The dedicated agentic AI roundtable discussion at IDC's Data Xchange 2025 in May 2025 highlighted the appetite for agentic AI across multiple business and operational use cases. Despite the potential of AI agents to transform businesses and reduce manual repetitive toil, challenges persist — such as lack of standardized protocols, governance, and agent lifecycle management. Technology providers are urged to address these issues, offering robust data platforms, observability, governance-first platforms, and human-centric designs to unlock agentic AI's transformative potential."Agentic AI is ripe for reshaping business landscapes, and the technology ecosystem has the opportunity to make it a deployable reality for enterprises. Addressing governance, agent lifecycle management, and identity and access controls, while delivering an agent-ready data architecture can give organizations a programmatic path to success." — Senior Research Director Archana Venkatraman, Cloud Governance and Cloud Data Management, IDC Europe
Executive Snapshot
New Market Developments and Dynamics
Agentic AI Use Cases
Advice for the Technolology Supplier
A Multi-Faceted Obstacle Course
Absence of Standardized Protocols and Frameworks for Agents
Identity, Access and Privilege Management
Lack of Precedent or Guidance
Backend Architectures Not Fit-for-Purpose
Build vs. Buy Dilemma
Evolving Vision of What "Human in the Loop" Means
Responsible AI and Ethical Considerations
Shared Responsibility Boundaries
Unproven ROI and Commercial Business Case
Lack of Readiness of Business Processes
Trust, Quality, and Perception
What Is on IT Buyers' Wish-List and Where Technology Suppliers Can Help
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Synopsis
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