How much does an AI integration cost?

The cost depends heavily on the scope. A simple LLM-powered workflow (e.g., automated text generation or document summarisation) can be implemented in a few days. More complex projects like RAG pipelines with custom data sources or a custom MCP Server typically take 2–6 weeks. In a free initial call, I can estimate the effort for your specific use case.

What is an MCP Server and why do I need one?

MCP (Model Context Protocol) is an open standard that allows AI models like Claude or GPT to securely access your internal systems, databases, and APIs. An MCP Server acts as a bridge between the AI model and your data – with clearly defined permissions and without sensitive information leaving the system. This is especially relevant when you want to use AI features not just with public data, but with your own business data.

How is data privacy ensured with AI integrations?

Data privacy is central to every AI integration. I use API-based integrations where you retain full control over data flow. Sensitive data can be pre-processed locally before being sent to a model. When needed, I work with self-hosted open-source models or European API providers that operate GDPR-compliantly. In every project, we clarify upfront which data is processed and where the boundaries are.

Can AI be integrated into my existing system?

Yes – that's actually the most common case. Most of my AI projects build on existing products and infrastructure. Through APIs, webhooks, or MCP Servers, AI features can be integrated into virtually any architecture without completely rebuilding the existing system. I'll analyse the most sensible integration points in an initial call.

Do you offer support after launch?

Yes, I offer flexible ongoing support options! These include bug fixes, feature updates, performance optimisation, and technical maintenance. We can arrange monthly retainers or project-based support depending on your needs.

How do you handle project communication and updates?

I provide regular updates through scheduled calls, progress reports, and shared project management tools. You'll always know what's happening with your project. I'm responsive and available for questions throughout the entire development process.

Can you work with existing codebases and teams?

Absolutely! I can integrate into existing teams and codebases. I have experience with code reviews, refactoring legacy systems, and regularly help teams improve their development processes. I can work independently or closely alongside your existing developers.

Service · AI Integration

The most expensive AI integration is the one you rip out after six months.

When the feature doesn't fit your product, your users notice right away. They try it twice and don't come back. I come in early enough to keep that from happening: in discovery, in feature design, and in the error states nobody else remembers to build.

Book a 15-minute call now mehr erfahren

01 / ProfileBochum · DE

Successful projects with

— Pain points

Do these problems sound familiar?

06 issues

— Fit check

Can I help you with your AI project?

— Yes, if you...

Have an existing SaaS product and want to ship AI features in weeks instead of months – without spending months training your team on LLM APIs

Want to make internal data (documents, CRM, processes) accessible to AI without losing control over sensitive data

Have a small dev team that needs senior capacity who thinks along immediately – architecture, deployment, and product logic included

— Probably not, if you...

Don't have a clear use case yet – I implement, but don't advise at a strategic level on which AI idea to pursue

Are building a greenfield AI product without existing infrastructure – my focus is on integration, not greenfield development

Are only looking for one-off consulting or a brief audit without subsequent implementation

— About

How I help

I'm Nils – Senior Product Engineer based in Bochum, specialising in integrating AI into existing SaaS products and web applications.

I don't build demos that look good at conferences. I build AI features that run in production – with error handling, monitoring, and the guardrails a SaaS product needs. My focus is on the bridge between the AI model and your existing system.

What sets me apart:

Fullstack + AI: I don't only think in prompts, but in architecture, APIs, and deployment. No "throwing it over the fence" to your backend team.
MCP Server Development: I build custom MCP servers that securely connect AI models to your internal systems – a skill set hardly any freelancer offers today.
Production-ready from day 1: Every feature ships with monitoring, logging, and fallbacks – not as a fragile prototype.

01 / ProfileBochum · DE

My tech stack for AI integration:

tools

Typescript Next.js Node.jsPostgreSQLDockerVercel

— Selected work

Successfully implemented for

04 case studies

01 / Case
Interhyp
Front-End Development
— Herausforderung
Further development of the Next.js-based websites and the headless CMS
Migration of three standalone websites (interhyp.de, prohyp.de, interhyp-gruppe.de) from a legacy CMS to Sanity – including data migration, schema design, and content modeling
Development of new CMS components and editorial features for more flexible content management
— Ergebnisse
Successful migration of all three websites to Sanity
Significantly reduced maintenance effort for editors thanks to a more intuitive CMS interface and custom components
Modernization of the technical infrastructure as a foundation for improved SEO performance and faster feature development
Next.jsTypescriptSanityTailwindCSSDocker
02 / Case
pub.tech / ARD
Front-End Development
— Herausforderung
Further development of a shared component library for several high-traffic ARD websites (tagesschau.de, sportschau.de, brisant.de, ard.de) as part of a CMS migration
Further development of the frontend and CMS (Strapi) for hilfe.ard.de, which is serving as a central help desk for all ARD services
Improvement of editorial workflows through optimized CMS structures and customized input forms
— Ergebnisse
Consistent styling and uniform features across all ARD websites through a shared component library
Significantly faster and more structured content management for editors through improved CMS integration
Successful participation in the migration of several major news portals to a modern CMS
Next.jsStrapiTypescriptJavascriptHTMLCSS
03 / Case
Continuum
Full-Stack Development
— Herausforderung
Further development of a SaaS solution with Next.js and Firebase
Support with planning new features and advancing the product roadmap
— Ergebnisse
\~60% improvement in load times through implementing a frontend caching strategy and optimising training plan generation algorithms
Introduction of unit tests with >80% test coverage on new code
Improved development velocity through refactoring and code optimisation
Next.jsTypescriptTailwindCSSNode.jsTanStack QueryShadcn UI
04 / Case
Objego
Front-End Development
— Herausforderung
Further development of an existing SaaS product, implementing new features within a Scrum team
Regular training and onboarding of new team members
Advancing the application architecture in collaboration with other lead developers
— Ergebnisse
Reduction of build and test times by up to 80% by converting a monolithic Angular application into monorepos and micro frontends
Successful Angular version upgrades from v15 to v18, including refactoring and adoption of new Angular features
AngularTypescriptDockerSentry
Your project?
Get in touch with no obligation

01/05

— Process

From idea to production-ready AI feature

03 phases

01— Discovery

Discovery & use-case analysis

Together, we identify the use cases with the greatest business impact. I analyse your existing infrastructure, data sources, and requirements – and create a concrete implementation plan with a clear scope and timeline.

Book a free initial consultation

02— Build

Development & integration

I develop the AI feature iteratively and integrate it directly into your existing system. RAG pipeline, MCP server, LLM integration – everything is built production-ready, with tests, monitoring, and documentation. You see progress through regular updates.

03— Launch

Launch & monitoring

After launch I monitor the AI feature's performance, optimise prompts and retrieval quality, and make sure everything runs stably. I document everything so your team can continue developing the feature independently.

— Testimonials

Testimonials

03 voices

— Contact

Tell me about your project

Response < 24h

Want to talk about your project? Feel free to reach out via the form or:

— Here's how it works

A no-obligation conversation about your project
We'll discuss your project and I'll show you how we can tackle it together.
Concept and proposal
I'll create a detailed concept with a clear timeline and a transparent offer.
Fast execution
From concept to working solution with regular updates and clear communication.

— Direct

project_request.formlive

— FAQ

Frequently asked questions

07 questions

The most expensive AI integration is the one you rip out after six months.

Do these problems sound familiar?

Your team is experimenting with AI, but nothing makes it to production

Internal data is not accessible to AI

Privacy concerns are blocking every AI project

Manual processes cost your team hours per week

Your competitors have AI features – you don't

AI responses are unreliable and hallucinate

Can I help you with your AI project?

How I help

Successfully implemented for

Your project?