AI Use Cases

Großartiger is a Berlin-based AI agency that showcases 7 real use cases here in which companies gain measurable value from AI strategy, AI training and AI operations.

From automated customer service and content production at scale to an internal knowledge base: these 7 use cases show how Großartiger supports companies across DACH with the practical implementation of artificial intelligence.

Medically reviewed by Manuel Maliszewski

Managing Director, SEO, AI and Web and Product Development

Last updated: 2 July 2026

Automating AI Customer Service

AI in customer service means using language models such as GPT-4 or Claude to automatically answer, categorise or route customer requests. Großartiger builds custom chatbot and automation solutions for customer service teams that connect to existing systems like Zendesk, Intercom or Freshdesk and measurably cut first-response time.

Scaling AI Content Production

AI content production means using language models to speed up research, drafting and SEO optimisation while keeping full editorial control. Großartiger builds workflows for marketing and content teams that noticeably increase output without generic, unedited AI text going live.

Internal AI Knowledge Base (RAG)

An internal AI knowledge base, technically a RAG system (Retrieval-Augmented Generation), connects a language model to your own company documents, so employees can ask questions in plain language and get answers with sources from internal wikis, handbooks and tickets. Großartiger builds exactly this system for companies with scattered knowledge, such as multiple locations or high staff turnover.

AI Data Analysis & Reporting Automation

AI-driven data analysis means automating recurring reports, dashboards and analyses through a system that processes raw data independently, flags anomalies and summarises results in plain language. Großartiger builds reporting automation for controlling and management teams that replaces manual spreadsheet work and proactively flags deviations on request.

AI Agents for Workflow Automation

An AI agent is a system that does not just answer a single question but independently plans and executes a multi-step task, such as pulling data from several systems, making a decision and triggering an action. Großartiger builds agent workflows for operations and back-office teams that take over recurring process chains which previously required several manual steps across different tools.

AI Lead Qualification in Sales

AI-driven lead qualification means automatically scoring and prioritising inbound requests by likelihood to close, based on company data, behavioural signals and the content of the request itself. Großartiger builds scoring systems for sales teams with high lead volume that make sure promising leads get handled first, with the right context.

AI Training for Employee Onboarding

AI-powered onboarding training is an interactive assistant that teaches new hires company knowledge, processes and tools at their own pace and answers questions on demand, instead of pointing them to the next HR office hour. Großartiger builds training assistants for HR and L&D teams that speed up onboarding and surface knowledge gaps before they become a problem.

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