Enterprise Guide to Agentic AI Readiness
Agentic AI is ready for action. But for most enterprises, their data isn’t. Gartner predicts that more than 40% of Agentic AI projects will be canceled by 2027* due to a lack of data readiness.
This eBook provides a clear and actionable roadmap to ensure Agentic AI success.
Reach your Agentic AI potential with trusted data
Build a governed, AI-ready data foundation and avoid costly AI failures. Inside, you’ll learn how to:
- Securely activate enterprise data with an Model-Context Protocol (MCP) server.
- Optimize a knowledge graph-powered data catalog for your data ecosystem.
- Mitigate AI risk with governed, high-quality, trusted data.
- Leverage metadata to scale automation and de-risk AI initiatives.
- Scale from pilots to enterprise-ready Agentic AI.
You’ll discover a practical maturity model, real-world use cases, and a three-step approach to move confidently from foundational governance to intelligent automation. Your data is the difference between an AI promise and AI performance.
*Gartner, “Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027,” June 2025.
Success stories are made
with Actian
"We were able to centralize our analytics and BI data into a single solution. The data catalog design via the Studio app enabled data transparency and clarity in the documentation of our data assets, while the Explorer app enabled our end users to find the right data for their respective use cases via its data discovery features, which represented a big advantage for Lufthansa Cargo."
"In our opinion, only the business functions can truly transform the company into a data-driven one. Data catalog is the tool they need—efficient and usable—so that they are fully aware of the data they have available. It builds the bridge between business and data at Autostrade. From a business perspective, it is fast, complete, easy to understand, and user-friendly. From an IT perspective, it is agile, scalable, and continuously upgradeable."
"Thanks to the catalog, everyone knows where to find the data they need, who owns it, and how to get access—so we avoid endless emails and work much more efficiently."
