The Rise of Agentic AI: Transforming Business Processes and Decision Making

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

Agentic AI Platform

Tools and Connectors

Data as a Product

Super Use Cases

Advice for the Technology Buyer

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Related Research

Synopsis

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