Strategic Framework and Road Map for Agentic Innovation Use Cases
Description
This IDC Market Perspective presents a strategic framework and road map to guide organizations in identifying and prioritizing high-impact agentic AI use cases. As enterprises evolve from generative AI to agentic AI, the focus shifts from productivity to innovation-driven business model transformation. IDC's Agentic Innovation Framework helps align innovation intent, strategic value, and technological readiness to deliver measurable outcomes. With the majority of organizations already testing or investing in agentic AI, success will depend on embedding trust, governance, and human oversight into autonomous systems. By combining agentic capabilities with human judgment, enterprises can unlock new opportunities for growth, resilience, and competitive advantage."Enterprises need clear criteria to translate agentic AI potential into measurable outcomes. IDC's framework provides that structure, linking innovation intent and strategic value, with AI capabilities and organizational feasibility. Technology vendors play a pivotal role by guiding clients through this evaluation process, ensuring that agentic investments are trustworthy, scalable, and aligned with long-term transformation goals." — Tony Olvet, research group VP, Worldwide C-suite and Digital Business, IDC
Table of Contents
12 Pages
Executive Snapshot
New Market Developments and Dynamics
The Expanding Role of Agentic AI
Human and Machine Collaboration in Decision-Making
Building Trust and Operational Readiness
Agentic AI Investment and Adoption Trends
Agentic Innovation Framework
AI Use Case Evaluation Criteria
Use Case Innovation Intent
Use Case Strategic Value
Agent Autonomy
Composition Modularity
Responsible Governance
Human-AI Collaboration
Technology Readiness
Advice for the Technology Supplier
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