IDEAS home Printed from https://ideas.repec.org/a/aza/airwa0/y2023v2i3p253-258.html
   My bibliography  Save this article

Building AI solutions that deliver a better customer experience

Author

Listed:
  • Causon, Jo

    (Institute of Customer Service, UK)

Abstract

Technology, including artificial intelligence (AI), has the potential to improve the customer experience significantly. However, there are several challenges of which that organisations should be aware in order to ensure that AI is used effectively. One of the key challenges is ensuring that AI is used in a way that complements, rather than replaces, human interaction. AI can be used to automate tasks that are repetitive or time-consuming, freeing up customer service representatives to focus on more complex issues. However, AI should not be used to replace human interaction entirely. Customers still value the ability to speak to a real person when they need help, and this is critical for complex or sensitive situations. Organisations need to take steps to ensure that their AI algorithms are trained on data that is representative of the population they serve, to avoid biased or discriminatory outcomes. They also need to be transparent about how they are using AI and a suitable regulatory framework should be developed. Customers need to understand how AI is being used to collect and use their data. Businesses should provide clear privacy policies and give customers the ability to opt out of AI-based services. By addressing these challenges, organisations can use AI to deliver a better customer experience. AI can automate tasks, improve efficiency and aid personalisation, but it should do so in a way that is fair and unbiased.

Suggested Citation

  • Causon, Jo, 2023. "Building AI solutions that deliver a better customer experience," Journal of AI, Robotics & Workplace Automation, Henry Stewart Publications, vol. 2(3), pages 253-258, March.
  • Handle: RePEc:aza:airwa0:y:2023:v:2:i:3:p:253-258
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7813/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/7813/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    AI; customer experience; customer service; technology; regulation;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • G2 - Financial Economics - - Financial Institutions and Services

    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:aza:airwa0:y:2023:v:2:i:3:p:253-258. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.