Twin’s first AI agent is an invoice retrieval agent for Qonto customers

Summary

When Twin came out of stealth in January 2024, AI agents were more of a theoretical concept than a reality. Today, the Paris-based is releasing an automation agent in partnership with Qonto, the fintech startup that offers business bank accounts to more than 500,000 customers across Europe. If you want to automate repetitive tasks, there are already several ways to tackle these problems. Some companies use API-based, no-code or low-code automation products like Zapier. Others rely on RPA software, such as UiPath. With its team of nine people, Twin thinks there’s a much more efficient way to handle automation. As you may have guessed, it involved artificial intelligence and computer use models. Invoice Operator, Twin’s first product designed for Qonto, is a good example of why it makes sense to use artificial intelligence. Qonto handles millions of invoices per month. But customers spend several hours per month gathering invoices and uploading them to Qonto. Over the past three months, Twin has created an automatic invoice retrieval tool that can speed up this process. When users launch Invoice Operator, Twin first fetches the list of transactions with missing invoices. It then shows the list of services that it needs to access to download invoices next to a browser window showing the agent’s actions. If you need to log in to a service to download invoices, the browser pauses and asks you to enter your credentials manually. Once this is done, you can click on a button to let the agent continue its work. After that, Twin’s Invoice Operator automatically finds your list of past transactions, downloads invoices and attaches the PDFs to the transactions in your Qonto account. “When you do that at the scale of Qonto, you basically need to cover a very, very long tail of services. Thousands, tens of thousands and soon hundreds of thousands of different services that everyone is using,” Twin co-founder and CEO Hugo Mercier said during a demo of the product. “And that would ...