The Rise of Agentic AI: Transforming Business Processes and Decision Making
This IDC Perspective highlights the significant trends in agentic AI adoption that ultimately solve organizational challenges and enhance business outcomes. In a technological era defined by data, innovation, automation, speed, and augmented decision making, agentic AI is proving to be a significant investment area for enterprises investing in AI and generative AI (GenAI) technologies. By transforming GenAI into scalable, actionable services, agentic AI drives business transformation through SaaS integration. Agentic AI workflows provide an intelligent approach to adopt and integrate GenAI into business operations, potentially altering most aspects of competition and influencing business needs across the region. However, challenges such as governance and data complexity require careful management, making data readiness and flexible frameworks crucial for long-term success."Agentic AI workflows provide a more intelligent approach to adopting and integrating GenAI into business operations. However, it is crucial for users to recognize the importance of security and trust when implementing these systems. The underlying data ecosystem must evolve to support agent-based architectures by enabling dynamic data pipelines that facilitate the seamless flow of multimodal data across systems. As this transition unfolds, the rise of multi-agent system architectures will represent the next major wave in AI adoption" says Deepika Giri, AVP, Research, IDC Asia/Pacific.
Executive Snapshot
Situation Overview
From Models to Business Workflows
A New Consumption Framework for GenAI
Agentic AI: The Intersection of Process Automation, Prompt Engineering, and System Engineering
Code Assistant
Writing Assistant
Agentic AI Patterns
Contrasting Agentic AI and AI
Challenges of Agentic AI
Agentic Frameworks
Impact of Agentic AI on the Future of SaaS
Key Agentic AI Vendor Offerings
Salesforce
ServiceNow
IBM
NVIDIA
Microsoft
AWS
AWS Multi-Agent Orchestrator for Managing AI Agents
Oracle
Google
Data Readiness to Support Agentic AI
Agentic AI Offerings Across the Enterprise Intelligence Framework
MongoDB Atlas
Snowflake Intelligence
Databricks Mosaic AI Gateway
Cloudera
Future of Agentic AI Across the Enterprise Intelligence Framework