Workflow Agents: Co-work Plugins for Smart Execution

Shubham Mahajan · Kamal Upreti

Apr 2027 · Elsevier

Ebook

450

Pages

Eligible

This book will become available on April 1, 2027. You will not be charged until it is released.

About this ebook

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. - Explains workflow agents in clear, simple language - Provides practical examples from real industries - Shows architecture diagrams and system design approaches - Discusses safety, governance, and ethical considerations - Offers step-by-step guidance on building CoWork plugin systems - Presents case studies and implementation strategies - Connects theory with practical execution

Discover more

About the author

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.

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.

Reading information

Smartphones and tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and computers

You can listen to audiobooks purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.

Flag as inappropriate