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Legacy System Modernization Without Losing the Business Logic. An old system may be difficult to maintain while still containing years of operational rules, records and workflows that the business cannot simply discard.
Xupyter helps modernize legacy applications by separating what must be preserved from what needs to change, then moving the operation toward maintainable software in controlled stages.

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Capability | What it handles |
|---|---|
Legacy workflow and | business-rule assessment. |
Modern replacement modules | for selected processes. |
Data migration and | controlled synchronization. |
Integration layers between | old and new systems during transition. |
Modern role-based interfaces | and operational workflows. |
Audit and historical | record preservation where required. |
Phased cutover and | support planning. |
AI capability | What it does | Human control |
|---|---|---|
AI workflow capability | AI can help extract and classify information from legacy documents and records during migration. | Use only where the workflow has a defined human-control boundary. |
Natural-language queries | Natural-language access can be added to selected modernized records. | Limited to permitted business records and actions. |
Summarization | AI can summarize historical customer or operational records. | Users review the generated summary before relying on it. |
AI workflow capability | AI can assist staff with navigating or interpreting migrated information where appropriate. | Use only where the workflow has a defined human-control boundary. |
AI workflow capability | AI should remain separate from critical business rules unless the use case has been explicitly tested and approved. | Use only where the workflow has a defined human-control boundary. |
Stage | What happens | Client involvement |
|---|---|---|
Discovery | identify dependencies, workflows, data, business rules and operational risks. | Explain the current process, users and constraints. |
Planning | choose the processes to modernize first and define migration and coexistence stages. | Confirm priorities, scope and required integrations. |
Development | build replacement workflows and required integration layers. | Review working increments and provide operational feedback. |
Testing and launch | compare old and new behavior using real scenarios and migrate agreed data. | Validate real scenarios and approve the production workflow. |
Support | stabilize the modernized system and continue the transition where additional legacy areas remain. | Provide feedback as requirements and processes change. |

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