CGI's approach to using AI to optimize internal operations is centered around leveraging advanced technologies to drive efficiency, accuracy, and cost-effectiveness. By integrating AI into various aspects of its operations, CGI has been able to automate routine tasks, streamline processes, and enhance decision-making.

 

 

 

CGI has been instrumental in helping clients achieve their mission outcomes through the strategic implementation of AI technologies. By leveraging AI-driven solutions, CGI has enabled clients to enhance operational efficiency, improve decision-making, and achieve significant cost savings.

CGI's AI offerings: delivering speed to trusted outcomes

A woman looking at a computer screen of data

As AI’s power accelerates from automation to creation with generative AI (GenAI), we provide best practices for developing guardrails, policies and AI governance. Our models for AI operations (AIOps) address issues of ethical AI, trust, transparency, explainability, fairness, non-bias, data/model/provenance, privacy, security, AI regulations, intellectual property and more. 

 What is responsible AI? 

 

Whether you seek to use AI to innovate business models or optimize operations, we offer four AI imperatives for action, moving from envision to exploration to engineering and expansion. We help clients set their AI strategy, explore ROI-led use cases, build future-fit and adaptive foundations, and scale to accelerate value and trusted outcomes.

 

Envision: Set your AI vision 
  • AI Strategy & Roadmap
  • AI Maturity Assessment
  • Responsible AI (RAI) Principles & Framework
  • Risk & Compliance Management
Explore: Evaluate ROI-led use cases 
  • AI Use Case
  • Ideation & Assessment
  • Discovery, Innovation & Design Sprint
  • AI Proof of Concept
  • AI-powered solutions
Engineer: Build future-fit and adaptive foundations 
  • Responsible AI Operating & Governance Model
  • Organizing AI (AI Center of Excellence)
  • Culture, Change Management & Workforce Training
  • Execution & MLOps 
  • Intelligent Automation 
  • Edge AI  Data
  • Management & Governance
  • Architecture, Infrastructure & Technology Platforms
  • AI Ecosystem 
  • AI-powered solutions
Expand: Accelerate value and operate responsibly
  • AI Managed Services & Operations
  • Optimization & Automation
  • Security & Compliance Governance
  • Cost Management & FinOps
  • AI-powered solutions

 

mentor explaining AI project

It is important to move responsibly from experimentation to implementation, while delivering a high-value return on investment from new AI technologies. CGI’s “Responsible Use of AI” methodology and consulting framework addresses a wide range of potential risks and opportunities, ensuring that we deploy AI solutions on a solid and secure foundation. 

CGI Voices podcast: Grappling with AI risk in federal agencies

Artificial intelligence is rapidly spreading as its capabilities mature and organizations find innovative uses for it. It’s important to understand that AI comes in different forms, and carries with some unique risks. While those risks are manageable, agencies must be aware and ready to mitigate them.

Moreover, AI isn’t a solution for everything. Success requires choosing use cases that are amenable to AI assistance—and knowing which ones are not. In this lively and information discussion, former federal CTO Pete Tseronis and CGI Director Josh Sonnier, Ph.D, unpack the nuances of AI and its use cases.

Watch of YouTube or listen on your favorite podcast platform. 

CGI's Dr. Aisha Behr on ACT-IAC's The Buzz

Aisha Sikder, CGI
Dr. Aisha Behr

Listen to "Education for an AI-driven workforce," an episode of ACT-IAC's The Buzz podcast. CGI's Aisha Behr and Dr. Ioulia Rytikova, professor and associate chair for graduate programs at George Mason University, explore the ramifications of the emerging technology on education. 

Aisha manages the data analytics and artificial intelligence practice at CGI Federal. In this role she leads a team of data scientists and data engineers in developing data analytics products to enable data-driven decision making. She is also an adjunct professor at George Mason University in the Applied Information Technology Department. 

Listen here