Agentic AI - Types, Use Cases, and Workflows
Agentic AI represents a paradigm shift in how work gets done, some reports show that companies are seeing significant ROI (for every $1 invested, they realize $3.50 in return). It also highlights that Agentic AI helps mitigate LLM security and governance concerns while accelerating organizational implementation.
This eBook on Agentic AI and their use cases covers:
- An introduction to Agentic AI and its position in the AI evolution journey
- Definition of Agentic AI as a combination of LLMs, workflows, and automation that boosts productivity and efficiency
- The evolution of AI agents from rule-based RPA to multi-modal LLM agents
- Different stages of Agentic AI implementation, from single-purpose agents to enterprise agent swarms
Industry-specific applications across:
• Pharmaceutical (rare disease identification and sales enablement)
• CPG (trade spend optimization)
• Manufacturing (order management)
• Supply chain (vendor selection and optimization)
- Implementation challenges and considerations for organizations
- Organizational readiness factors and how to tackle them
