Loading content…
Francois Roux
CEO & Co-founder
A conversation with Daniel Suarez, Accounting Consultant & Project Manager at Klara Consulting, Sweden
We recently caught up with Daniel Suarez, Accounting Consultant and Project Manager at Klara Consulting in Sweden. What stood out wasn't just what he uses Taxxa for, but how he uses it — a clear methodology for getting the most out of AI in a professional context, starting with a healthy dose of critical thinking.
The first response is never the final one. That's Daniel's rule.
He follows up with additional questions, pushes back when something feels off, and checks the sources behind a conclusion. In a field where precision matters and clients depend on the accuracy of your advice, that discipline is what makes AI actually useful. It's the difference between passively accepting an output and actively working with the tool to reach a reliable result.
Rather than jumping straight to a specific question, Daniel begins with the bigger picture of a case and works his way in step by step. He gives the tool context before asking it to get specific.
This approach significantly reduces the risk of inaccurate outputs. It's a simple shift in method, but one that reflects a deeper understanding of how to interact with AI effectively in complex, multi-layered accounting scenarios.
Swedish accounting professionals operate within a dense regulatory landscape. Whether it's navigating Bokföringsnämnden's guidelines or digging into Skatteverket's knowledge databases, finding the right piece of information across these frameworks can be time-consuming.
For Daniel, Taxxa has become the go-to tool for locating specific information across these complex regulatory frameworks.
Advisory work often comes down to running the numbers under different conditions. Daniel uses Taxxa to calculate and analyze dividend allowance scenarios under the new 2026 rule changes, testing different assumptions and understanding how updated rules impact available distribution room for company owners.
This kind of scenario modeling is central to the advisory conversations that company owners rely on when making financial decisions. All of it is done directly in Taxxa.
More recently, Daniel has been extending his use of the platform beyond research and advisory. He now compares draft annual reports against prior years, verifying that opening balances match across the balance sheet, income statement, and notes, along with grammar and spell-checking.
When you start relying on it not just for finding information, but for catching errors in your own work, that says something about how embedded it has become in the workflow.
Most of these use cases are connected to year-end accounting and advisory work, exactly the kind of high-stakes, detail-heavy tasks where having a reliable AI solution makes a real difference.
Daniel would love to see Taxxa handle reconciliations and numerical discrepancy checks as part of his workflow. That's exactly the kind of input that helps us shape what comes next. When our most engaged users tell us where the platform should go, we listen.
Are you an accounting professional curious about how AI can fit into your daily practice? Let's talk.
