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CRMRafforzare relazioni clientiPopolareE-CommerceAumentare vendite onlineSistema prenotazioniPrenotazioni 24/7Gestione progettiCoordinare i teamFatturazionePagamenti più velociAnalyticsDecisioni basate sui datiRPA & AI · Munich & Region
We pair classic robotic process automation with leading language models so Munich's insurers, manufacturers, and tech teams stop pushing documents by hand. From claims triage to back-office data entry, your repetitive work runs itself.
Prezzo fisso dopo lo scoping · proposta entro 48 h
RPA & AI combines rule-based robotic process automation, which moves and clicks through your existing software like a tireless digital worker, with leading language models (LLMs) that read, understand, and decide on unstructured content. Where classic RPA only handles fixed, predictable steps, the added language layer lets the same workflows interpret emails, scanned forms, and policy documents. For companies across München & Region, this turns slow, document-heavy back-office work into reliable, hands-off automation.
Six ways intelligent RPA removes repetitive work from your Munich teams.
Invoices, claims, and contracts are read and extracted automatically, so staff stop retyping data from PDFs and scans.
Whole workflows run unattended across your existing tools, which can shorten handling times without new software licenses.
We integrate with your ERP, CRM, and legacy applications through APIs or the UI, so automation fits the stack you already run.
Edge cases are routed to a person for approval, giving you the speed of automation with the safety of human oversight.
The language layer recognizes when something looks unusual and flags it instead of blindly processing errors downstream.
Every automated step is logged, so you see exactly how many hours and how much error rate the bots remove each month.
Transparent fixed-price process — from idea to operation.
We map your most repetitive, high-volume processes and pick the one with the clearest payback for a first automation.
Week 1We build a working bot against real documents and connect it to your systems so you can see results on your own data.
Weeks 2–3We harden the workflow, add human-in-the-loop checkpoints, and roll it into your day-to-day operations.
Week 4We monitor performance, refine the rules, and extend automation to the next processes as volumes grow.
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.
Nella prima call chiariamo quale formato è adatto al suo progetto e qual è il passo successivo.
Context Studios · Kaiser-Friedrich-Str. 6 · 10585 Berlin
