DataSnipper

One thing you learn quickly working in finance is that getting to the right number is only part of the job. You also need to know where it came from, what supports it and be able to explain it when someone asks. That's especially true during month-end close, when there's a lot to reconcile and review, often under tight deadlines. With Alwin by DataSnipper, were making it possible for AI to take on more of that work while keeping the results traceable to the underlying evidence. As Thilo recently shared, that traceability is what allows teams to trust the work AI produces. As a finance leader, that's the kind of progress I want to see. Less time spent pulling everything together, without losing confidence in the numbers. Thilo goes into more detail on how were approaching this with Alwin here: https://lnkd.in/eVyErqK6

AI built for Audit that ALWAYS ties completed work to the evidence used. This shouldn’t have to be a choice in a profession that quite literally is built on its ability to turn provides evidence into clear, actionable advice & judgment. But, finding this one single figure, even when provided with a document reference can be tedious, take time, and too much human effort. Alwin will take on any amount of documentation, any amount of work, complete it and point you to the findings, flagged exceptions and areas of further investigation. All directly tied to any evidence used, as elegantly demo’d by our CPTO Thilo Richter below. Read his vision, in the article below ⬇️ #audit #cpa #finance #auditing #internalaudit

"I really love the Kanban style board that allowed you to see your agent move from in progress to review..." — Holly Voight, Director of Assurance Operations at Aprio

"As a global company, it's very important to introduce AI tools to reduce time and invest it in new practices." See how Cinépolis is using DataSnipper to elevate their audit profession.

"Being able to see what other people are working on and follow the workflows through..." Discover how ITW aims to use Alwin to bring total transparency and speed to their audit cycle.

"How do we scale, how do we standardize, how do we bring these solutions more broadly..." See how modern audit teams, like Armanino, are moving beyond manual testing and rethinking AI adoption.