The American Journal of AI & Innovation (AJAI) is a peer-reviewed, open-access journal dedicated to advancing research and development in Artificial Intelligence (AI) and innovation-driven technologies. AJAI serves as a platform for academics, researchers, and industry professionals to publish high-quality, cutting-edge research in AI, machine learning, deep learning, natural language processing, robotics, computer vision, and related fields.

Scope & Focus

AJAI welcomes original research articles, review papers, case studies, and technical reports on topics including, but not limited to:

  • Artificial Intelligence & Machine Learning
  • Deep Learning & Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision & Image Processing
  • AI Ethics & Responsible AI
  • AI in Healthcare, Finance, and Business
  • Internet of Things (IoT) & Smart Systems
  • Blockchain & AI Integration
  • Robotics & Autonomous Systems
  • AI-driven Innovations and Startups

Why Publish with AJAI?

  • Rigorous Peer Review: Ensuring high research quality and originality.
  • Global Reach: Indexed in major research databases for maximum visibility.
  • Open Access: Free access to cutting-edge AI research worldwide.
  • Fast Publication: Streamlined review and publication process.

Target Audience

  • AI Researchers & Academicians
  • Data Scientists & Engineers
  • Innovators & Startups
  • Industry Professionals & Tech Leaders
  • Policy Makers & AI Enthusiasts

AJAI is committed to fostering collaboration between academia and industry to drive the future of AI and technological innovation.

Vol. 7 No. 7 (2025): AJAI

Published: 2025-03-04

Evolution of SaaS: Embedding AI Agents and the Transition to Autonomous AI-Driven Platforms

Madhu Bandi, Anil Kumar Masimukku, Ranjit Singh Nagulapally, Sruthi Vallu
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