A strategic collaboration agreement (SCA) is a formalized, multi-year partnership between a cloud provider and a technology services firm designed to align their resources, expertise and go-to-market strategies around shared goals. On April 2, 2026, CGI, one of the largest independent IT and business consulting firms in the world, announced exactly this type of agreement with AWS (Amazon Web Services). The deal is focused on accelerating trusted artificial intelligence innovation, advancing secure cloud adoption and streamlining digital transformation for U.S. public sector organizations, including government agencies, educational institutions, nonprofits and healthcare providers.
In this article, we will discuss what this collaboration entails, why it matters for government technology modernization and what it signals about the broader direction of AI in the public sector. We will also explore the specific focus areas of the partnership, examine how both companies are positioned to deliver on their promises and consider the wider industry context that makes this deal especially timely.
TL;DR Snapshot
CGI and AWS have signed a multi-year strategic collaboration agreement to bring advanced AI and cloud solutions to U.S. public sector organizations. The partnership combines CGI’s deep understanding of government missions with AWS’s cloud infrastructure, targeting areas like cybersecurity, fraud prevention, citizen services and legacy system modernization. It arrives at a moment when nearly 90% of federal agencies are either planning to adopt or already using AI, making trusted delivery partners more important than ever.
- The partnership targets five key areas: trusted AI adoption, Zero Trust cybersecurity, government data interoperability, citizen-facing digital services and legacy system modernization.
- CGI brings significant public sector depth: with 94,000 professionals globally, Premier Tier Services status on AWS and thousands of AWS-accredited staff, CGI is well positioned to execute at scale.
- The deal reflects a broader industry shift: federal agencies are moving beyond AI experimentation toward operational, mission-critical deployments, and they need experienced systems integrators to help them get there.
Who should read this: Government technology leaders, public sector IT consultants, federal contractors, cloud and AI strategists and anyone following the evolution of digital government.
What the CGI-AWS Collaboration Actually Covers
The agreement between CGI and AWS is built around deploying scalable, mission-critical solutions that address some of the most pressing challenges in the U.S. public sector. Rather than a vague statement of intent, the partnership outlines concrete areas of focus.
First, the two companies plan to accelerate trusted AI adoption across government missions. This includes analytics, fraud prevention and operational decision support, areas where AI can deliver measurable efficiency gains if deployed responsibly. Second, the collaboration targets the strengthening of Zero Trust cybersecurity architectures, a priority for any organization handling sensitive government data. Third, CGI and AWS aim to unlock value from government data by improving interoperability and accessibility across agencies. Fourth, the partnership will focus on improving citizen-facing digital services to increase responsiveness and access. And fifth, the two firms will continue modernizing legacy government systems by migrating them to secure, cloud-based platforms.
The collaboration also includes dedicated investments in cloud and AI training and certification programs to deepen the expertise of CGI professionals who are driving public sector outcomes. This workforce development component is a signal that both companies are thinking beyond individual project delivery and toward building long-term institutional capacity.
Why This Partnership Matters Right Now
The timing of this announcement is far from coincidental, the U.S. public sector is at a pivotal moment in its relationship with AI and cloud technology. According to a recent Google Public Sector-commissioned survey of 250 federal IT leaders, nearly 90% of respondents working for agencies are planning to or are already using AI. The question is no longer whether the government will adopt AI, but how quickly and how effectively it can be operationalized.
At the same time, industry leaders at companies like Oracle (read our Oracle AI Data Platform report) and Cisco (read our Cisco DefenseClaw breakdown) have noted that the public sector is shifting away from chatbot-style AI experiments toward more actionable, outcome-driven investments in AI systems. Government agencies want AI that solves real problems, such as automating claims processing, detecting fraud and improving supply chain logistics, not just proof-of-concept demos.
This is where partnerships like the CGI-AWS agreement become critical. Federal agencies rarely build these systems entirely on their own. They rely on experienced systems integrators who understand both the technology and the unique regulatory, security and compliance requirements of the public sector. CGI Federal is among a group of leading federal systems integrators reporting growing demand for agentic AI across all federal sectors. Pairing that domain expertise with AWS’s cloud infrastructure creates a delivery model that can move at the speed agencies now require.
What CGI and AWS Each Bring to the Table
Understanding why this partnership is significant requires looking at what each party contributes.
CGI is among the largest independent IT and business consulting services firms in the world, with 94,000 consultants and professionals across the globe. The company has deep roots in the U.S. public sector. CGI Federal, its U.S. government-focused subsidiary, has been delivering technology solutions to federal agencies for years, including a recent $64 million contract with the Environmental Protection Agency to modernize its financial management platform using AI and automation within an AWS environment.
CGI holds more than 1,000 dedicated AWS professionals and maintains Premier Tier Services status, the highest tier in the AWS partner program. This means CGI has already demonstrated a track record of successful AWS deployments and maintains a large bench of certified cloud professionals. The company also offers programs like its “12 Weeks to AI” initiative, which helps organizations go from strategy development to active AI deployment in a structured timeline.
AWS, for its part, brings its vast cloud infrastructure, including the GovCloud (US) regions specifically designed for government workloads that require strict compliance with federal security standards. AWS also brings its growing portfolio of AI and machine learning services, including Amazon Bedrock for generative AI and Amazon Q for enterprise AI assistants, to the table.
Together, the two organizations plan to pursue joint go-to-market strategies focused on cybersecurity, fraud prevention and citizen services, ensuring that their combined capabilities reach the agencies that need them most.
The Bigger Picture: AI in the Public Sector Is Growing Up
This deal does not exist in a vacuum. It is part of a much larger wave of strategic collaboration agreements between cloud providers and systems integrators targeting the public sector. Earlier in 2026, NTT DATA announced a similar multi-year SCA with AWS to help enterprises modernize legacy systems and adopt agentic AI responsibly. AWS itself has invested over $115 million since launching its AI Competency program in 2024, growing its partner base from 45 to 360 in that period.
The U.S. government rolled out several major AI initiatives in 2025, including an executive order to reduce barriers to AI development, guidance from the Office of Management and Budget to standardize agency AI use and the release of America’s AI Action Plan to accelerate innovation. These policy moves have created both the mandate and the momentum for agencies to adopt AI at scale.
But policy alone does not solve the practical challenges. Data readiness remains a critical hurdle, as AI models are only as reliable as the data used to train them, and fragmented data environments with inconsistent standards continue to limit the scalability of AI deployments. This is precisely the kind of challenge that an experienced integrator like CGI, working hand-in-hand with AWS, is positioned to help agencies solve.
The CGI-AWS collaboration is a strong example of how the public sector AI market is maturing. It has moved beyond the era of one-off pilots and into the phase where long-term, multi-year partnerships are needed to deliver sustained results.
What to Watch Going Forward
Several aspects of this partnership will be worth watching in the months ahead. The first is execution. Multi-year SCAs are only as valuable as the outcomes they produce, and the public sector has a long history of ambitious technology plans that stall during implementation. The training and certification investments built into this agreement suggest both parties are aware of this risk and are working to address it from the start.
The second is the competitive landscape. CGI is not the only systems integrator vying for a larger share of the federal AI market. Companies like Accenture Federal Services, Booz Allen Hamilton, CACI, Leidos and SAIC are all investing heavily in agentic AI capabilities and deepening their own cloud partnerships. How CGI differentiates its offerings, particularly around mission-specific solutions for fraud prevention and cybersecurity, will be a key factor in its success.
The third is how agencies respond. Government procurement cycles are long, and the appetite for AI adoption can shift quickly depending on budget pressures, leadership changes and evolving threat landscapes. The flexibility and scalability of the solutions CGI and AWS deliver will determine whether this partnership becomes a model for others to follow.
Frequently Asked Questions
CGI is a Canadian multinational IT consulting and systems integration company founded in 1976. It is one of the largest independent technology and professional services firms in the world, employing approximately 94,000 people. CGI Federal is its U.S. subsidiary focused on serving government agencies.
AWS is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies and governments. It is the world’s largest cloud infrastructure provider, offering services that range from computing power and storage to machine learning, analytics and security. AWS GovCloud (US) is a set of regions specifically designed for government workloads that need to meet strict compliance and security requirements.
Zero Trust is a security model based on the principle that no user, device or system should be automatically trusted, whether inside or outside the network. Instead, every access request is verified before being granted. It is a major priority for U.S. government agencies, which are required to implement Zero Trust architectures under federal cybersecurity directives.
In the context of government, digital transformation refers to the process of modernizing legacy IT systems, adopting cloud-based platforms, integrating AI and data analytics into operations and improving the delivery of digital services to citizens. It is a broad initiative that touches everything from how agencies manage their internal operations to how they interact with the public.
This is a structured consulting engagement offered by CGI that guides organizations through the process of developing an AI strategy, identifying high-value use cases, building machine learning models and creating a roadmap for scaling AI investments. It is designed to help clients move from exploration to actionable AI deployment in a compressed timeframe.
Agentic AI refers to AI systems that can autonomously initiate actions, make decisions and complete multi-step tasks without requiring constant human direction. In the public sector, agentic AI is being explored for use cases like automating document review, processing benefits claims and managing network traffic. It represents the next evolution beyond simple chatbot or search-based AI tools.
