If modernization doesn’t deliver outcomes you can count on, it’s not modernization. It’s just an initiative. Across industries, organizations are investing heavily in cloud, core platforms, data, AI and digital capabilities. At the same time, AI is reshaping the economics of modernization by reducing delivery costs, accelerating time to value and enabling earlier gains.
Yet increased modernization activity does not automatically translate into improved enterprise performance. Organizations continue to face rising expectations, cost pressures, workforce constraints and legacy technology, while structural cost, complexity and risk remain. AI isn’t creating those pressures; it’s changing how organizations can respond to them.
For years, leaders have understood that modernization should be managed as a business discipline. In practice, however, modernization often became a collection of technology initiatives, with business impact assumed rather than actively managed.
Initiatives end. Outcomes stick.
Modernization investment is accelerating, but performance isn’t always keeping pace. Modernization creates value only when it improves enterprise performance, not simply the technology an organization runs. For leaders, that means looking beyond delivery milestones to the impact modernization has on the business:
- Economic: Lower cost-to-serve, improved productivity and stronger margins
- Operational: Increased speed, resilience and scalability
- Customer: Enhanced experience, retention and sustainable growth
- Risk: Strengthened compliance, transparency and control
CGI’s 2026 Voice of Our Clients research shows that more than 50% of executives plan to modernize 20–80% of their core business applications over the next two years.
Nearly half still cite legacy systems as the primary barrier to achieving their digital strategy. Organizations continue to invest heavily in modernization, yet costs remain high, technical debt persists and improvements often occur in isolated pockets rather than across the enterprise. The cost of standing still rises with time: maintaining aging systems can increase costs, deepen technical debt and make future modernization more difficult.
Why this time is different
For decades, organizations faced a difficult trade-off between large-scale transformations that were costly and disruptive and incremental improvements that rarely delivered enterprise-wide impact. AI is changing that equation by making modernization faster, more practical and more cost-effective. Leaders can now sequence targeted improvements to deliver measurable value sooner, creating momentum and funding future modernization efforts.
Several capabilities are making this possible:
- AI-augmented software development life cycle (SDLC) capabilities that accelerate analysis, design, testing and documentation while strengthening control
- Automation at scale for migration, testing and operations
- Platform engineering and reusable foundations that reduce long-term cost-to-serve
- Modern data interoperability that unlocks insight without full core replacement
- Security and compliance embedded throughout delivery and operations
AI can accelerate modernization, but speed alone does not create value. The organizations that consistently move the needle pair AI with strong governance, clear ownership and disciplined execution. Accountability extends beyond implementation into measurable enterprise performance, allowing early gains to compound into lasting business value.
From delivery to lasting value
Organizations that achieve tangible results tend to share several characteristics:
- Outcome categories anchored to business and operational performance metrics and reviewed at the portfolio level
- Named executive sponsors accountable beyond implementation
- Reinvestment of validated savings to sustain momentum
- Operating models and incentives that reinforce new ways of working
When ownership is clear and outcomes remain visible, modernization becomes self-reinforcing. Early gains compound, investment decisions improve and performance advantages endure.
The executive perspectives that follow show how this shift is playing out across retail, state and local government, utilities and banking industries. While priorities may differ, from protecting revenue and public value to strengthening reliability and reducing technology debt, the need for underlying discipline remains the same: connecting modernization investment to performance improvements that matter most.
Industry perspectives
- Banking: Reducing technology debt to fuel growth.
- Retail: Building resilience in an AI-powered retail marketplace
- State and local government: Balancing innovation, risk and public trust.
- Utilities: Accelerating change while protecting reliability.
Banking: Reducing technology debt to fuel growth
Banks are under growing pressure to reduce technology debt, meet rising customer expectations and respond to an increasingly complex regulatory environment. Rather than simply accelerating delivery, AI is changing the financial equation behind modernization, helping banks reduce technology debt while delivering business value sooner.
Drawing on decades of experience helping financial institutions modernize complex technology environments, we spoke with Manoj Mishra, a leader in our banking practice, about why modernization has become an economic imperative and how AI is reshaping the path forward. He shares his perspective on how AI is changing the economics of banking modernization – and how banks can reduce technology debt, strengthen resilience and redirect investment toward innovation and growth.
Read more about banking modernization
Retail: Building resilience in an AI-powered retail marketplace
Retailers face constant pressure to improve efficiency, respond faster to changing consumer behavior and protect already thin margins. At the same time, AI is reshaping both how they operate and how consumers shop.
We spoke with Bernard DeLisi, a leader in our retail practice, about how organizations can modernize successfully while maintaining operational stability and business value. He shares his perspective on how AI is changing retail modernization – and how retailers can strengthen resilience, improve operations and create lasting customer value.
Read more about retail modernization
State and local government: Balancing innovation, risk and public trust.
State and local governments are navigating a complex mix of aging technology, evolving constituent expectations, workforce constraints and increasing demands for operational efficiency. As agencies balance innovation with responsibility, AI is creating new opportunities to modernize faster while maintaining public trust.
We spoke with Virginia Williams, a leader with extensive experience in state and local government consulting, about how agencies can modernize successfully while managing risk and delivering measurable public value. She shares her perspective on how AI is changing government modernization – and how agencies can balance innovation with responsible governance, manage risk and deliver measurable public value.
Read more about government modernization
Utilities: Accelerating change while protecting reliability
Utilities have spent decades modernizing critical systems that support grid operations, customer service, asset management and regulatory compliance. But today's modernization environment looks very different from it did even a few years ago.
Reliability remains non-negotiable, but AI is giving utilities new ways to modernize without compromising operational stability. At the same time, they must balance innovation with reliability, cybersecurity, regulatory requirements and public trust. As a result, successful modernization efforts are increasingly focused on business outcomes, disciplined governance and long-term adaptability rather than technology upgrades alone. We spoke with Douglas leal, a leader in our utilities practice, about his perspective on how AI is accelerating utility modernization – and how utilities can move faster while protecting the reliability, resilience and operational stability customers depend on.
Read more about utilities modernization
AI-enabled modernization that meets the moment
Across industries, one message is clear: organizations are no longer asking whether they should modernize. They’re asking how to do it in ways that adapt to constant change and improve performance over time. AI is making that journey faster and more achievable than ever before. But technology alone doesn’t determine success. Organizations that consistently move the needle combine modern platforms with disciplined execution, strong governance and clear ownership.
At CGI, we help organizations modernize with purpose. Our industry specialists, business consultants and technology experts work alongside clients to balance innovation with operational realities, applying deep sector knowledge and proven delivery experience to accelerate modernization and reduce technology debt, strengthen resilience and improve the experiences they deliver. Because modernization isn’t measured by what you implement. It’s measured by how the organization performs afterward
