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Casi d'Uso
CRMRafforzare relazioni clientiPopolareE-CommerceAumentare vendite onlineSistema prenotazioniPrenotazioni 24/7Gestione progettiCoordinare i teamFatturazionePagamenti più velociAnalyticsDecisioni basate sui datiAI Process Automation · Munich & Region
We build AI agents that take repetitive, rule-heavy work off your team — triaging claims, routing tickets, and structuring documents so Munich businesses move faster with fewer manual handoffs.
Prezzo fisso dopo lo scoping · proposta entro 48 h
AI Process Automation uses autonomous agents built on leading language models (LLMs) to carry out multi-step business processes end to end — reading documents, applying your rules, calling your systems, and handing off only the decisions that genuinely need a person. For companies in München & Region, this means claims, support, and engineering workflows that run continuously instead of stalling in inboxes and queues.
Less manual routing, faster turnaround, and a clear audit trail on every action.
Agents run a whole workflow — intake, classification, action, follow-up — so cases close without bouncing between people and tools.
Policies, claims, specs, and forms get read and structured automatically, turning unstructured paperwork into ready-to-use data.
Agents work inside your existing CRM, ERP, and ticketing via APIs and webhooks — no rip-and-replace, no parallel tools.
Sensitive or high-value steps wait for a person to sign off, so you scale throughput without losing control.
Every run is logged and traceable, giving you clear numbers on volume handled and time saved per process.
GDPR-compliant data handling with EU hosting or on-premise deployment keeps regulated workflows audit-ready.
Transparent fixed-price process — from idea to operation.
We map your highest-volume, rule-heavy process and define clear success criteria and approval boundaries before any code is written.
Week 1We connect to your documents and systems and build a working prototype that handles real cases end to end.
Weeks 2–3We harden the agent, wire it into your live tools, and add logging and human-approval checkpoints for safe rollout.
Week 4We monitor performance, refine the rules, and extend automation to adjacent processes as throughput grows.
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
