Votre objectif
Être visible là où l'IA répond
Automatiser les processus
Construire un produit
Déployer des agents IA
Connecter et moderniser vos systèmes
Savoir où nous en sommes
Cas d'Usage
CRMRenforcer les relations clientsPopulaireE-CommerceAugmenter les ventes en ligneSystème de réservationRéservations 24h/24Gestion de projetCoordonner les équipesFacturationÊtre payé plus viteAnalytiqueDécisions basées sur donnéesAI Agent MVP Sprint · Braunschweig & Region
Turn a single high-value workflow into a working AI agent in weeks, not quarters. We ship a production-ready MVP for Braunschweig's research, mobility and biotech teams — measurable results before you commit to a large rollout.
Prix fixe après cadrage · proposition sous 48 h
An AI Agent MVP Sprint is a focused, fixed-price engagement that delivers one autonomous AI agent — built on leading language models (LLMs) — that handles a real task end to end, from reading your data to taking action. Instead of a long discovery phase, you get a working minimum viable product in weeks that proves value on a single workflow. For Braunschweig & Region, that means validating automation quickly in one of Europe's most research-intensive areas before scaling across teams.
Context Studios in BraunschweigAll AI servicesAI agents guide
Everything in the sprint is geared toward one outcome: a deployed AI agent that earns its keep on day one.
We pick the single workflow with the highest payoff and build an agent that completes it autonomously — so the value is obvious and measurable from the first week of use.
The agent reads and writes where your data already lives — files, databases, internal tools and APIs — so it works inside your existing processes instead of adding another silo.
A fixed sprint scope removes the endless planning loop. You see a usable prototype within days and a production-ready MVP within weeks, keeping momentum and budget under control.
Guardrails, approval steps and clear logging mean the agent acts within boundaries you define — critical for regulated research, calibration and quality documentation work.
All source code, prompts and configuration are handed over to you. No lock-in, no per-seat surprises — your team can run, extend and audit the agent independently.
The MVP is structured so that, once it proves its worth, the same foundation extends to neighbouring workflows and teams without a costly rebuild.
Transparent fixed-price process — from idea to operation.
We map your workflows, pick the one agent with the strongest business case, and define exactly what success looks like — measurable outcomes, data sources and guardrails agreed up front.
Week 1We connect the agent to your real data and tools and build a working prototype you can try, so feedback shapes the MVP early instead of after launch.
Weeks 2–3We harden the agent into a production-ready MVP, embed it in your systems, and validate it against the success metrics defined in week one.
Week 4We hand over the code with exclusive usage rights upon full payment, support go-live, and — once the agent proves its value — extend it to adjacent workflows and teams.
ongoing
With the TU Braunschweig and dozens of institutes clustered in one of Europe's densest research regions, AI agents accelerate literature reviews, proposal drafting, and the synthesis of experimental data into publishable findings. Beispiel: Ein Agent durchsucht tausende Studien, extrahiert relevante Methoden und liefert in Minuten einen strukturierten Forschungsstand statt nach Wochen manueller Recherche.
As home to major automotive financial services and a research airport for vehicle and traffic testing, the city's mobility sector uses AI agents to process fleet data, automate financing workflows, and monitor test-drive telemetry. Beispiel: Ein Agent prüft eingehende Leasing- und Finanzierungsanträge, gleicht Bonitätsdaten ab und kann die Vorprüfung verkürzen.
With national aerospace research and Germany's federal metrology institute based here, AI agents support precise measurement documentation, sensor-data analysis, and the automation of calibration and compliance reporting. Beispiel: Ein Agent wertet umfangreiche Sensor-Messreihen aus, erkennt Abweichungen automatisch und erstellt einen normgerechten Kalibrierbericht ohne manuelle Tabellenarbeit.
Building on Braunschweig's long tradition in food production and a leading biotech and microbiology research base, AI agents streamline quality documentation, batch traceability, and the analysis of laboratory and supplier data. Beispiel: Ein Agent überwacht Chargendaten und Lieferantennachweise, markiert Qualitätsabweichungen sofort und erstellt die HACCP-Dokumentation automatisch.
Lors du premier échange, nous déterminons le format adapté à votre projet et la prochaine étape.
Context Studios · Kaiser-Friedrich-Str. 6 · 10585 Berlin
