Workflow Agents

Co-Work Plugins for Smart Execution
Erscheinungsjahr 2027
ISBN: 978-0-443-55683-8
Verlag: Elsevier Science

Buch, Englisch, 450 Seiten, Format (B × H): 191 mm x 235 mm

We are entering a world where AI does more than just answer questions. It can now plan, act, collaborate, and complete real work. Workflow Agents: Co-work Plugins for Smart Execution explains how intelligent AI agents can work alongside humans to automate tasks, manage workflows, and improve decision-making in businesses, education, healthcare, government, and beyond. This book shows how AI agents connect with real-world tools like CRMs, databases, APIs, cloud platforms, and enterprise systems. It explains how CoWork plugins allow AI systems not just to suggest ideas but to execute tasks safely, efficiently, and intelligently. Written in simple and practical language, it helps readers to understand how to design, build, and deploy AI workflow agents that actually get work done. Workflow Agents: CoWork Plugins for Smart Execution will help researchers, developers, managers, and policymakers understand how smart execution systems are shaping the future of work.

Autoren/Hrsg.

Mahajan, Shubham

Upreti, Kamal

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion User Interface Design & Benutzerfreundlichkeit
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Betriebssysteme

Inhaltsverzeichnis

Part I: Foundations of Workflow Intelligence
1. The Shift from Chat AI to Action AI
2. Understanding Workflow Agents
3. CoWork Plugins and Tool Integration

Part II: Architecture and Design
4. System Architecture for Smart Execution
5. Designing Reliable and Scalable Agents
6. Security, Governance, and Compliance

Part III: Implementation and Deployment
7. From Prototype to Production
8. Workflow Agents in Industry
9. Measuring Impact and ROI

Part IV: Advanced Concepts and Future Directions
10. Multi-Agent Collaboration Systems
11. Learning and Adaptive Execution
12. Ethical and Societal Implications

Part V: Practical Frameworks and Tools
13. Building a CoWork Plugin Framework (Step-by-Step Guide)
14. Case Study – Designing an Enterprise Workflow Agent
15. The Future of Smart Execution Systems

Über Autor(innen)

Mahajan, Shubham
Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

Upreti, Kamal
Dr. Kamal Upreti is an Associate Professor of Computer Science at CHRIST (Deemed to be University), Ghaziabad. He holds, a Ph.D. in Computer Science & Engineering, and a postdoctoral fellowship at National Taipei University of Business, Taiwan, funded by MHRD.

With teaching, research, and industry exposure, he has produced numerous patents and publications. His interests span modern physics, data analytics, cybersecurity, ML, healthcare, embedded systems, and cloud computing. Notable projects include Hydrastore in Japan, IPDS in India, and an ICMR-funded cardiovascular-prediction project with GB Pant and AIIMS Delhi.

Dr. Upreti serves as session chair, keynote speaker, trainer, and faculty developer, and has been honored as Best Teacher, Best Researcher, and an M.Tech Gold Medalist.