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 decisionsSystem integration with AI
AI integration means connecting language models and AI functions directly to your existing systems such as ERP, CRM or DMS instead of introducing new software. Context Studios, an AI-native development studio in Berlin, connects AI to your IT via APIs, MCP and an adapter layer – securely, monitored and without interrupting operations.
Fixed price after scoping · proposal within 48 h
Last updated:
AI integration means embedding AI models into existing IT systems. Language models and ML services are connected to business applications via APIs, webhooks or the Model Context Protocol, so AI functions become available directly in familiar work environments – without changing systems and with controlled access to company data.
AI API developmentAI platform developmentAI automationLLM integrationEnterprise AI development
Embed AI into your existing system instead of rebuilding everything
We use the Model Context Protocol as a standardised integration path. MCP enables two-way communication: the AI can access your company data and carry out actions in your systems — securely, in a controlled way and traceably.
Instead of creating direct dependencies between AI and your systems, we build an adapter layer in between. It abstracts the complexity of both sides and lets you swap AI models or business systems without having to rebuild the integration.
AI needs current data for current answers. We implement real-time synchronisation between your data sources and the AI layer: change data capture for databases, webhook-based events for SaaS tools and streaming pipelines for high-frequency updates.
Our integrations are introduced during live operation — without downtime, without data loss and without risk to your existing processes. With feature flags and a gradual rollout, you activate AI features in a controlled way and can return to the previous state at any time.
For common business applications we rely on reusable connectors: SAP, Salesforce, Microsoft 365, HubSpot, DATEV, Lexware and more. These prebuilt components shorten development time and reduce project effort.
Every integration ships with comprehensive monitoring: data flow tracking, error alerts, performance metrics and audit logging. You can see in real time how data flows between your systems and the AI — and you are notified immediately when something is wrong.
Free 30-minute initial call via video. We get to know your system landscape, identify suitable integration points and give you a first assessment of feasibility and timeline.
Day 1You receive a written proposal with scope, timeline and fixed price, plus an integration design covering all data flows and interfaces.
Days 2–3Agile development with weekly demos. Goal: a working MVP in about 4 weeks, with production-ready code and automated tests.
Weeks 1–4Production deployment with complete documentation, monitoring and 30 days of free bug fixing from final delivery. Maintenance and further development by agreement.
Week 4+
Mid-sized companies benefit particularly from integrated AI, because their grown IT landscape often cannot simply be replaced. We integrate AI functionality into existing ERP, CRM and DMS systems so that employees receive AI support in their familiar tools.
Integrating AI into DATEV, Lexware and other accounting systems: automatic receipt capture, intelligent account assignment and anomaly detection in bookings. Our integration works within existing workflows and requires no retraining of staff.
Connecting AI to property management software for automated tenant communication, intelligent maintenance planning and AI-assisted rent analysis. The integration links property management systems with AI models for data-based decisions.
Integrating AI forecasting models into TMS and WMS systems for predictive route planning, automatic freight document creation and intelligent inventory optimisation. The AI uses historical delivery data from your existing systems.
Connecting AI to applicant tracking and HR systems: automated pre-selection, intelligent matching of candidates to open positions and AI-assisted interview preparation. The integration works directly in your recruiters’ existing HR tools.
Integrating AI into content management systems and editorial tools: automatic tagging, translation pipelines and content analysis. The AI fits seamlessly into existing editorial workflows and supports them without changing processes.
Examples we can build for you
An AI agent in customer service that understands natural-language requests, accesses internal knowledge bases and delivers answers automatically — around the clock.
An intelligent knowledge system with a RAG architecture: it searches large document collections and delivers source-based answers in seconds.
Autonomous AI agents that automate recurring business processes — from data extraction to report generation.
No system change, no migration – we bring AI into your existing tools. Discuss your requirements in a 30-minute call directly with the founder.
Context Studios · Kaiser-Friedrich-Str. 6 · 10585 Berlin
