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 Workflows · Munich & Region
Turn slow, manual processes into automated workflows — built for Munich's insurers, carmakers, and tech firms. We connect leading language models to your systems so routine work runs itself and your team focuses on judgment, not data entry.
Prix fixe après cadrage · proposition sous 48 h
AI Workflows are automated process chains in which leading language models (LLMs) read documents, classify requests, and trigger the right next step across your existing tools — without rigid scripts. Instead of staff copying data between systems, the workflow handles intake, extraction, and routing on its own and escalates only the cases that genuinely need a human. For companies in München & Region, this means faster turnaround in claims, engineering, and support while every decision stays auditable.
Less manual handling, faster cycle times, and processes that stay reliable as volume grows.
Multi-step processes run from intake to outcome on their own, so handoffs and copy-paste work disappear.
Workflows plug into the tools you already use — CRM, ERP, ticketing, email — instead of forcing a new platform on your team.
Emails, PDFs, and scanned forms become structured data the workflow can act on without manual transcription.
Edge cases and high-stakes decisions are routed to a person, keeping accountability and quality intact.
Tasks that took hours or days finish in minutes, freeing capacity during peaks without extra headcount.
Every run is logged and traceable, so you can prove time saved, error rates, and throughput from day one.
Transparent fixed-price process — from idea to operation.
We map your current process, pinpoint the highest-friction steps, and agree on a clear use case with measurable outcomes.
Week 1We connect to your real data and tools and build a working prototype so you can see the automated workflow in action early.
Weeks 2–3We harden the workflow, add human-in-the-loop checkpoints, and integrate it into your live systems and access controls.
Week 4We monitor results, refine the workflow, and extend it to further processes once the first use case proves its value.
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
