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Solution Strategy ​

Constraints ​

  • Resource Limitations: Limited availability of human resources, including key roles such as Engineering Manager, Back-end Team Lead, and System Architect, may affect the project timeline and scope.

  • Compliance Requirements: Adherence to GDPR (UK) and POPIA (South Africa) regulations will impose strict data handling, storage, and privacy requirements on the system design and operations.

  • Integration Dependencies: Dependence on Azure services (Azure AD, Azure Open AI, Azure Document Intelligence) requires seamless integration and may be impacted by changes in these services or their availability.

  • Performance and Scalability: The system must be designed to handle high volumes of document uploads and AI queries efficiently, which may require significant optimization and resource management.

  • Security Measures: Implementing robust security features, such as multi-factor authentication, data encryption, and regular security audits, is essential to protect sensitive data but may add complexity to the development process.

  • Budget Constraints: The project must be completed within a fixed budget, limiting the scope for extensive development, testing, and feature expansion.

  • User Adoption: Ensuring user adoption and training is crucial, but users may resist changing existing workflows or learning new systems, necessitating comprehensive training and support.

  • Technology Stack: Choice of technology stack, including Nuxt.js for the frontend, FastAPI for the backend, and Django for microservices, must be compatible and meet performance, scalability, and security requirements.