The Promise and Perils of Low-Code AI Platforms

Authors

Maria Kandaurova
Daniel A. Skog
Petra M. Bosch-Sijtsema

Abstract

As organizations embrace artificial intelligence (AI) for business process automation, they face challenges with its adoption. Low-code platforms promise to simplify this process, but the supporting evidence is limited. We studied the adoption of a low-code conversational AI platform in four multinational companies and found three significant challenges linked to fundamental assumptions about low-code approaches. Based on this case study research, we recommend steps companies can take to guide the adoption and maximize the potential of low-code AI platforms.

Recommended Citation

Kandaurova, Maria; Skog, Daniel A.; and Bosch-Sijtsema, Petra M. (2024) "The Promise and Perils of Low-Code AI Platforms," MIS Quarterly Executive: Vol. 23: Iss. 3, Article 4.
Available at: https://aisel.aisnet.org/misqe/vol23/iss3/4