AI Assisted App Modernization
App Innovation
Motivation
Modernizing legacy applications is essential — but assessing and transforming complex portfolios is often time-consuming, high-risk, and resource-heavy. Traditional methods can’t keep pace with the need for speed and precision. With AI-Assisted App Modernization, PRODYNA combines expert-led architecture services with AI-powered analysis tools to accelerate assessment, reduce technical debt, and define clear modernization strategies. This lets you prioritize high-impact apps, uncover hidden dependencies, and confidently transition to modern, cloud-native environments.
What we bring
With our unique blend of modernization expertise and AI-driven tooling, PRODYNA supports your transformation with:
- AI-powered code and architecture assessment (e.g., GitHub Copilot, Azure Migrate, CAST Highlight, vFunction)
- Portfolio segmentation by complexity, value, and risk
- Target state architecture design (modular, scalable, secure)
- Strategic modernization roadmap: rehost, refactor, rebuild
- Cloud-native enablement: containers, CI/CD, observability, platform readiness
- Tooling and governance recommendations
What you need
All you need is access to your application source code, architectural documentation, and a core team of stakeholders (IT, operations, security, and business). We’ll take care of the rest—from automated analysis to strategy delivery.
What you get
We guide you through a structured and transparent process that blends AI insights with deep architectural expertise. You receive a validated modernization strategy, target architectures, and a step-by-step roadmap to execution—aligned with your business goals.
AI Discovery & Portfolio Scan
(approx. 3–8 weeks)
Use AI tools to analyze your source code, architecture, and dependencies.
Create a categorized overview by modernization feasibility and business value.
Strategy & Priorization
(approx. 2–5 weeks)
Conduct workshops to define modernization goals, group apps by modernization type (e.g., rehost, refactor), and prioritize by ROI.
Target Architecture & Platform Design
(approx. 2–5 weeks)
Design future-ready, modular, and cloud-native target states. Include CI/CD integration, runtime models, and platform readiness.
Roadmap & Enablement Planning
(approx. 1–3 weeks)
Deliver an actionable roadmap with responsibilities, milestones, and toolchain recommendations. Empower your teams through enablement and governance alignment.
Quick facts
- Duration: 8-21 weeks
- Deliverables: AI analysis report, modernization strategy, architecture blueprint, and roadmap
Benefits
- Accelerated analysis through AI-assisted tooling
- Faster, more confident modernization decisions
- Transparency on technical debt, dependencies, and risks
- Modular, cloud-ready architectures
- Clear prioritization of modernization waves
- Empowered teams through governance and platform alignment
