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Most writing about AI in finance comes from vendors, investors and consultants. Almost all of it is about buying AI.

This is written by someone rebuilding a finance function around it, with the failures left in.

Field notes from the job: what I pointed a model at, what broke, what I’d do differently. And the parts nobody writes down: how the work is actually changing, how decisions really get made, what any of it means for a career in finance.

Computer science by training. 15 years in finance and strategy across global tech platforms, from the Big 4 to multi-billion P&L management.

Anonymous, so I can be specific. Named accounts have to stay vague. This one doesn’t.

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