The drivers for application transformation

Application transformation tops CIO priority lists, while surging AI usage propels this initiative into the future. For maximum value, agentic AI workflows need to be part of your standard operational processes. Whatever your motivation, now is the time to launch your plans.

The drivers for application transformation

Support AI integration

To prepare and position applications for AI integration and adoption, your organization needs to move them to modern platforms, clearing the way to benefit from future AI modernization of capabilities.

Align transformation with business outcomes

Technology initiatives should boost business benefits. Desired business outcomes from application transformation include lowering costs, strengthening market position and better serving citizens and customers.

Seeking greater agility, organizations are implementing AI-augmented application modernization. Acting as an intelligent assistant, AI sorts through source code and makes it easier to:

Avoid expensive delays and operational issues
Maintain the quality and accuracy of your documentation
Evolve the organization with your systems
Seize potential opportunities for a competitive advantage
Adapt to new technologies

Explore AI-augmented transformation

SUCCESS STORY

Saved $15 million annually

Paint manufacturer Benjamin Moore worked with Unisys to migrate about 300 servers to Microsoft Azure using a proven rehosting approach with minimal business disruption. The company seamlessly migrated its applications to the cloud, gained operational resiliency and cut Azure cloud costs by 19%.