrieval. A footnote in
an audited 10-K outweighs a sell-side note, which outweighs a transcript, which outweighs an
internal email. Most RAG systems flatten this. Numerical consistency is non-negotiable. A memo that
says "revenue grew 18%" in paragraph one and "17.4%" in the sensitivity table is dead on arrival.
Contradiction is a feature. Real diligence surfaces conflicts between sources; AI agents tend to
silently resolve them. Every assumption must be separable from every fact. Investment committees do
not approve assumptions hidden inside prose. Audit trail is the deliverable. If a regulator, an
auditor, or a board member cannot trace a claim back to evidence in under thirty seconds, the system
is unusable. Accountability cannot be delegated to a model. Someone has to sign the memo. The
architecture has to reflect that. The session closes with a concrete buyer-side specification, what
an AI investment agent must produce, in what form, with what evidence, before a senior finance team
will let it touch a live deal. Not a framework slide.
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Notes
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