Inbound request handling
- Starts withWeb form or email
- Reads the request and identifies the topic
- Extracts company and contact details
- Creates a CRM record and assigns an owner
- ResultSales starts from a ready record
We build software and put AI to work in your business.
AI Assistant Studio is a software agency focused on custom development and AI automation. We build products from scratch, automate repetitive work with AI agents, and get apps you built with AI coding tools ready for real users.
order-dashboard
v0.9, built with Lovable
- Passed
Authentication and permissions
Role-based access is correct
- Critical
API keys
Secret key shipped in the client bundle
- Critical
Rate limiting
No limit on the payment endpoint
- Warning
Error tracking
Logs only go to the console
- Passed
Database backups
Daily, kept for 7 days
- Warning
Test coverage
12% of critical flows
Not ready for production
2 critical, 2 warnings
We do three things
Build a product from the ground up, automate a workflow, or harden an app that was written with AI. The same team and the same engineering standard behind each one.
Custom software development
Web apps, mobile apps, internal tools and APIs. We shape the scope with you, ship working builds every week and hand over the code in your own accounts.
- Web and mobile apps
- Admin panels and internal tools
- APIs and integrations
AI automation
We build AI agents that read, sort and route repetitive work such as emails, forms, documents and support requests. A person always approves the steps that matter.
- Lead and email triage
- Data extraction from documents
- Customer support assistants
Production readiness for AI-built apps
Built your app with Cursor, Lovable, Bolt, v0 or Claude Code? We review it, close the security and infrastructure gaps, and advise your team as it keeps building.
- Code and security review
- Infrastructure and launch prep
- Advisory for teams building with AI
Your AI-built app works. Will it hold up with real users?
AI coding tools can get a working product out in a few weeks. The hard questions start when the first users arrive: where do the keys live, is the data backed up, who hears about it when something breaks? We review your code, rank the risks, and take the app to production with you.
If any of these sound familiar
- The app runs fine in the demo, but you hesitate to launch it.
- AI wrote most of the code and nobody fully understands it.
- An investor, customer or enterprise buyer sent a security questionnaire.
- Every new feature breaks something that used to work.
- Your LLM and hosting bill is growing faster than expected.
What we review
Security
- Secrets and environment variables
- Authentication and authorization
- Input validation and injection risks
- Dependency vulnerabilities
Data
- Schema and migrations
- Backups and recovery
- Personal data, GDPR and KVKK
Infrastructure
- Separate environments
- CI/CD and release process
- Scaling and cost
Observability
- Error tracking and alerts
- Structured logging
- Uptime monitoring
Code quality
- Architecture and module boundaries
- Tests for critical flows
- Duplicated and dead code
AI usage
- Prompts and model choice
- Token cost and caching
- Guards against bad output
How it works
01
Review
We look at your code and infrastructure with read-only access, then deliver a written report with each finding's severity, impact and recommended fix.
Prioritized findings report
02
Hardening
We fix the critical findings ourselves or close them together with your team, and set up the release process, monitoring and backups.
Fixed code and working infrastructure
03
Advisory
As your team keeps building with AI tools, we stay on for regular code review, architecture decisions and good practices.
Ongoing review and guidance
After handover, you keep building your product with your own AI, safely
See the full example flowYour AI assistant
You make the change with your own assistant, as usual, and share it.
Automatic
developmentv1.5.0
Every change you share is deployed to development automatically. That's where you try it first.
When you approve
stagingv1.5.0
If everything looks right, you promote it to staging for a final check in the environment closest to production.
When you approve
productionv1.4.2
If staging is clean, you update production. Every release is recorded with a version number.
Rollback. If something unexpected happens, you roll production back to the previous version, such as v1.4.1, in one step.
Automation examples
Every business runs differently. These are examples of flows we can build. We work out which ones fit you on the first call.
About AI automationDocument processing
- Starts withInvoice, order or contract PDF
- Extracts the fields from the document
- Checks totals and dates
- Sends uncertain fields for approval
- ResultData lands in your accounting or ERP system
Customer support assistant
- Starts withWebsite, WhatsApp or email
- Answers from your own documentation
- Looks up order and booking status
- Hands off to the team when it can't help
- ResultYour team only handles requests that need a person
Weekly report
- Starts withEvery Monday at 09:00
- Collects sales, support and ad data
- Compares it with the previous week
- Summarizes the notable changes
- ResultLeadership gets a one-page summary
How a project runs
01
Intro call
In 30 minutes we talk through what you want to build, where things stand and what the constraints are. Free.
02
Scope and proposal
You get a written scope, a timeline and a fixed-price proposal. Anything still uncertain is marked as such.
03
Build
We work in two-week cycles. At the end of each one we walk through a working build with you.
04
Launch and support
We take the product live, set up monitoring, and continue with maintenance or new work afterwards.
How we work
- You own the code
- Repositories, servers and accounts are opened in your name from day one. If you stop working with us, everything stays with you.
- Something to see every week
- We show progress with a build you can open and use, not with status slides.
- AI where it helps
- We use AI where it speeds up the work. Steps with financial, medical or legal consequences stay with a person.
- Clear scope
- We put in writing what we will do, what we won't, and what is still uncertain.
Frequently asked questions
How does a project start?
Usually with a clear, measurable first step, such as a review report, a single automation or the first version of an MVP. You see how we work together before any larger commitment. Code, accounts and infrastructure are always set up in your name and stay yours.
Which technologies do you use?
On the web we mostly use Next.js, React and TypeScript; on the server Node.js and Python; and PostgreSQL for data. For AI we work with OpenAI, Anthropic and open-source models, and with n8n or custom services for automation. If you have an existing project, we work in its stack.
Will you rewrite my AI-generated code?
Usually not. We keep what works and fix what's risky. We only suggest a rewrite when fixing would cost more, and we explain why.
Is it safe to share my code with you?
We sign an NDA before the review. We ask for read-only, time-limited access wherever possible and remove it when the work is done.
How does pricing work?
Once the scope is clear, we send a fixed-price proposal. For ongoing work we also offer a monthly support plan. The intro call is free.
Do you work remotely?
Yes. We work remotely with clients in Turkey and abroad. Meetings can be in English or Turkish.
Tell us what you want to build
A short message is enough. We reply within one business day and suggest a time for an intro call.
or email us directly: hello@aiassistantstudio.com