Artificial intelligence has entered a new phase in Canada’s enterprise economy.
For years, AI lived largely in innovation labs and pilot programs, generating momentum but limited operational scale. Today, that posture is shifting. According to Gaurav Juneja, Senior Vice President & Business Unit Leader at CGI, the defining change is not the technology itself but how organizations are embedding it into the core of their business.
“As CGI celebrates 50 years since our founding in Québec City in 1976, the most exciting trend for us is the rapid evolution of enterprise AI, particularly the shift from experimentation to scaled, responsible adoption.”
Appointed in February 2025 to lead CGI’s Greater Toronto commercial and public sector operations, Gaurav oversees strategic growth, client relationships and business development across key industries in the region. In this role, he is responsible for advancing innovative, technology-enabled solutions that deliver measurable value to clients across banking, retail, manufacturing and the public sector, while strengthening CGI’s local presence and long-term partnerships in Ontario.
Embedding AI Where It Matters
The transition underway is structural.
“Organizations across industries are embedding AI, advanced analytics, and intelligent automation into core operations to enhance decision-making, improve productivity, and strengthen resilience,” Gaurav says.
In manufacturing and logistics, AI is improving predictive maintenance and strengthening supply chain visibility. Retailers are refining demand forecasting and personalizing customer engagement. Financial services firms and public sector organizations are modernizing services, strengthening risk management and streamlining operations.
“What defines this moment is not simply the rise of AI, but its integration into broader digital transformation strategies supported by secure infrastructure, strong governance, and high-quality data,” he says. “AI is becoming foundational to how organizations operate and compete.”
For business leaders, the implication is clear. Competitive advantage will not come from experimentation alone, but from integration at scale.
Discipline Before Acceleration
Gaurav cautions against equating speed with success.
“CGI is helping clients adopt AI in ways that are secure, scalable, and aligned with strategic priorities.”
That alignment begins with identifying high-value use cases directly tied to measurable outcomes. Whether improving operational efficiency in manufacturing, enhancing customer experience in retail, strengthening compliance in financial services or enabling more responsive public services, AI initiatives must support long-term objectives.
Equally important is the underlying infrastructure.
“Because AI is only as effective as the environment in which it operates, we work closely with organizations to modernize legacy systems, strengthen data architecture, and ensure systems can seamlessly integrate and share information,” he says.
Modern cloud and hybrid IT environments, robust cybersecurity and integrated data platforms are not optional enhancements. They are prerequisites to responsible scale. Without them, AI risks remaining siloed or underperforming.
CGI’s client proximity model is designed to support that transition. With teams embedded in regions across Canada, including the Greater Toronto Area, the firm combines local accountability with global expertise.
Toronto’s Strategic Influence
Gaurav points to Toronto as a key driver of Canada’s AI trajectory.
“The Toronto region plays a pivotal role in shaping Canada’s AI and digital innovation landscape.”
The region’s diverse economic base, spanning financial services, advanced manufacturing, retail and public institutions, creates a natural testing ground for applied AI. Strong academic institutions and a deep technology talent pool further reinforce its leadership position in responsible AI development and application.
“With CGI’s Canadian roots and long-standing presence in the GTA, we are proud to partner with organizations that are leveraging AI to drive competitiveness, enhance service delivery, and support sustainable growth.”
As global competition intensifies, the region’s ability to translate innovation into productivity gains will be critical to Canada’s broader economic performance.
A Strategy Built for the Long Term
As CGI approaches its 50-year milestone, its AI strategy is framed by longevity rather than urgency.
“As we enter our sixth decade, CGI’s strategy focuses on scaling responsible AI while strengthening the digital foundations that enable long-term innovation.”
That means advancing AI capabilities while modernizing cloud and hybrid environments and enhancing data platforms to support real-time insights and intelligent automation. It also includes sustained investment in talent development to ensure organizations have the skills required to maintain momentum.
For Gaurav, scaling AI responsibly is not a sprint. It is an operating model.
Advice for Leaders Navigating AI
For executives defining their own path, the message is disciplined and direct.
“Anchor innovation in strategic priorities. Ensure AI initiatives directly support your organization’s long-term objectives.”
Strong digital and data foundations are essential, as is prioritizing change management from the outset. AI adoption reshapes processes, roles and decision-making structures, making governance and workforce enablement central to success.
“Organizations that approach AI thoughtfully and holistically will be best positioned to translate technological advancement into lasting competitive advantage.”
In the next phase of Canada’s digital economy, the distinction will not be who experiments first. It will be who builds the foundations to scale.
