Your goal
Be visible where AI answers
Automate processes
Build a product
Put AI agents to work
Connect and modernize systems
Know where we stand
Use Cases
CRMStrengthen customer relationshipsPopularE-CommerceBoost online revenueBooking System24/7 appointment bookingProject ManagementCoordinate teamsInvoicingGet paid fasterAnalyticsData-driven decisions
Context Studios · Berlin
No more one-size-fits-all. We build exactly the solution your business needs – with AI at its core.
Our
Promise
Context Studios is an AI-native development studio from Berlin-Charlottenburg. We build AI agents, MCP servers and web applications for companies that want to put AI into production. Our goal: a production-ready first MVP in about four weeks, at a fixed price after scoping. Every project runs directly through founder Michael Kerkhoff, who brings in experienced specialists as needed.
Custom Built · AI-Native · AI Enablement · MVP goal: about 4 weeks
Last updated:
Eight examples of what an AI workflow in your industry can look like: what comes in, what the AI takes over, what comes out.
Input → AI → Output
Quotes, field reports, and dispatching in one system.
→ Faster jobs with less back-office work
Less admin. Faster documentation. Better patient coordination.
→ Ready-to-use care workflow
Bookings, staff planning, and guest communication automated.
→ Smooth service operations
Smarter inventory, loyalty, and customer service.
→ Personalized commerce operations
Client intake, research, and reporting accelerated.
→ Consultant-ready deliverables
Workshop workflows and customer updates made faster.
→ Connected service process
Member journeys, bookings, and follow-ups automated.
→ Higher retention with less manual work
Deal flow, portfolio updates, and reporting structured.
→ Investment-ready insights
We combine consulting, development and automation into systems that work in everyday operations.
Clarify the right AI use cases, architecture and rollout path — before a line of code is written.
Turn AI ideas into working product features and market-ready MVPs.
Automate recurring work with controlled AI agents and workflow systems.
Build tailor-made software systems around your business processes.
Make sure ChatGPT, Perplexity, Google AI Overviews and Claude cite your company correctly — with robust entities instead of keyword tricks.
Your processes must adapt to the software
The software adapts to your processes
Vendor lock-in, limited customization
Full control over code and data
AI as expensive add-on, often poorly integrated
AI natively integrated at the core
Off-the-shelf tools are the pragmatic pick when your process is genuinely standard, you need it live now, and budget is tight. Custom development wins once the software becomes your competitive edge — unique workflows, proprietary data, or AI features no vendor ships.
Explore custom software development →Three recent pieces from practice: tools, patterns and the decisions we make in projects.
· 17 min
· 6 min
· 10 min
We work in clear build loops: demo, feedback, decision, next sprint. You see every step.
Week 1
InitializedPrototype shipped
Week 2
Demo & feedbackFeedback incorporated
Week 3
Decision pendingNext iteration planned
Week 4
ShippingTeam aligned
→ With us: weekly demos + daily Slack updates during development.
We show how it works with a real project: Datura from Berlin, told in five chapters.
Berlin-based Datura advises banks, asset managers and pension funds on nature and climate risk. The knowledge was there – the website just didn’t tell Google or ChatGPT.
Banks now research with AI assistants. So the website should answer exactly the questions they ask there – clearly, in the first sentence, with a source.
When a bank asks for nature risk data, the answer should be “Datura” – on Google and in ChatGPT.
„Who provides nature risk data for banks and investors?“We reorganised Datura’s expertise and backed every statement. Where content was missing, Datura supplied it – we added nothing of our own.
Reviewed the website and collected their clients’ questions with Datura.
One page per question that answers straight away – plus glossary and methodology.
Every figure matched against its original source before going online.
Prepared so AI assistants can read it – and Datura can maintain it themselves.
Two swapped sources, one wrong year. Caught before going online.
The same content now works twice: as a readable page and as a clear answer an AI assistant can take over and cite.
We don’t promise results, we measure them. Once the site is live, we check regularly whether Datura is named where banks ask.
„Our clients now ask AI first. We wanted them to find our answer there – not just any answer. Context Studios rebuilt the website for that – and handed it over so we maintain it ourselves.“
Start lean, launch fast, or build a fully custom AI system. You pick your goal on the next page.
Day 1 → Day 7+ · Goal: from consultation to launch in a few days
For quick starts with proven tools — SaaS setup, process automation, and tool integration. For small budgets: quick consultation, fast setup, fast first results.
Goal: about 4 weeks · From idea to launch
For startups and quick launches — goal: a first MVP in about four weeks with AI-native development. Traditional agencies often plan several months for this.
Week 1 → 12+ · From assessment to scaled solution
For companies with complex requirements — custom solutions, seamless integration, and scalable architecture. Structured and low-risk.
Context Studios is an AI-native development studio from Berlin-Charlottenburg, founded in 2025 by Michael Kerkhoff. We combine careful engineering with startup speed: the goal is a first MVP in about four weeks at the agreed fixed price, typically 5–10× faster than traditional builds. The studio ships AI agents, MCP servers, and enterprise software.
Book your free 30-minute discovery call
Context Studios UG · Kaiser-Friedrich-Str. 6 · 10585 Berlin
[email protected]
