LLMOps by CGI
Cross-industry solution developed by CGI and powered by the Databricks Data Intelligence Platform.
Enterprises are deploying LLMs faster than they can evaluate them. Manual, fragmented testing creates bottlenecks, uneven quality standards, and gaps between offline results and real-world performance. CGI LLMOps is a model-agnostic accelerator that automates evaluation and governance across the model lifecycle, including models trained or hosted outside Databricks. Built on Mosaic AI, MLflow, and Unity Catalog, it applies a three-tier LLM-as-a-Judge architecture combining fast AI scoring, algorithmic precision metrics, and human-in-the-loop review. Continuous feedback loops route production insights back into offline evaluation, so judge accuracy improves over time. A configurable codebase, Databricks Asset Bundles, and pre-built dashboards deliver real-time visibility into quality, drift, and performance.
Benefits of LLMOps include:
- 4x faster model deployment through automated evaluation workflows
- 80% less manual QA effort with AI-powered quality gates
- 10x more evaluation coverage across release cycles
Fill out the form on the right to get in touch with the CGI team to learn more about this solution.