How Safebooks AI positioned against the 80% accuracy standard that makes AI unacceptable in finance | Ahikam Kaufman

Episode notes

Safebooks AI is building the infrastructure layer that makes agentic AI safe to operate inside the office of the CFO. Where most finance automation tools solve point problems - AP, AR, billing, reconciliation - Safebooks ingests data end to end across every system in a company's financial stack: CPQ, CRM, contract management, billing, ERP, and banking. Using graph AI technology, it normalizes that data into a complete, traversable audit trail so AI agents can process every transaction with the accuracy and completeness that financial compliance actually demands. In a recent episode of BUILDERS, we sat down with ⁠Ahikam Kaufman⁠ , Co-Founder & CEO of ⁠Safebooks AI⁠ , to learn how a career inside the office of the CFO - including time at Mercury Interactive and a post-acquisition role at Intuit - led him to build the data infrastructure layer that makes agentic finance real.

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