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Twin's AI Automation Revolutionizes Invoice Management

Twin, a Paris-based startup, is revolutionizing invoice management with AI-driven automation. Partnering with Qonto, Twin's Invoice Operator significantly reduces manual invoice processing time by automating retrieval and attachment to transactions. Leveraging OpenAI's CUA model, Twin supports thousands of applications, offering scalable and efficient solutions. This innovation paves the way for AI agents to enhance various business operations, from e-commerce to call centers.

Published March 28, 2025 at 02:13 AM EDT in Artificial Intelligence (AI)

In the rapidly evolving landscape of artificial intelligence, Twin, a Paris-based startup, is making significant strides by transforming theoretical AI concepts into practical solutions. Emerging from stealth mode in early 2024, Twin is now partnering with Qonto, a leading fintech startup, to launch an innovative automation agent designed to streamline invoice management. This collaboration is a testament to the potential of AI-driven automation in enhancing business operations.

Traditional methods of automating repetitive tasks often rely on API-based solutions like Zapier or RPA software such as UiPath. However, Twin's approach, leveraging AI and computer use models, offers a more efficient alternative. The company's first product, Invoice Operator, exemplifies the advantages of AI in handling large volumes of data. Qonto, which processes millions of invoices monthly, benefits from this tool by significantly reducing the time customers spend manually gathering and uploading invoices.

Invoice Operator automates the retrieval of invoices by first identifying transactions with missing invoices. It then accesses the necessary services to download these invoices, displaying the process in a browser window for transparency. Users are prompted to enter credentials when needed, after which the agent continues its task, ultimately attaching the downloaded invoices to the relevant transactions in the Qonto account.

The scalability of Twin's solution is a key differentiator. Unlike RPA, which requires custom scripts for each service, Twin's AI can support thousands of applications within months, a feat that took Zapier a decade to achieve. This is made possible by Twin's use of OpenAI's CUA model, which powers the automation process through a Chromium-based web browser.

Twin's vision extends beyond invoice management. The startup envisions a future where AI agents can manage orders for e-commerce companies, classify marketplace catalogs, and retrieve information for call centers. By simplifying the user experience and targeting non-tech-friendly users, Twin aims to make AI agents accessible and beneficial across various industries.

As Twin continues to develop its core agent platform, the potential for developers to integrate these AI-driven solutions into their applications is immense. By offering faster, cheaper, and more accurate automation, Twin is poised to revolutionize how businesses handle repetitive tasks, paving the way for increased efficiency and innovation.

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