IDEAS home Printed from https://ideas.repec.org/p/smo/raiswp/0593.html

From Compliance to Competitive Advantage: Policy Analysis of AI Chatbots for Texas SMEs

Author

Listed:
  • Paul Hernandez

    (University of the Incarnate Word, San Antonio, United States)

Abstract

Artificial intelligence (AI) chatbots are increasingly integrated into the operations of small and medium sized enterprises (SMEs) in Texas, supporting functions such as customer service, marketing, and data management. The introduction of regulatory frameworks, including the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), presents a dilemma for these enterprises by imposing compliance costs while also offering opportunities for competitive differentiation through enhanced transparency, ethical governance, and innovation. This paper conducts a systematic policy analysis of state and federal artificial intelligence regulations to assess their impact on adoption costs, operational efficiency, and ethical management for small and medium sized enterprises. The analysis demonstrates that strategic compliance can foster consumer trust, retention, and competitive advantage. Furthermore, the findings suggest the development of a governance and return on investment checklist to assist enterprise leaders in balancing regulatory requirements with business efficiency. Practical recommendations are provided to enable SMEs to leverage compliance as a strategic asset by integrating regulatory and business considerations.

Suggested Citation

  • Paul Hernandez, 2025. "From Compliance to Competitive Advantage: Policy Analysis of AI Chatbots for Texas SMEs," RAIS Conference Proceedings 2022-2026 0593, Research Association for Interdisciplinary Studies.
  • Handle: RePEc:smo:raiswp:0593
    as

    Download full text from publisher

    File URL: https://rais.education/wp-content/uploads/0593.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:smo:raiswp:0593. 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: Eduard David (email available below). General contact details of provider: http://rais.education/ .

    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.