Ahikam Kaufman

speaker

208 appearances 1 recordings 1 series first heard Jun 2026 last heard 30 Jun

Ahikam Kaufman’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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Code Story | Startup Podcast for CTOs, CEOs and Technical Founders · S12 E25: From Processing $500B at Intuit to Building the Fraud-Proof Ledger: Eradicating Financial Misstatement with Ahikam Kaufman, Co-Founder & CEO of Safebooks AI · 30 Jun 2026 podcast

Much less people are going to learn finance today.

So you have less supply of people, while I think the world is facing tremendous business opportunity and expansion, and finance is a critical function.

So how do you do more with less?

I think you do it using technology.

So I thought it's a tremendous opportunity to augment manual work with automation, while the technology allows that automation to be sufficient for the requirements in the office of the CFO.

And I think some of these capabilities, in terms of accuracy,

and quality are only i've only been available over the last i would say even six to eight months so we got to a level where it's sufficient and i do have to admit i do see in 2026 i see a different level of openness and acceptance towards ai in the office of the cfo so that's our story

When we started the company, one of the decisions we've made is that we really care about the quality of the data we ingest.

So we spent a lot of time, almost two years, building the first, what we call is financial data context graph.

which means because of the unique needs and unique set of works that finance is doing, working with AI, we have to provide AI the right infrastructure and foundation to make sure it doesn't hallucinate and it doesn't make any errors.

And in order to do that, we used proprietary graph technology that basically links all the data across systems as if it was a single system.

So our message to our prospects and customers is that in order to enjoy the benefit of AI, you don't need to replace any of your systems, any of your tech stack.

We come on top, but when we come on top, we are not only augmenting what you have today, we actually ingest the data in a way that links the data across the systems by that providing AI with the full context around the data.

So if you think about that,

We take the transaction from you.

We take your quote.

We link it to the data in the CRM.

We link it to the data that comes from the order form of the contract in your document management system.

We link it to the relevant billing transactions in your billing system.

And we link it to the relevant journal entries in your ERP.

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