Building the Architecture for Scalable AI
We feel this Gartner® report discusses what that shift requires — the architecture, governance model, and success measures for scaling AI through data products.
"Organizations relying on fragmented data pipelines will struggle to scale Al, as agents and business teams cannot reliably discover or access enterprise data assets. Without exposing data products through the MCP, AI initiatives are often hampered by inconsistent data quality, manual workarounds, and governance gaps. These challenges lead to higher operational costs, increased compliance risk, and missed opportunities for automation."
— Gartner®, How to Launch AI-Ready Data Products?, Aug. 2026
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80%
"By 2028, 80% of enterprise AI agent frameworks will use an MCP-style of service discovery and engagement."
— Gartner®
What's in the report
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The AI-ready data product architecture
How to design MCP as a governed access layer — and what separates data products that scale from those that stall.
A real-world enterprise case study
The full architecture, governance model, and Gartner insights for D&A leaders scaling AI across complex, multi-entity environments.
Success measures and benchmarks
Gartner framework for measuring MCP adoption — from time to value and operational efficiency to AI deployment velocity.
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Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
The statistics cited on this page are drawn from Gartner, "How to Launch AI-Ready Data Products?" Soyeb Barot, Aug. 13, 2026 (G00857080). GARTNER is a trademark of Gartner, Inc. and/or its affiliates. All rights reserved.
The description of CData's Managed MCP Platform capabilities reflects CData's own assessment and does not represent Gartner's opinion or constitute an endorsement by Gartner.