Risk and Technical Debt
While designing the Bristows AI application that integrates complex AI functionalities and handles sensitive legal documents, it's important to consider both risks and technical debt that could impact the project. Here is a detailed explanation of potential risks and technical debt
Mitigation Strategies
a) Security Risks
Regularly update and patch all software dependencies.
Conduct regular security audits and penetration testing.
Implement multi-factor authentication and strict access controls.
b) Compliance Risks (Not in MVP)
Keep up-to-date with relevant data protection regulations and ensure the application complies.
Implement robust data retention policies and ensure they are enforced through automation.
c) Performance Risks
Use load testing to identify and address performance bottlenecks.
Design the system with scalability in mind, including horizontal scaling options.
d) Reliability Risks
Implement redundancy and failover mechanisms for critical components.
Use monitoring tools to detect and respond to system failures promptly.
e) Integration Risks
Regularly review and update integration points with external systems.
Use abstraction layers to minimize the impact of API changes.
f) User Adoption Risks
Provide comprehensive training and support resources for users.
Engage users early in the development process to gather feedback and encourage buy-in.
g) Project Management Risks
Define clear project scopes and manage changes through a formal change control process.
Ensure adequate resource allocation and maintain realistic project timelines.