IDEAS home Printed from https://ideas.repec.org/p/zbw/imfswp/338107.html

Selected European law challenges related to the use of artificial intelligence payment agents

Author

Listed:
  • Grabowski, Michał
  • Costea, Iulia

Abstract

This article examines the EU-law challenges arising from the use of artificial intelligence for payment initiation and execution ("Payment Agents") under European Union law. It focuses on Payment Agents that support purchasing workflows and are capable of initiating payments in both human-in-the-loop and human-out-of-the-loop environments. The article conceptualises Payment Agents as agentic systems and develops three regulatory models: (i) a protocol-only model, (ii) a model based on the involvement of a licensed payment service provider under PSD2, and (iii) a contract-based model with separated roles for a Payment Agent Provider and a Credentials Provider. It concludes that Payment Agents will, as a rule, qualify as "AI systems" within the meaning of the AI Act, whereas payment protocols should be understood as transactional infrastructure rather than general-purpose AI models. Typical agentic payment use cases are not currently listed as high-risk AI systems under Annex III of the AI Act. Under PSD2, the protocol-only model may amount to payment initiation services when it initiates transactions from a payment account, which implies licensing and strong customer authentication. This configuration resembles screen scraping. Agentic payments are not equivalent to merchant initiated transactions (MIT), where the payee initiates the transaction within scheme processing. In the contract-based model, the Credentials Provider can often be aligned with a pass-through wallet and a technical services provider. Depending on design, the arrangement may resemble a payment scheme and may trigger outsourcing under the EBA outsourcing framework and, for ICT services, DORA. The article concludes that existing legal institutions address the risks only partially. It argues that mitigation would be stronger if agentic payments were expressly recognised as a high-risk use case under the AI Act.

Suggested Citation

  • Grabowski, Michał & Costea, Iulia, 2026. "Selected European law challenges related to the use of artificial intelligence payment agents," IMFS Working Paper Series 232, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
  • Handle: RePEc:zbw:imfswp:338107
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/338107/1/1965168817.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:imfswp:338107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/hoffmde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.