Finance AI
3 insights in Finance AI.
Practical AI: The Only Answer to a Disruption Curve That Isn't Going to Slow Down
New models, new capabilities, new tools every few weeks. Most leaders are reacting wrong — chasing, waiting, or picking winners. The only position that compounds is practical AI: hands on keys, honest about limitations, focused on application. The model is the commodity. The application is the moat.
The Finance Ontology: The Missing Layer Between Generic AI and a Senior Practitioner
The most valuable asset in your Finance function isn't on any balance sheet — it's the logic that lives in the heads of your senior practitioners. The finance ontology is how you get that logic out, and it's the dividing line between AI that sounds competent and AI that actually runs your business.
Why Most Finance AI Pilots Die (And What the Survivors Do Differently)
Most Finance AI programs are built on the wrong unit of work. They count use cases and miss the two things that actually move the P&L — the end-to-end process redesign, and the finance ontology underneath it that turns a generalist model into a domain expert.