Service 03
AI Rescue & Production Hardening
Already Built Something With AI? We Can Help Make It Production-Ready.
A lot of AI-generated work looks finished in a demo and falls apart under real users. This is what we specialize in fixing: audit, architecture, evaluation, hardening, and deployment.
What this covers
Prototype audit
Architecture review
Bug fixing and refactoring
AI evaluation and reliability improvements
Performance, security, deployment, and monitoring
If this sounds familiar
The prototype works, but breaks with real users.
The agent gives inconsistent outputs.
The SaaS application has bugs or weak architecture.
AI-generated code has become difficult to maintain.
APIs and integrations are unreliable.
You do not know what needs to change before launch.
What we audit
| Area | What we inspect |
|---|---|
| Product | User workflow, business requirements, failure cases |
| Architecture | Application structure, data flow, maintainability |
| AI | Model/system design, prompts, retrieval, tool execution |
| Reliability | Error handling, retries, fallbacks, inconsistent behavior |
| Security | Authentication, authorization, secrets, data handling |
| Performance | Latency, bottlenecks, API and database behavior |
| Evaluation | How quality and regression are measured |
| Deployment | Production readiness, observability, rollback and monitoring |
Where we've done this
AI Publisher
A retired AI model ID, a silently-failing token ledger, and a race-condition autosave bug, found, root-caused, and fixed in a real shipped product.
View case study →SMGSC Portal
Dedicated accessibility and security audit passes that shipped concrete fixes, including contrast corrections across ~90 files, rate limiting, and upload verification, not just a findings list.
View case study →