Productize an internal prototype
Your team already built something people use. We audit the application, identify what can survive, define the production architecture, and carry it through remediation or rebuild.
Enterprise AI application development
Your team proved the app should exist. Now make it enterprise-ready.
AI tools can turn an operational idea into working software remarkably fast. SDG takes the next step: secure architecture, reliable integrations, tested releases, scalable infrastructure, and an application your company can own for the long run.
PrototypeProduction
01
Internal AI build
A useful workflow, real users, and fast proof that the idea matters.
02
SDG engineering boundary
Architecture, identity, data, security, tests, deployment, and ownership.
03
Enterprise application
Reliable enough to operate, extensible enough to evolve, and accountable by design.
Trusted by brands that define their categories
The opportunity is not to stop vibe coding. It is to finish the job.
People inside companies understand their own bottlenecks. With tools such as Claude Code, Cursor, Replit, Lovable, Bolt, and v0, they can now make an idea tangible before a conventional software program would clear its first planning cycle. That is a real advantage.
But a working interface is not yet a production system. Authentication may be shallow. Authorization may live only in the UI. Secrets, personal data, dependencies, failure handling, audit trails, deployment, monitoring, accessibility, and ongoing ownership may never have been designed. The prototype proves demand; it does not automatically prove the implementation.
That is not hypothetical. Companies are already hiring SDG to assess internal AI-built applications, preserve what is valuable, and engineer the product and operating foundation required to put them into serious use.
The UK National Cyber Security Centre says the cost and effort curve for “bespoke enough” software is shifting, while warning that today’s AI-written code is not consistently safe or maintainable. Read the NCSC perspective.
Three ways this work starts
Replace a narrow SaaS workflow
A costly or awkward subscription may be serving a process unique to your business. We test the buy-versus-build case, then create the smallest owned application that can replace it responsibly.
Build an AI-enabled business application
When the opportunity is new, SDG combines product definition, experience design, AI-native delivery, full-stack engineering, integration, and governance from the first release.
Production standard
What enterprise-ready actually means
There is no single hardening pass that turns a prototype into a dependable system. The product, code, infrastructure, data, and operating model have to agree.
Architecture and scale
Clear service boundaries, durable data models, capacity planning, performance budgets, caching, queues, and failure isolation matched to real demand.
Identity and authorization
SSO where needed, role- and resource-level access control, least privilege, session security, tenant boundaries, and server-side enforcement.
Application and data security
Threat modeling, secure secrets, dependency review, input and output handling, encryption, privacy controls, auditability, and remediation evidence.
Systems integration
Explicit ownership across Shopify, ERP, CRM, PIM, finance, data, and identity systems, with validation, retries, reconciliation, and monitored failures.
Testing and delivery
Representative automated tests, accessible UX, peer review, controlled environments, CI/CD, migrations, release gates, rollback, and recovery plans.
Observability and ownership
Logs, metrics, traces, alerts, cost controls, runbooks, documentation, support, and a team accountable after the first production release.
Our approach follows established secure-development principles: AI can accelerate implementation, but the engineer who approves and ships the system remains accountable. Review OWASP’s Secure Coding with AI guidance.
How SDG takes it forward
Keep the insight. Earn the production system.
We do not assume the existing code is disposable, and we do not assume it is safe to preserve. The audit decides.
- 01
Assess
Review the product, users, workflows, repository, dependencies, data, access, hosting, integrations, risks, and economics. Establish whether to harden, refactor, partially rebuild, or rebuild.
- 02
Define
Turn the useful behavior into an explicit product and system contract: requirements, architecture, controls, acceptance criteria, environments, operating ownership, and delivery plan.
- 03
Engineer
Build the application and integrations with AI-assisted speed inside a professional software lifecycle: review, testing, security, accessibility, documentation, and controlled releases.
- 04
Launch and operate
Rehearse migration and cutover, monitor real behavior, resolve production issues, transfer knowledge, and continue improving the application against measurable business outcomes.
Built around the business
The best candidates are specific, valuable, and poorly served by generic software.
We focus on applications where company-specific workflows create advantage or where a narrow SaaS product adds cost and friction without adding meaningful differentiation.
- Merchant, catalog, content, and product-operations tools connected to Shopify
- B2B portals, partner workflows, quoting, approvals, and account operations
- Customer service, knowledge, case management, and guided resolution tools
- Planning, reporting, reconciliation, exception handling, and operational dashboards
- Specialized intake, review, compliance, and multi-step approval applications
- AI assistants and agents grounded in governed company data and scoped actions
Frequently asked questions
Can SDG take over an application our team built with AI?
Yes. We begin with a product, code, architecture, security, data, and operations assessment. The result identifies what can remain, what needs remediation, and what should be rebuilt before the application carries greater business risk.
Will you always rebuild a vibe-coded application from scratch?
No. A prototype may contain sound components, useful data models, and proven workflows. We preserve what earns its place. We recommend a rebuild only where the existing implementation would make security, scale, reliability, or maintenance materially harder.
Can a custom application really replace a SaaS product?
Sometimes. The strongest candidates are narrow, expensive, or awkward workflows where your organization uses only a small portion of the vendor platform. We compare total ownership, risk, integration, roadmap, and switching cost before recommending custom software.
Which AI development tools does SDG work with?
We can assess and work from applications created with tools such as Claude Code, Cursor, GitHub Copilot, Replit, Lovable, Bolt, and v0, along with the common frameworks, databases, and cloud services around them. Tool choice follows the application and governance requirements.
How do you secure AI-built applications?
Security is designed across architecture, identity, authorization, data, secrets, dependencies, inputs and outputs, infrastructure, deployment, monitoring, and incident response. We use human review and evidence-based controls rather than treating AI output as approval.
Does the application need to involve Shopify?
No. This practice is broader than Shopify. SDG builds standalone business applications and applications connected to Shopify, ERP, CRM, PIM, finance, identity, analytics, and other enterprise systems.
Can SDG build new AI-enabled internal tools from the start?
Yes. We can lead opportunity definition, product design, architecture, implementation, AI and model integration, data and systems integration, evaluations, security, launch, and ongoing operation as one accountable team.