Agentic AI examples

PG() fotor bg remover fotor bg remover
Bartosz Roguski
Machine Learning Engineer
Published: July 15, 2025
Glossary Category

Agentic AI examples are real-world implementations of autonomous AI systems that demonstrate independent decision-making and action execution across various industries and use cases. These examples include insurance claims processing agents that automatically verify policies, validate coverage, and make approval decisions; telecommunications automation agents that handle device activations, troubleshoot network issues, and manage customer accounts; healthcare appointment scheduling agents that analyze patient histories and coordinate personalized care workflows; and financial services agents that process loan applications, conduct risk assessments, and execute trading strategies. Other prominent examples encompass customer service agents that resolve complex inquiries across multiple channels, supply chain optimization agents that manage inventory and logistics, and content moderation agents that enforce platform policies. These implementations showcase how agentic AI moves beyond simple chatbots to become autonomous digital workers that handle end-to-end business processes, integrate with existing systems, and deliver measurable ROI through consistent, scalable performance.

Want to learn how these AI concepts work in practice?

Understanding AI is one thing. Explore how we apply these AI principles to build scalable, agentic workflows that deliver real ROI and value for organizations.

Last updated: July 21, 2025