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Organizations seeking to adopt and scale an Agentic AI ecosystem require two key elements simultaneously: speed and control. Managing hundreds of agents, consistently evaluating them, and equipping teams with clear templates requires a scalable, future-proof way of working, so they don’t have to rebuild the fundamentals over and over again. The new partner program, Databricks Cross-Industry Partner Accelerators, provides the solution: ready-to-use assets that combine partners’ technical and practical expertise with the core capabilities of the Databricks Data Intelligence Platform. 

CGI has been recognized as a Databricks Loops Accelerator Partner. This designation highlights the mature collaboration between CGI and Databricks, built on repeatable frameworks running on the Databricks Data Intelligence Platform and powered by Mosaic AI capabilities, MLflow and Unity Catalog. In addition, CGI holds the Databricks Select Partner status, confirming our globally certified and highly mature community in data and AI delivery. 

Making AI scalable with templates, automated quality assurance, and governance 

CGI offers a proven LLMOps accelerator framework that standardizes how teams build and scale agents and models. With established “golden paths” (ready-made templates) for designing and developing common agent use cases, quality is measured automatically before deployment. The framework runs entirely on the Databricks Data Intelligence Platform (Mosaic AI), while MLflow and Unity Catalog provide the controls, approvals, and audit trails, ensuring decisions are based on evidence rather than anecdotes. 

A real-world CGI example demonstrates how this works at scale: at a major U.S. telecommunications company, the evaluation of 200+ models was standardized on the Databricks Data Intelligence Platform with Mosaic AI and MLflow, including models built and run on the Databricks platform as externally hosted models (e.g., Triton, LightLLM, JFrog). The result is consistent quality, a clear audit trail, and faster, safer releases. 

Additional references that illustrate the maturity of the framework

  • A leading global payment network achieved 95–100% automated compliance validation with sub-minute reporting through a Databricks-based AI workflow.  
  • A U.S. utility modernized its data platform on Azure + Databricks with Delta Live Tables and CI/CD to automate pipelines 
  • National Highways in the UK unified 350TB across more than 30 pipelines into a Databricks Lakehouse with managed operations.  
  • A major bank migrated its stress-testing to the Databricks platform under tight governance. 

CGI’s recognition as a Databricks Cross-Industry Partner Accelerator reinforces our leadership in scaling LLMOps. With proven frameworks, certified experts, and control-by-design patterns, we help organizations realize value from AI quickly, safely, and compliantly. 

Curious to see what these best practices look like in real-life projects? Read the full article by our Databricks Champion for practical guidance and inspiration: Your data lakehouse journey: insights from our Databricks Champion