Despite its success, an international accounting firm was working with a big problem. They needed to find a way to reduce the resources spent on reviewing R&D tax claims because the process is expensive and time-consuming.
Additionally, the process pulled their best experts away from more meaningful work. Therefore, they turned to a possible R&D tax automation process as a solution.
We looked at how the company operated and supported them in building a Decision Intelligence system based on their expertise, leveraging Rainbird’s extended knowledge graph and reasoning technology. The model automatically assesses risk factors associated with R&D tax credit claims.
The R&D tax automation tool compares the claim assessment with a large volume of baseline claims and produces a risk score and a full explanation and audit trail for every decision. As a result of Rainbird’s technology undertaking a significant portion of the work, the company can redirect its cost savings into other areas of the business.
Using Rainbird, the firm has achieved cost savings to the equivalent of 5 hours per assessment. Since they now have more time and resources to onboard new clients, they have almost doubled the size of their advisory business.
Rainbird’s Decision Intelligence platform powered by Trustworthy AI continues to supporting the company with new use cases and helps them stand out in the marketplace.
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