The CIO's guide to agentic AI in the enterprise

WHAT'S INSIDE THE GUIDE

What is agentic AI and why CIOs need it now

Agentic AI refers to autonomous AI systems that can take independent actions to achieve goals, unlike traditional AI that simply responds to specific inputs. For enterprises, this means AI that can handle complex, multi-step processes without constant human oversight.

From assessing potential use cases through an effort-versus-value framework to establishing best practices for moving from experimentation to production, this guide provides a strategic roadmap for CIOs looking to unlock the full potential of autonomous AI agents.

Practical applications of AI agents

Discover the best agentic AI use cases for your organization

An evaluation framework for use case prioritization

Leverage a standardized approach to select use cases based on implementation complexity and potential business impact

The secrets of enterprise-wide agentic AI deployment

Learn why a platform approach provides the security, governance, and flexibility you need to deploy AI agents at scale

A detailed comparison of agentic AI options

Compare the pros and cons of point-solutions with AI add-ons vs DIY vs the platform approach to agentic AI at scale

WHY READ THIS GUIDE?

The most successful CIOs will balance innovation with pragmatism, moving beyond the hype to focus on sustainable business value.

Read this guide to explore the benefits of agentic AI which include:

Operational efficiency
Enhanced employee productivity
Improved customer experiences
Accelerated innovation

Learn why platforms like Vertesia provide distinct advantages for enterprise-scale deployment and ensure your agentic AI initiatives deliver measurable business outcomes rather than becoming stranded in proof-of-concept limbo.

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