Large language models love large bodies of text. What would take a human months can be done in an instant. Even with the messiest of data, Neo.Tax's AI System can deliver an R&D credit with better substantiation than the time-consuming process of engineer interviews, because it’s one based on contemporaneous data, which the IRS now prefers.
At Neo.Tax, we talk to scores of controllers and Heads of Tax every month. One thing is clear: the old way of filing for R&D Tax Credits has become a burdensome pain. You’d think that so many businesses moving their project management and payroll online, via software like Jira, Rippling, and Workday would simplify the filing process. But, in some ways, it’s made it harder.
The payroll and project management output is a rich dataset, but it’s also, well, voluminous. If that data is not inputted perfectly—and let’s be honest, it never is—that means it’s up to a controller or Head of Tax to sift through the mess to create the filing. Engineers need to be trained (and retrained) on the correct project tagging process, and then cajoled to sort out any inputting errors. It’s a waste of time for your filer and your engineering teams.
Which is why Neo.Tax created our AI system.