Collections leaders constantly face balancing the same priorities: improve recovery performance, reduce cost-to-collect and deliver fair, consistent customer treatment. To address these priorities, AI in collections is steadily gaining traction. AI-assisted collections capabilities can reduce manual effort, improve documentation quality...
For many infrastructure and operations teams, incident management remains a reactive process. Tickets are reviewed, prioritised and resolved one at a time, often under pressure and with limited context. While most organisations have mature ticketing systems in place, they still...
We help NATO use AI and secure communications to accelerate decisions, strengthen collaboration and modernize alliance-wide operations.
Unlocking value through integrated digital, data and AI foundations The energy sector is undergoing unprecedented internal and external change. This extends beyond technology, as the underlying dynamics of the energy system are being...
CGI has been positioned as a Leader in the IDC MarketScape for Worldwide AI Services for State and Local Government 2025 Vendor Assessment. We believe the recognition underscores our integrated approach to delivering AI-powered solutions that help government agencies modernise...
Enterprises are rapidly deploying large language models (LLMs) but scaling them reliably poses a major challenge. Traditional evaluation is often manual, fragmented and too slow to meet production demands. A leading U.S. Telco faced this exact problem with 200+ models...
As artificial intelligence (AI) rapidly reshapes the role of data across industries, financial institutions face a pivotal challenge: ensuring AI is deployed ethically and responsibly. Nowhere is this more critical than in finance, where the consequences of AI-driven decisions can...
If you have a “green” electron about to be produced, what do you do with it? Do you sell it now? Do you store it in a battery and sell it later? Do you make hydrogen? And if you do...
Interest in emerging technologies such as artificial intelligence (AI), machine learning (ML), and cloud computing is growing across organisations, with a strong appetite for experimentation. However, successfully exploring, testing, and implementing these technologies—and achieving meaningful outcomes—requires a well-defined methodology, a...