Product · Modernization
Modernize without starting over.
Most systems are worth more than their code suggests. We keep what works, replace what holds you back and move you forward without a risky big-bang rewrite.
What is application modernization?
Application modernization is improving an existing system’s architecture, technology and user experience so it becomes easier to change, cheaper to run and ready to integrate — usually incrementally, by wrapping old parts in APIs and replacing them one at a time, rather than rewriting everything at once.
Capabilities
What modernization covers
Architecture assessment
A clear map of what the system does, where it hurts and what is worth keeping.
API enablement
Put stable APIs in front of legacy components so new products and AI can use them.
Incremental migration
Replace components one at a time behind the same interface — the strangler pattern.
Framework and platform upgrades
Move to supported framework and runtime versions with test coverage as a safety net.
Cloud migration
Move workloads to managed infrastructure where it lowers cost or operational risk.
Data modernization
Schema redesign, indexing and migration of data into structures that serve current needs.
UX modernization
Redesign high-friction workflows without retraining everyone on a new product at once.
Performance recovery
Find and fix the bottlenecks that users and infrastructure bills are feeling.
How it works
Modernization, one component at a time
Assess
Stabilize
Wrap
Replace
Retire
Approach
A modernization path that limits risk
Assess
Inventory components, dependencies, data and pain points.
Stabilize
Add tests, monitoring and a deployment pipeline before changing anything important.
Wrap
Expose legacy capabilities through clean APIs.
Replace
Rebuild the highest-value components behind those APIs, one at a time.
Retire
Switch off what is no longer used, and keep the system continuously shippable.
Answers
Questions, answered
Can Prodigi work with our existing technology?
Yes. Most work involves existing systems: extending an application, modernizing it step by step, integrating it with other platforms through APIs, or connecting AI to it. Prodigi assesses what is worth keeping before recommending anything is replaced.
What is AI integration?
AI integration is connecting an AI model to the applications, data and workflows a business already runs, so the AI can use real context and take real actions. Instead of a standalone chatbot, an integrated AI reads from systems such as a CRM, ERP, database or knowledge base through controlled APIs, and returns answers or actions inside the tools people already use.
How does working with Prodigi start?
With a conversation about what you are trying to accomplish. Prodigi then proposes the smallest useful first step — a discovery sprint, a prototype, an audit or a scoped build — with clear outcomes, before any larger commitment.
Keep exploring
Related
Product engineering
Prodigi engineers web applications, mobile apps, SaaS platforms, APIs and cloud backends with architecture, security and performance designed in from the start.
Enterprise integration
Prodigi connects AI models to CRMs, ERPs, databases, e-commerce platforms, internal tools, documents and knowledge bases through secure APIs, RAG and permissioned tools.
AI automation
Prodigi designs AI automation that classifies, extracts and decides inside real business workflows, then triggers actions in existing systems with human approval where it matters.
Is your application slowing the business down?
Describe the system and where it hurts. We’ll suggest where to begin.