Organizations need AI that reasons over spreadsheets and tables, not just faster Excel. Large language models fail at precise math and repeatable calculations. The answer is pairing LLMs with specialized models built to understand rows, columns, and tabular data for actual business decisions.
Your people are not sitting there doing that manual spreadsheet stitching. They've moved up and up and up and up and up the stack to now it's strategic decision-making, executing on those decisions, going and making the actual changes in the business. And we've seen a massive shift both in how good models are, but also a lot of the work is outside of these language models. 'Cause frankly, LLMs shouldn't be doing most of this work. They're not built to do math. They're not built to do repeatable calculations. So it's all about how do you augment them with the right pieces. And I think we've kind of had the right timing, but also our own proprietary technology, like our tabular reasoning model, which builds this understanding of every column and row and table. We made this really big bet When we started, that people do not just want a faster Excel or a better Excel,
Trust and Leadership Lessons for FP&A From 100+ Top Leaders with CFO Jon Laudie
