FAQs | Webinar | Benchmarking with AI: Challenges and Successes

Absolutely! TPbenchmark supports collaboration by providing multiple users access to the system at the same time. Collaboration together on a benchmark with the use of AI makes it fairly easy to now benchmark. The AI tool is designed to enhance teamwork and efficiency.

Transitioning to AI-driven testing is a journey, and we understand the importance of support. TPbenchmark provides comprehensive trainings for the tool itself but most definitely also specialized AI (prompt) trainings, trials, and responsive support channels. We’re here to assist users in every step of the way.

We have numerous success stories where TPbenchmark’s AI features have significantly improved testing efficiency, identified performance bottlenecks, and optimized resources. In our own practice, we can save up to 80% of our benchmark prepration time by using the AI Review Assistant. We see in practice that clients come close to this number as well. A trial of our TPbenchmark tool may show you in a short period of time the benefits it can have.

Great question! AI in TPbenchmark automates repetitive tasks, allowing testing professionals to focus on more strategic and complex aspects of Transfer Pricing. It enhances efficiency, enabling us to achieve more in less time.

Trust is crucial, and our auditing process is designed to ensure transparency. While the AI Review Assitant provides suggestions, a human reviewer is an integral part of the process. We make it easier to review companies by leveraging the potential of AI, but human oversight ensures accuracy and reliability in the final results.

Yes. We provide the AI model with fixed information obtained directly from the website of a company. By doing so, we maintain full control over the data, minimizing the risk of speculation or creative interpretations. The model we use is not a black box; it’s a tool trained with specific, verifiable data that undergoes careful scrutiny.

A human reviewer plays a vital role in the auditing process. While the AI provides suggestions, the reviewer ensures accuracy, relevance, and context. This dual approach, combining AI efficiency with human judgment, is key to producing reliable benchmarking results that stand up to scrutiny.

TPbenchmark uses the company website URL that is retrieved from the database.  However, if, for example, a company’s website is wrong, you can manually overwrite the URL and start the scrape process for this single company. This way, the tool ensures a full audit trail with the correct screenshots and translated text.

We presently have multiple clients that are using TPbenchmark in combination with the BvD database. TPbenchmark is compatible with various database such as CapitalIQ, FAME, BvD, Moodys and others. If you would like further clarification, please feel free to reach out to our team here.

The AI Review Assistant does not collect financial data. The financial data is retrieved from the database. After the review process, the results are calculated based upon the database import.