Service
AI-Built App Hardening
Turn a promising AI-built or contractor-built prototype into a system that can be operated and maintained responsibly.
What this service solves
This service is for an application produced with AI tools or by a previous contractor that works in a demonstration but needs closer technical review before it becomes business-critical. The focus is to find and reduce practical production risks without pretending every problem can be solved in one pass.
Typical symptoms
- The application works locally but has unreliable deployment or environment behaviour.
- Authentication, authorization, secrets, or data access rules are unclear.
- Database migrations are risky or lack a safe path between environments.
- Errors are swallowed, tests are sparse, and future changes feel dangerous.
How the work is approached
- 01
Review the application structure, dependency choices, and most important user and data flows.
- 02
Improve authentication and authorization boundaries where the assessment identifies a need.
- 03
Protect database migrations and add error handling, testing, and monitoring foundations.
- 04
Strengthen deployment reliability and make the code easier for future developers to maintain.
What the client should prepare
- Repository access, deployment details, and the intended user roles.
- A list of the workflows that must be dependable before release.
- Known concerns, errors, and any generated-code tooling that was used.
What a successful handover includes
- A prioritized account of risks addressed and risks that remain.
- Practical changes to tests, errors, deployment, and documentation.
- A maintenance-oriented roadmap for the next increments.
When the service is not the right fit
- A request to certify that an application is secure or compliant without a defined assessment.
- A desire to put sensitive workflows into production without time for review and validation.
- A request to replace product decisions with generated code.