From the first LLM use case to Company-wide AI platform
Nice to have you here. Instead of building a new isolated solution for every use case, we develop a central middleware for industrial and commercial companies: rights, data sources and LLM connection once cleanly set up so that every further use case can be based on it.
- One middleware instead of many isolated solutions
- Architecture designed for growth from the start
- From the first use case to company-wide scaling
Entry via a fixed price potential analysis for €2,500, then a joint concept, first use case and planned scaling, step by step.
- For industry and commerce
- Own middleware instead of standard tool
- On-premise or hybrid possible
- Consulting with implementation expertise
Potential analysis for
2.500 € Fixed priceCan be fully credited if the implementation is commissioned
- Online conversation: You describe planned use cases and system landscape to us
- Assessment of whether a single use case or an entire system is the right way to start
- Concrete architecture proposal for the middleware
- Written result that you can use independently of us
or Choose an appointment directly in the calendar
You will receive after the potential analysis
Use case evaluation with prioritization
Which use case comes first and which comes later.
Technical target architecture for your entire system
How the middleware cleanly connects your systems, rights and data sources.
Data protection and operating model
Who runs what, where does the data run, who has access.
Effort estimate for pilot and rollout
Realistic assessment of time and costs for the first use case and scaling.
Concrete 90-day roadmap
Traceable steps from start to productive first use case.
Decision template for management / IT
Prepared to be understandable for both sides, technically and economically.
Selected projects and customers
References from app and platform development. Concrete case studies for scalable AI systems are currently being developed with our first industrial and commercial customers.
Die People behind CodeGuides
No anonymous hotline and no sales partner: you talk to the same people from our development team, from potential analysis to productive operation, in a friendly and direct manner.
Direct wire
Right from the start, you talk to the people who plan and implement your architecture.
Development team, no sales
Our team comes from software development, not from consulting sales.
Made in Germany
Advice and implementation from a German team, without language barriers or time differences.
Why from individual AI tools rarely a system will
Many companies start with a chatbot or an automation tool for a process. For the next use case, you start again from the beginning, with your own connection, your own rights, your own effort.
Typical course without an overall system
With a central middleware
Architecture: the middleware as the supporting layer of the overall system
Your systems & data
- ERP and MES
- Production & machine data
- CRM, DMS and file server
- Internal knowledge databases
- APIs and event queues
Central AI middleware
- Control of the LLM connection
- Roles and rights concept
- RAG and vector search
- Monitoring, logging, releases
- Orchestration of multiple use cases
Growing number of use cases
- Internal knowledge assistant
- Document processing
- Support & service processes
- Departmental copilots
- More use cases without rebuilding
Isolated solution vs. scalable overall system
The difference becomes apparent in the second or third AI use case at the latest.
| Criterion | Individual AI tools | Scalable overall system |
|---|---|---|
| Connection | Built new for every use case | Once built via the middleware |
| Rights & Roles | Maintained separately per tool | Centrally managed and consistent |
| Maintenance | Increases with each additional tool | One system, predictable effort |
| New use cases | Each new project | Based directly on an existing basis |
| Operating location | Often distributed across multiple providers | On-premise, hybrid or cloud, consistently planned |
This is how it works to build one scalable AI system
We start small and concrete, not with a large project without proof.
Potential analysis (fixed price €2,500)
In the initial online consultation, you will describe the use cases, data situation and system landscape to us. If necessary, we will then take a look at the conditions on site.
Concept & Architecture
Design middleware architecture: rights, data sources, integrations, operating location.
Setup for the first use case
Set up LLM and middleware productively for a clearly defined process.
Further scaling
Other use cases, departments or locations are based on the existing middleware.
Who is a scalable overall AI system for? lohnt
Not every company needs a complete system immediately. These criteria help with the assessment.
Useful if...
- You already have or foresee more than one AI use case
- Several departments, locations or systems are affected
- Data protection, IP protection or compliance require a central architecture
- You want to permanently connect ERP, MES or production data
- You are looking for a sustainable basis instead of repeated individual projects
Not particularly suitable if...
- Only a single, clearly defined use case is planned
- There is no prospect of further use cases
- A ready-made standard tool that already covers the requirement
Not sure what's right for you? No problem, that's exactly what we'll clarify together and calmly in the potential analysis.
FAQ: Scalable overall AI system
What distinguishes an entire system from a single AI tool?
A single tool solves a use case. A scalable overall system consists of a central middleware that cleanly sets up rights, data sources and LLM connections so that any additional use case can be based on it.
Do we have to build the entire system immediately?
No. We start with a potential analysis and an initial, clearly defined use case. The architecture can be expanded from the start; full expansion only takes place once the first use case has proven its usefulness.
Does the system run on-premises or in the cloud?
Both are possible. For industrial and commercial customers with data protection or IP requirements, we often build the middleware on-premise; in other cases, hybrid or cloud is more economical.
How does a project start?
The first step is a fixed price potential analysis for €2,500, which can be fully credited when the implementation is commissioned. The initial consultation takes place online: you describe your circumstances to us and, if necessary, we will then look at the infrastructure on site. This is followed by the concept, the structure of the LLM for an initial use case and the gradual scaling to the overall system.
CodeGuides is an app and AI agency from Germany for Flutter apps, custom software, AI automation and local AI infrastructure. Consulting and implementation come from a single source: We evaluate use cases technically, build the first pilot and scale it up to company-wide operation, GDPR-compliant and with hosting in Germany.
Request potential analysis for €2,500
Please tell us briefly about your company, planned use cases and affected systems. In the initial online consultation, we will calmly clarify together whether a single use case or an entire system is the right start for you.
Book a consultation
45 minutes online, without sales pressure. Tell us about your use cases and your system landscape. If necessary, we will be happy to take a look at the conditions on site.
So it continues
Choose an appointment in the calendar