AI solutions that run productively, not just in demo mode
CodeGuides is a software development agency from Germany. We plan, develop and integrate AI solutions for companies, from the first use case assessment to production-ready implementation.
- Custom AI development instead of off-the-shelf tools
- Integration into existing systems, data sources and workflows
- MVP approach: quick entry, gradual expansion
Feel free to bring a specific process, a software idea or an integration request.
- AI development from Germany
- OpenAI & Azure OpenAI Integration
- AI chatbots with company data
- Productive implementation instead of pitches
Where can I have one built Custom AI solution development?
An AI agency that advises, builds and operates solutions can develop a custom AI solution for your business. A sound approach includes assessing the use case, checking data sources, selecting a model, integrating it with existing systems, defining access controls and planning for production operations—not just deploying an off-the-shelf chatbot. CodeGuides develops custom AI software in-house in Germany, step by step using an MVP approach.
AI agency for companies with advice and implementation: A good AI agency brings in-house development expertise and can handle data and system integration, production operations, security and data protection. It provides consulting and implementation from a single source. Learn more: AI consulting, AI automation and AI integration.
This is how CodeGuides connects your data, AI logic and business processes
Data sources
- CRM & ERP
- Emails & Tickets
- PDFs & Documents
- Databases
- REST APIs
AI logic
- Analysis & Classification
- Summary
- Response generation
- Data extraction
- Workflow trigger
Result in the process
- Support answer suggestion
- Draft offer
- Automatic forwarding
- Data into ERP / CRM
- Dashboard insight
Selected projects and customers
Why many AI projects remain stuck in the pilot phase get stuck
The technology is available. What is missing is a partner who understands processes and actually makes AI productive.
Typical AI pilot
Productive approach
ChatGPT runs in the browser. However, your own data, systems and processes are not reached; it remains an isolated experiment with no effect.
Strategy consultants deliver concepts. IT service providers manage infrastructure. But who will turn the AI idea into working software? That question often goes unanswered.
ERP, CRM, DMS and databases are left out. Without system integration, isolated solutions arise instead of true automation.
Who can see which data? What data leaves the company? Without a clear architecture, risks arise that block deployment.
Big concept in advance, months of workshops, then the budget is gone. A pragmatic MVP entry is rarely offered.
Off-the-shelf AI tools often don't fit specific processes, data structures or system landscapes. Custom development may be necessary.
AI works when it is embedded in real processes and systems.
CodeGuides develops the software that connects AI to your data, your systems and your processes.
What CodeGuides, as an AI agency, develops
We build production-ready AI solutions that integrate with your systems, fit your processes and can run in your environment.
Conception
Before code is created
- Use case assessment & feasibility analysis
- Check data layers, system architecture & roles
- Model choice: OpenAI, Azure OpenAI or local
- Data protection and security concept
- MVP scope and roadmap
Development
From concept to productive code
- AI chatbots with RAG and attribution
- ChatGPT & OpenAI API integration
- AI process automation (documents, emails, tickets)
- RAG systems & knowledge search
- MVP and pilot projects
Integration & Operations
Integrate AI into your ecosystem
- Backend, REST APIs & interfaces to ERP / CRM / DMS
- Multi-tenant architectures for SaaS products
- AI quality monitoring & output logging
- Operation, updates & further development after launch
- Cloud deployment (Azure, AWS, GCP or on-premise)
Specific AI projectsthat we implement
No generic promises. These use cases are technically feasible and bring measurable benefits.
AI chatbot with internal documents
Employees spend hours searching through manuals, guidelines and old project documents.
RAG-based AI assistant configured with document sources and access rights, with sources cited in every answer.
- Faster information search
- Fewer internal queries
Integrate ChatGPT into existing web app
An existing SaaS platform should receive AI functions: copywriting, summaries, data analysis.
OpenAI API integration with custom system prompts, context control, token budget and user feedback loop.
- New feature set without completely new development
- Scalable AI function in productive operation
Email classification and routing
Incoming inquiries, complaints and orders are read and forwarded manually.
AI classifies incoming emails, extracts relevant information and routes them to the right departments.
- Faster response times
- Less manual sorting work
Document analysis and data extraction
Invoices, contracts and forms are read manually, and data is then entered into systems by hand.
Automatic extraction of structured data from PDFs, direct transfer to ERP, CRM or database.
- Less manual data work
- Lower error rate
Internal AI assistant for support teams
Support teams manually search product documents and rephrase standard answers each time.
AI assistant suggests context-aware responses based on approved product information and historical support tickets.
- Faster ticket processing
- More consistent response quality
AI function in SaaS product
A SaaS provider wants to offer AI functions as a productive feature without building their own ML infrastructure.
OpenAI integration with multi-tenant architecture, configurable prompts and user-specific context control.
- AI as a product feature without ML expertise
- Faster time-to-market
Do you recognize one of these use cases? Then we will check the technical feasibility together.
What to look for in a good AI agency
Not every AI agency builds productive solutions. Here are the criteria that make the difference.
| Criterion | Typical providers | CodeGuides |
|---|---|---|
| Own development capacity | ✗ Only advice without code | ✓ Complete implementation in-house |
| System integration | ✗ Demos without integrations | ✓ ERP, CRM, DMS, APIs complete |
| MVP entry | ✗ Months of preparation required | ✓ Pilot possible from week 1 |
| Privacy & Roles | ✗ Rarely planned from the start | ✓ Architecture component of day 1 |
| Honest feasibility assessment | ✗ Pitches before analysis | ✓ Get a clear answer before the budget is spent |
| Operation after launch | ✗ No further development model | ✓ Monitoring, updates, expansion |
This is how it works AI project with CodeGuides ab
No long lead time, no non-binding concept. We start with your specific project.
Initial consultation
Clarify plans & initial situation
Use case analysis
Feasibility & prioritization
Data & Systems
Check data situation & integrations
Technical concept
Architecture, Model & GDPR
MVP development
First productive version live
Operation & Expansion
Monitoring, updates, scaling
Why choose CodeGuides as an AI service provider
We are a software development agency that uses AI as a technical tool, not as a marketing promise.
Software development as a core competency
Backend, APIs, databases, daily work. AI integration only works with solid architecture underneath.
Implementation instead of consulting slides
We deliver code that runs. No concept without development capacity, no launch without an operating concept.
Honest assessment in advance
Not every AI idea is worthwhile. We say this clearly before you invest.
Pragmatic MVP entry
No months of preliminary work. Start with a focused pilot that delivers real value quickly.
Interfaces & data flows
We know the challenges of integrating ERP, CRM and DMS platforms and REST APIs from real-world projects.
Medium-sized businesses & B2B experience
We understand established processes and complex system landscapes—not just greenfield projects.
Our real-world project experience has taught us that AI projects rarely fail because of the AI itself. They often fall short because of poor system integration, unclear data sources or overly ambitious first steps. That's why we start with a clearly defined use case and build from there.
Alexander Hähnel · CodeGuides GmbH
Who is CodeGuides the right AI partner for?
Clear criteria to help you decide whether a conversation is worthwhile.
Well suited
- Medium-sized companies with specific processes and existing data
- SaaS companies looking to integrate AI features into their products
- Companies with an existing software landscape and need for integration
- Teams looking to put a specific AI use case into production
- Projects with an internal point of contact in the relevant department or IT
Less suitable
- Very early idea phase without a defined process or use case
- Pure tool training for ChatGPT or Copilot
- Projects without a budget for development and operation
- Look for general AI lectures or non-binding workshops
Unsure? In the initial consultation we clarify openly what is realistic.
All AI services from CodeGuides
Each of these pages explores a specific area of AI development in greater depth.
AI consulting for companies
Use case assessment, feasibility analysis, and clear prioritization before development begins.
Learn moreInstall AI on site
On-premises LLMs and custom middleware deployed within your company, without the cloud.
Learn moreScalable overall AI system
From your first LLM use case to a company-wide AI platform with custom middleware.
Learn moreAI automation
Automate manual processes with AI, from handling documents, emails, and tickets to bridging gaps between systems.
Learn moreAI chatbot development
AI assistants with their own company data and configurable access rights.
Learn moreChatGPT & OpenAI integration
Integrate ChatGPT, OpenAI API and Azure OpenAI cleanly into existing software.
Learn moreAI process automation for midsize companies
Practical AI use cases for mid-sized businesses: Excel, ERP systems, documents, and back-office operations.
Learn moreApp & software development
Custom web apps and backends that provide the technical foundation for AI integration.
Learn moreAre you looking for an AI agency that not only advises but also implements?
We help you identify the right AI use case, assess its technical feasibility, and implement it as a production-ready solution.
Frequently asked questions about the AI agency
What does an AI development agency do?
An AI agency plans, develops, and integrates AI-powered software solutions for businesses. This includes technical planning, integration with existing systems, AI chatbot development, business process automation, and deployment to production. Unlike a management consulting firm, an AI agency has its own software development team.
When is an AI agency worthwhile for companies?
An AI agency is worth considering if you want to automate specific processes, integrate AI into existing software, or build an internal AI assistant. You’ll need a clearly defined use case, relevant data, and a willingness to analyze your processes from a technical perspective.
How much does an AI project with an agency cost?
A structured use case analysis costs between €1,500 and €5,000. A first pilot or MVP typically costs between €15,000 and €60,000. Larger systems are priced based on scope. In the initial consultation, you’ll get a realistic estimate.
How does an AI project work at CodeGuides?
We start with an initial consultation, analyze your use case and data, develop a technical plan, and build an MVP. After launch, we support ongoing operations and further development. No months of preparation, and no plan that stops short of implementation.
Does CodeGuides develop individual AI solutions?
Yes. We build AI solutions tailored to your processes, data sources, and systems. These are custom software solutions, not off-the-shelf products.
Does CodeGuides use OpenAI or Azure OpenAI?
Yes. We integrate ChatGPT, the OpenAI API, and Azure OpenAI into existing and new software. The right option depends on your privacy, data residency, and performance requirements.
Can CodeGuides integrate AI into existing software?
Yes, this is one of our areas of focus. We build the backend infrastructure, APIs, and connectors needed to integrate AI features into existing web apps, SaaS products, and internal tools.
Does CodeGuides also develop AI chatbots?
Yes. We build AI chatbots that can access your company’s data, documents, and knowledge bases, with configurable access controls and integration into your systems.
Can an AI solution be implemented in compliance with the GDPR?
We use a privacy-focused architecture, with data stored in Germany or the EU, clear access controls, and logging. We recommend an additional legal review by a data protection officer.
Does CodeGuides also start with an MVP?
Yes, we strongly recommend that. A clearly defined pilot for a specific use case delivers results more quickly than a large overall concept.
CodeGuides develops apps for consumers and businesses, with a primary focus on B2C apps. Our in-house team in Germany provides product planning, Flutter development and long-term operations, alongside custom software, AI automation and local AI infrastructure.
Request an AI project
A brief description is enough. In the initial consultation, we’ll discuss which AI approach makes sense for your project.
Schedule a meeting
A 45-minute, focused technical discussion about your AI project. No canned sales pitch.
What happens next?
Choose a time on the calendar