CGI Secures Dual Databricks Brickbuilder Specializations In Public Sector And Generative AI

Specializations recognize CGI's proven experience combining deep industry expertise with governed AI delivery to help clients accelerate adoption and achieve business outcomes

MONTRÉAL, July 20, 2026 /CNW/ -- CGI (NYSE:GIB) (TSX:GIB), one of the largest independent IT and business consulting services firms in the world, today announced it has achieved two Databricks Brickbuilder Specializations in Public Sector and Generative AI (GenAI). The specializations recognize CGI's proven history of helping organizations modernize data foundations, operationalize AI and deliver measurable business outcomes, particularly in complex, highly regulated and mission-critical environments.

As organizations increasingly seek to move generative AI from experimentation to enterprise-scale deployment, success depends on trusted data, strong governance and the ability to integrate AI into core business operations. CGI combines deep industry and domain expertise with end-to-end consulting, systems integration and managed services to help clients apply AI where it delivers the greatest business impact. The Databricks Brickbuilder Specializations recognize CGI's experience helping organizations make that transition responsibly and at scale.

CGI is already delivering these capabilities across industries using the Databricks platform. Examples of measurable client outcomes include:

• For a large telecommunications company, CGI's GenAI-powered LLMOps framework on Databricks—which has been designed to scale across 200+ models—accelerated AI model deployment by a factor of four, reduced manual quality assurance by approximately 80%, improved production accuracy by 10% and expanded evaluation coverage tenfold; and
• For an energy and utilities provider managing large volumes of engineering documentation, CGI's AI-powered Knowledge Assistants use Databricks' AI Search and generative AI capabilities to transform unstructured documents into actionable intelligence, reducing document search time by 85% and enabling faster, insight-driven decision-making across complex projects.