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Generative AI
Cloud
Testing
Artificial intelligence
Security
February 26, 2025
For many organizations, the answer is no. The promise of cloud—where supply and demand are always in alignment, where costs are optimized, where innovation moves at the speed of business—is still frustratingly out of reach.
And the culprit? A legacy application portfolio that was built for another era. Even when running in an IaaS (Infrastructure as a Service) environment, these applications drag down performance, inflate costs, and limit agility. Here’s how:
One of the biggest promises of cloud computing is dynamic scalability—the ability to scale up when demand is high and scale down when it’s low, ensuring that resources (and costs) are always right-sized. But legacy applications, even when running on virtual machines in the cloud, weren’t designed to scale elastically. They expect fixed infrastructure, which means:
Simply put, without modernizing application architectures, cloud remains just another costly data center—only now, it’s someone else’s hardware.
When your applications are still rooted in decades-old architectures, you need people who understand those architectures—and that’s expensive.
The result? High costs, slow hiring, and a growing tech debt that stifles innovation.
The rapid evolution of Generative AI, intelligent automation, and hyper-personalized user experiences is changing the way companies engage with customers and employees. But if your applications are still tightly coupled, running on outdated codebases, and dependent on legacy integrations, adding these modern capabilities is a nightmare.
If you’re trying to embed AI, improve user experiences, or speed up innovation cycles, legacy application constraints will slow you down at every step.
Data-driven decision-making is only as good as the data you can access. But many legacy applications were built long before modern data-sharing principles came into play. They:
That means your company is still making fragmented decisions based on incomplete data, rather than leveraging the full power of cloud-scale analytics, AI-driven insights, and automated decision-making.
If your organization has simply lifted-and-shifted legacy applications to the cloud, you’re not truly unlocking the value of cloud. The path forward requires modernizing application portfolios, including:
Cloud isn’t just about moving workloads—it’s about unlocking business agility, efficiency, and innovation. If your legacy applications are still forcing you to overprovision resources, maintain outdated skillsets, slow down innovation, and fragment your data strategy, then you haven’t truly completed your cloud journey.
It’s time to move beyond just being “in the cloud” to actually leveraging the cloud—and that starts with application modernization.
Sogeti has helped hundreds of clients modernize their application portfolios. With our best-in-class accelerators and tools, our broad base of skillsets across the software technology landscape, our depth in AI-Amplified Agile Quality Engineering and automation, and our strong alliances across all major Hyperscalers, we are ready to help jumpstart your modernization journey.
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Vice President | Global Head of Portfolio & Partners
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