AI-Assisted Modernization
Modernize faster. Reduce risk. Scale with confidence.
AI-Assisted Modernization helps organizations accelerate application and platform modernization by combining deep engineering expertise with AI-driven analysis, automation, and decision support. Instead of treating modernization as a linear, high-risk migration effort, Xebia uses AI to guide prioritization, architecture choices, refactoring strategies, and execution—delivering faster outcomes with greater certainty.
This approach enables enterprises to modernize complex, legacy-heavy environments while maintaining business continuity, security, and compliance.
What It Delivers
AI-Assisted Modernization applies AI across the full modernization lifecycle—from assessment to execution—to improve speed, accuracy, and decision quality.
- Faster time-to-modernization through AI-driven code and architecture analysis
- Lower modernization risk by identifying dependencies, bottlenecks, and failure points early
- Smarter investment decisions using AI-supported prioritization and roadmap planning
- Scalable execution with automation-assisted refactoring, migration, and validation
Why AI-Assisted Modernization
Traditional modernization programs rely heavily on manual assessments, static assumptions, and sequential execution. This often leads to scope creep, delays, and unexpected technical debt.
AI-Assisted Modernization changes the model by embedding intelligence into every phase of the journey:
- AI analyzes existing applications, data flows, and infrastructure at scale
- Recommendations are continuously refined as execution progresses
- Engineering teams focus on high-value work instead of manual analysis
The result is a modernization program that adapts as it moves—rather than locking decisions in too early.
Our Approach
Intelligent Assessment & Discovery
We use AI-supported tooling and expert review to analyze applications, architectures, data dependencies, and operational constraints. This creates a fact-based baseline for modernization decisions.
AI-Guided Modernization Strategy
Based on assessment insights, we define the optimal modernization path—rehost, replatform, refactor, rebuild, or retire—aligned to business goals, risk tolerance, and cloud strategy.
Assisted Execution
AI accelerates execution through automated analysis, refactoring support, testing assistance, and migration validation, while Xebia engineers ensure architectural integrity and delivery quality.
Continuous Optimization
Modernization does not stop at go-live. We continuously optimize performance, cost, resilience, and security using AI-driven insights and cloud-native best practices.
Key Use Cases
Modernizing large, tightly coupled legacy applications
Accelerating cloud migration programs with high complexity
Reducing technical debt while enabling faster product delivery
Preparing application landscapes for AI-native and data-driven use cases
Improving reliability, security, and scalability without full rewrites
Built for Enterprise Reality
Traditional modernization programs rely heavily on manual assessments, static assumptions, AI-Assisted Modernization is designed for real-world enterprise environments:
- Complex legacy stacks
- Regulatory and security constraints
- Business-critical workloads
- Multiple teams and stakeholders
Xebia combines AI capabilities with proven cloud, data, and software engineering expertise to ensure modernization delivers measurable business impact—not just technical change.
Outcomes You Can Expect
Accelerated modernization timelines
Reduced delivery and operational risk
Improved Supplier Relationships
Clear modernization roadmaps and decision transparency
Cloud-ready platforms built for future innovation, including AI and data workloads
Get Started
Whether you are at the start of a modernization initiative or looking to unblock a stalled program, AI-Assisted Modernization provides a faster, more controlled path forward.
Talk to our experts to assess where AI can accelerate your modernization journey.
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