You built the app with AI. Now make it something people can actually use.
It runs on your machine. You can demo it. But launching it — sign-ups, payments, security, incident response — is where most AI-built apps stall. GIIP takes the app you built with AI and turns it into a production service customers can trust, then keeps operating it after launch.
Works even if it is unfinished / Code, URL, or screens are enough to start / Japanese-language support available
AI-built prototype
Launch, auth, payments, security, monitoring
A service customers can use
Stacks vertically on mobile
- Turn your AI-built app into a real service
- Built an app with AI but can’t turn it into a service
- GIIP
- Assessment, production build-out, launch, ongoing operations
- Scope
- Launch, authentication, payments, security, operations, improvement
- Evidence
- GIIP’s own production track record and real Japanese-enterprise operations
There is still work between "it works" and "it is a service you can hand to customers."
AI can generate screens and code astonishingly fast. But a service where strangers sign up, pay, hand over data, and return every day needs more than code. Once you start researching that alone, the app you built often just stays unreleased.
No idea where to deploy it
Domain, cloud, environment separation, deployment
Worried about logins and data
Authentication, permissions, personal data, backups
Can’t collect payment
Billing, plans, usage limits, invoicing
Wouldn’t notice if it broke
Monitoring, logs, alerts, recovery, support
Afraid of what happens if users grow
Performance, scaling, API cost, cloud cost
No idea what to fix after launch
Usage analytics, drop-off, SEO/GEO, ongoing improvement
If even one of these applies, what you need is not another AI tool — it’s the work of turning it into a service.
We fix only what is missing — and keep it running after launch.
Four stages take you from what you have today to a service that keeps improving after launch.
- 1
Assessment
We review whatever you already have — URL, screens, code, GitHub, planning docs — map the gaps across engineering, security, operations and go-to-market, and prioritize what to fix first.
- 2
Production build-out
Domain, cloud, database, authentication, permissions, backups, payments, email, and the terms-of-service / privacy-policy flow — everything a real launch needs.
Where final legal sign-off is required, we assume you will have it reviewed by your own counsel.
- 3
Launch & verification
We separate staging from production, verify behavior on major devices, and build a safe release process, with analytics wired in so you can see where users hesitate and drop off.
- 4
Ongoing operations
Uptime monitoring, incident alerts, backups, security updates, performance and cost checks, and continued feature improvement. Launch is not the finish line — it is the day you start improving with real usage data.
From prototype to a service you can promise to customers.
| Before | After GIIP | |
|---|---|---|
| Environment | Your PC, preview URL | Production environment on your own domain |
| Users | Just you or people you know | Sign-ups and permission management |
| Monetization | Free demo only | Payments, plans, usage limits |
| Data | Storage and recovery unclear | Clear backup and recovery policy |
| Incidents | You find out from users | Caught via monitoring, alerts, logs |
| Cost | API/cloud bills are unpredictable | Limits, usage, and savings made visible |
| Improvement | Features added by gut feel | Driven by usage data and inquiries |
Environment
Users
Monetization
Data
Incidents
Cost
Improvement
You don’t need to be finished — start from whatever you already have.
Only runs locally
We assess it from a screen-share or the code
There’s a preview URL
We assess behavior, architecture, and launch risk
Code is on GitHub
We check reproducibility, dependencies, and security
It’s already public
We improve monitoring, cost, payments, drop-off, and operations
AI generated it, so I don’t fully understand it
We read the architecture and make it something you can hand off
It’s fine even if you can’t explain what you used to build it. Show us whatever you have — a URL, screens, or code.
Not a delivery-and-done project — support that continues as your service runs.
We work with AI-generated code as-is
We don’t dismiss AI-written code. We separate what’s usable from what needs fixing, instead of assuming a full rewrite from the start.
We don’t split development from infrastructure
Screens and features are handled in the same operational unit as cloud, database, deployment, monitoring, and incident response.
We keep improving after launch
Beyond launch-day completeness, we act on usage, cost, performance, and inquiries to drive the next improvement.
A real production track record
GIIP plans, builds, deploys, and operates its own service, and monitors 300+ servers and databases for Japanese enterprises while running 7,000 automated operational tasks a month.
Start from wherever you need.
Launch-readiness diagnostic
Current-state review, gaps, priorities, rough scope
Launch prep & production build-out
Required fixes, infrastructure, auth, payments, testing, launch
Ongoing operations & growth support
Monitoring, incident response, cost optimization, analytics, improvement
Because app state and required scope vary widely, we start with a current-state review and propose a scope that avoids unnecessary rebuilding.
Frequently asked questions
Can you work with code an AI generated?
Yes. Even if you don’t know which AI tool built it, we can assess it from the current screens, URL, and code. We keep what works and prioritize fixing whatever threatens safety or operations.
I have no code, only a screen — can I still talk to you?
Yes. A working screen or URL is enough for us to map your current state and next steps. Production build-out, though, will eventually need code access or access to the live service.
Will you rebuild everything from scratch?
We don’t default to a full rebuild. We check maintainability, security, licensing, cost, and performance first, then propose what to keep and what to fix.
Can you add payments or sign-ups?
Yes. We confirm your target users, pricing model, identity-verification needs, and target regions, then propose the right services and architecture.
Can you handle incidents after launch?
Yes. Monitoring, alerts, backups, recovery procedures, regular updates, and ongoing performance/cost checks — we can own the operational scope you need on a continuing basis.
Do you guarantee sales or search rankings?
We can’t guarantee revenue or rankings. What we do is set up measurement — analytics, search traffic, conversion paths, drop-off — so improvement is driven by data.
Do I need to sign a contract just to talk?
No. We first review your current state and explain the work and scope involved. You decide after seeing that.
We’ll review the app you built — free
Whatever you have today is enough. Fill in what you can.
AI can write the code. GIIP FDE Ops runs it in production.
Get in touch AI operations security & governanceAI executes. You stay in control — approval, audit and rollback on every action.
Get in touch AI production operationsProduction that operates itself — monitoring, scaling and incidents, run by AI.
Get in touchDon’t let that app sit unreleased.
A URL, some screens, code, or even just planning notes — that’s enough to start. GIIP will map what’s missing for launch and lay out a realistic path to production and ongoing operations.
A conversation is fine on its own / Unfinished is fine / Japanese-language support available