Legacy System AI Modernization Layer
A phased modernization approach that wraps legacy systems with modern APIs and AI-ready integration layers, allowing gradual replacement without a risky big-bang migration.
Challenge
Legacy systems hold critical business logic but are hard to integrate with modern AI and cloud tooling. Full rewrites are expensive and risky, and they stall AI initiatives that need access to the data and actions those systems control.
Solution
We demonstrated a strangler-style approach: an API and event layer is placed in front of the legacy system, exposing its data and actions through modern, documented interfaces. New AI and automation features build against the new layer, while functionality is migrated incrementally and safely.
Business value
- Modernise incrementally without a high-risk big-bang migration
- Unlock legacy data and actions for AI and automation
- Reduce long-term maintenance and integration cost
Technologies
- Python
- FastAPI
- PostgreSQL
- Oracle integration concepts
- REST APIs
- Event-driven workflows
- Monitoring
- Audit logs
Relevant roles
- AI Integration Engineer
- Python Backend Engineer
- Data Engineer
Next step
Discuss a similar project
We can adapt this pattern to your systems and provide the engineers to build it. Reach us at info@inovativi.com.