Under the guardrails of responsible use, AI can deliver trusted outcomes.
EfficiencyAutomate processes and decision-making to increase efficiencies and potentially reduce costs. |
RevenueGain insights on each customer's unique behavior, preferences and needs. |
Risk managementImprove risk management and regulatory compliance. |
ResilienceMaximize uptime and life expectancy of critical systems and infrastructures. |
SustainabilityAdvance sustainability objectives, carbon reduction and tracking through insights and tools. |
CGI employs the “4 Es” approach, which outlines AI imperatives for action. Using proven methods, technology expertise and thought leadership, we help clients iteratively set their vision, evaluate ROI-led use cases, build future-fit and adaptive foundations and scale and operate a multi-model ecosystem of AI systems and solutions.
Envision
Set your AI vision
|
Explore
Evaluate ROI-led use cases
|
Engineer
Build future-fit and
adaptive foundations |
Expand
Accelerate value and operate responsibly
|
Through a combination of deep industry insights, scientific rigor, responsible use of AI guardrails and human-centric principles, our consultants focus on accelerating trusted outcomes for clients. Learn more about our AI offerings.
Accelerating outcomes
We use proven tools, intelligent solutions, multi-modal AI ecosystems, platforms and global alliances to help organizations harness AI to optimize asset maintenance and predictive maintenance, identify and bridge data gaps, and improve cost efficiency and free up IT investment from technical debt.
Scaling AI impact
Our industry insights, experience and end-to-end capabilities help clients adopt and develop AI innovations, which are increasingly critical to advancing the energy transition. For example, CGI’s hybridization model uses AI to evaluate, control and recommend actions to optimize the performance of hybrid renewable energy assets and enable timely, strategic operational decisions with real-time data.
Embedding responsibly and sustainably
AI is shaping energy transition activities and accelerating ESG reporting by analyzing both structured and unstructured data, while Generative AI helps provide data-based guidance for business and sustainability decision-making.