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 · Munich & Region
Turn one high-value process into a working AI agent in weeks, not quarters. For München teams in insurance, automotive, tech and research, we ship a focused, fixed-price MVP your business can actually use.
Prix fixe après cadrage · proposition sous 48 h
An AI Agent MVP Sprint is a short, focused engagement that turns a single real-world process into a working AI agent — software that reasons over your data, takes steps, and produces an outcome with a human in the loop. We build on leading language models (LLMs) selected per task, integrate them with your tools and documents, and deliver a usable minimum viable product. For companies across München & Region, it is the fastest low-risk way to prove value before committing to a larger rollout.
A tightly scoped MVP that proves real value before you scale — built for München teams who need results, not slideware.
We focus on one high-impact use case and ship a working agent fast, so you see measurable results in the current quarter instead of waiting on a long roadmap.
Your agent reasons over inputs, takes multi-step actions, and hands off cleanly to a person when needed — taking routine work off your team's plate.
We integrate the agent with your existing tools, APIs and documents, so it works inside the systems your München teams already use every day.
Data handling, EU hosting and on-premise options are built in from day one, so the result holds up to the compliance standards Munich's regulated industries expect.
Everything we build is handed over to you — full source, documentation and no vendor lock-in — so your investment stays yours and can be extended later.
Each sprint ends with measured outcomes and a concrete recommendation, giving you the evidence to decide confidently whether and how to roll the agent out further.
Transparent fixed-price process — from idea to operation.
We work with you to pick one process with clear business value, define success metrics, and agree the scope — so the sprint targets a real outcome, not a demo.
Week 1We build a first working prototype, connect it to your data and tools, and test it against real cases so you can see the agent reasoning over your own content early.
Weeks 2–3We harden the agent, add the human-in-the-loop controls and guardrails you need, and integrate it into your workflow so your team can use it in day-to-day work.
Week 4We hand over the code and documentation, support go-live, and recommend the next steps to extend the agent across more cases and teams when you are ready.
ongoing
Munich is Germany's insurance capital, where AI agents can triage claims, summarize policy documents, and pre-check applications against complex rule sets at scale. Beispiel: An agent reviews incoming claims, extracts the key facts, and can shorten the initial assessment.
With major carmakers and a dense supplier network headquartered in and around Munich, AI agents help engineering and after-sales teams search technical specs, generate test documentation, and surface defects faster. Beispiel: An agent cross-checks supplier specifications against engineering requirements and flags deviations before they reach the production line.
As a leading German tech hub with global software and chip operations, Munich firms use AI agents to draft code, route support tickets, and turn product docs into answers for customers and staff. Beispiel: An agent handles incoming support tickets, classifies each issue, and drafts a tested fix proposal for the engineer to approve.
Home to two top universities and several research institutes, Munich's research sector benefits from AI agents that screen literature, prepare grant applications, and structure large experimental datasets. Beispiel: An agent scans hundreds of papers, summarizes the relevant findings, and compiles a structured literature review for a grant proposal.
Lors du premier échange, nous déterminons le format adapté à votre projet et la prochaine étape.
Context Studios · Kaiser-Friedrich-Str. 6 · 10585 Berlin
