Take Your AI Prototype to Production
Your AI-generated prototype made the idea tangible. DOOR3 turns it into dependable production software. We add the engineering, architecture, security, UX, testing, integrations, and delivery practices needed for a confident launch.
Request a Production Readiness Assessment
From Prototype to Production
- AI Prototype
- Assessment
- Production Engineering
- Launch
Trusted by Leading Brands
What Production Readiness Means for an AI Prototype
A successful demo proves the concept. Production requires a secure, reliable, scalable, and maintainable application that can support real users and business operations.
Security and Access
Secure authentication and authorization, role-based permissions, and the compliance and governance controls your organization already expects.
Data and Recovery
A reliable data architecture, plus backups and recovery procedures that protect real customer and business data.
Architecture and Performance
An application architecture that scales with real usage and performs under production load, not only in a demo.
Code Quality and Testing
Maintainable code and automated tests, so the product can change safely as requirements evolve.
Operations and Observability
Logging, monitoring, and alerting that show how the application behaves in production and help your team respond quickly.
Integration and Ownership
Connections to enterprise systems, accessible interfaces, and clear documentation and ownership for the team that will run the product.
When to Bring in a Production Engineering Team
Bring in a production engineering team when the prototype works in a demo but cannot yet be released, operated, or supported safely.
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It Works in a Demo but Not Under Real Production Conditions
The prototype has not been tested with real users, real production data, realistic traffic, production load, or critical edge cases.
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An Internal Team Built It but Cannot Deploy It
A team built a useful application with an AI coding tool but cannot confidently release, operate, or support it.
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It Needs Enterprise Capabilities
The product requires enterprise authentication, permissions, APIs, payments, or systems integration.
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Risk Is Blocking the Launch
Security, compliance, performance, or maintainability concerns are holding back the release.
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You Need an Independent View
Your team needs an objective decision on what to retain, refactor, or rebuild.
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It Must Connect to Business Systems
The application has to work with your ERP, CRM, document management, data platforms, or other core systems.
Keep the Speed. Add the Engineering Discipline.
AI-assisted coding tools make it possible to validate an idea, explore a workflow, and put something tangible in front of stakeholders quickly. That speed and learning are worth keeping.
Production introduces requirements the prototype was never expected to meet: real users, sensitive data, enterprise integrations, regulatory obligations, and business-critical workflows.
DOOR3 adds the architecture, security, testing, and delivery practices required to close that gap while preserving the value the prototype already created.
How We Make Your AI Prototype Production-Ready
Every engagement starts with a Production Readiness Assessment. From there, we bring in the engineering, product, security, integration, and delivery capabilities required for a confident launch.
Production Readiness Assessment
The codebase, architecture, data, security, infrastructure, and product requirements, reviewed against your launch goals.
- Outcome: a prioritized path to production.
Architecture and Code
Independent architecture and code review, refactoring, performance improvements, and technical debt remediation.
- Outcome: maintainable software that can scale.
Security and Compliance
Authentication, authorization, data protection, dependencies, and governance controls aligned with your regulatory requirements.
- Outcome: reduced operational and compliance risk.
Product, UX, and Accessibility
Workflows and interfaces validated with real users, with usability and accessibility improved where needed.
- Outcome: a product people can adopt and rely on.
Integrations, Data, and Quality Assurance
Connections to ERP, CRM, identity, document, and data systems, backed by automated testing and QA practices.
- Outcome: reliable integrations and more predictable releases.
Infrastructure, Deployment, and Support
Cloud infrastructure, CI/CD, controlled deployment, monitoring and observability, documentation, handover, and ongoing support.
- Outcome: software your team can run, recover, and evolve.
How We Evaluate an AI Prototype Before Launch
We evaluate the prototype before recommending an approach. Decisions are made component by component based on security, maintainability, scalability, and business risk.
Retain
The component is reliable, secure, and maintainable, so it stays in place and keeps delivering value.
Refactor
The foundation is sound but needs better architecture, security, performance, or code quality. We improve it instead of starting over.
Rebuild Selectively
Specific parts create unacceptable risk, and that risk is isolated. We replace only those parts; the rest of the product stays in place.
Rebuild Fully
The risk affects the core architecture, and the existing system cannot support the product's requirements. We build a new foundation, informed by everything the prototype taught you.
What You Receive From the Production Readiness Assessment
The assessment turns an existing prototype into an actionable engineering plan. Your team receives clear decisions about what can stay, what must change, and what is required before launch.
Each output feeds the next one, from an honest view of today's application to a sequenced plan for remediation and launch. The exact scope of each deliverable is agreed at the start of the assessment.
Production Readiness Scorecard
A structured review of the application's architecture, code, data, security, infrastructure, integrations, UX, testing, and operational readiness.
Step 1 · Score
Component Decision Map
Clear recommendations on which parts of the application should be retained, refactored, rebuilt selectively, or rebuilt fully.
Step 2 · Decide
Prioritized Launch-Blocker Register
A risk-ranked view of the technical, product, security, integration, and operational issues that must be resolved before release.
Step 3 · Prioritize
Phased Production Roadmap
A sequenced plan for remediation, validation, deployment, documentation, handover, and ongoing support.
Step 4 · Plan
How We Move an AI Prototype into Production
We move your existing application toward launch through a structured process: assess what works, resolve critical gaps, validate the system, and prepare it for reliable operation.
Assess
Review the product, codebase, architecture, data, integrations, infrastructure, security, and business requirements.
Prioritize
Identify launch blockers, technical risks, required improvements, and the components that can be preserved.
Engineer
Refactor or rebuild the necessary layers, implement integrations, improve UX, and establish testing and delivery practices.
Validate
Test security, accessibility, performance, reliability, permissions, integrations, and critical user workflows.
Launch and Support
Deploy through controlled environments and set up monitoring and recovery. Then document the system and support its continued evolution.
Built for Real Business Environments
DOOR3 turns AI-generated prototypes into secure, scalable software that can operate inside real enterprise environments.
- Complex workflows across teams and departments
- Sensitive and regulated data
- Multiple user roles and permissions
- Legacy and third-party integrations
- Security and compliance requirements
- Long-term maintainability
- Business continuity
- Measurable operational outcomes
We Work With the Prototype You Already Have
A vibe-coded application does not need to include AI features. The term describes how the code was produced: largely with AI-assisted tools. Whatever your application started in, we start from the code you have:
- Lovable
- Bolt
- Replit
- v0
- Cursor
- Claude Code
- Codex
- Custom AI-generated codebases
The tool used to create the prototype matters less than the product's architecture, data, security, maintainability, and deployment requirements. That is where we focus.
Why DOOR3
DOOR3 combines enterprise software engineering, product design, and applied AI expertise to turn promising prototypes into systems organizations can confidently launch, operate, and scale.
Enterprise Engineering
More than 20 years of designing, building, and supporting the custom enterprise systems organizations rely on to run their businesses, including application modernization and project rescue.
Product and Experience
Design and engineering in one team, from user research to accessible UX, so software is usable for the people who depend on it every day.
AI and Complex Systems
Experience taking AI from strategy to working software and integrating it with enterprise systems, including in regulated industries such as insurance, financial services, healthcare, and legal.
Frequently Asked Questions
Find Out What Your Prototype Needs to Reach Production
We will assess what can be preserved, identify the risks that must be resolved, and define a practical path to secure, scalable production software.
