PRODUCTION READINESS
Turn your AI-built prototype into a production-grade system
AI tools make it faster to build software, but speed can hide risks in architecture, security, maintainability, cost control, and scaling readiness. We review your product, identify what matters, and help you fix the issues before they block growth.
We help you know if your system is safe to scale, identify hidden security and AI-specific risks, and get a practical remediation plan before they block your growth.
Scale-readiness verdict
Risk visibility
Remediation plan
Production-ready
What we check
From AI-generated code to production risk
Code quality
We review structure, maintainability, test coverage, duplicated logic, fragile patterns, and areas that are difficult to extend.
Security risks
We look for insecure defaults, weak access control, unsafe data flows, dependency risk, and vulnerable implementation patterns.
Architecture
We assess whether the system can support real users, future teams, integrations, and scaling requirements.
AI-specific risks
We review prompt injection exposure, unreliable AI behaviour, data leakage risks, and weak guardrails around LLM usage.
Technical debt
We identify what must be fixed now, what can wait, and what may become expensive if the product scales.
WHY IT MATTERS
AI-built products often look finished before they are ready
Common risks we find
- Prompt injection exposure
- Hidden vulnerabilities in generated code
- Dependency sprawl
- Poor separation of business logic
- Missing observability and fallback handling
- Uncontrolled LLM cost and latency
- Fragile architecture built around early MVP assumptions
AI-assisted development is powerful, but it can also create systems that grow faster than their architecture. The product may work in a demo, but still carry hidden risks in security, maintainability, data handling, cost control, and operational reliability.
How it works
A practical path from quick scan to scale-up support
Rapid assessment
We review the product, repository structure, architecture, AI usage, security posture, and scaling concerns.
Deep dive
We inspect critical areas in more detail, including code quality, dependencies, data flows, AI behaviour, infrastructure, and risk hotspots.
Remediation plan
You receive a clear, prioritised plan showing what to fix first, why it matters, and what effort is involved.
7 days
Readiness scan
6 risk areas
100% review
Prioritised
Fix roadmap
WHY COMPETA
We don't just assess. We help you fix, stabilise, and scale.
Many assessments stop at a report. Competa helps you understand the risks, decide what matters, and move from findings to implementation.
Traditional audit firms
- Identify risks
- Produce reports
- Stop at recommendations
- Leave implementation to your team
- Often require another vendor for next steps
Competa IT
- Assess and explain the real risks
- Prioritise what matters most
- Help fix architecture, security, and maintainability issues
- Support stabilisation and scaling
- Act as a single point of responsibility, with specialist partners where needed
Start with a quick scan
Request a 1–2 day AI Product Readiness assessment to understand the biggest risks before you scale, fundraise, or rebuild.
Request assessmentNeed technical support?
Book an intake to discuss assessment, remediation, stabilisation, or scale-up support.
Book intakeFAQ
Questions founders and teams often ask
Ready to know if your AI-built product can scale?
Book a meeting and we'll help you understand the risks, priorities, and next steps.
Book a meeting