LOW-CODE AI-DRIVEN AUTOMATION FOR ENHANCING OPERATIONAL EFFICIENCY IN SMES
Keywords:
Low-code platforms, AI automation, SMEs, , operational efficiency, digital transformationAbstract
This study explores the integration of low-code platforms with artificial intelligence (AI) to drive automation and enhance operational efficiency in Small and Medium Enterprises (SMEs). By combining agility, scalability, and ease-of-use, low-code AI solutions bridge skill gaps and reduce dependency on specialized IT resources. Using synthesized data and literature before 2021, we assess measurable efficiency gains and recommend strategic adoption pathways for SMEs across sectors.
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Copyright (c) 2022 Jeffrey Ryan, (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
