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Revolutionizing Customer Support with AI
Our AI solution transformed the customer support team of a company that seasonally doubled its staff in 14 languages. We automated simple and personalised responses to complex inquiries, saving the company time and money.
This resulted in 40% cost savings, improved service quality, and ROI in just six months. The MVP development time was just three months.
What we do
Our AI Services
The Three Levels of AI Usage
Our Method
Step 1
Building AI Awareness
The first step is to create awareness within your organization about the opportunities and benefits of AI. This includes internal briefings, workshops, and presentations that share knowledge about AI technologies and their potential applications.
The goal is to sensitize both management and employees and create the basis for an open discussion about AI-based innovations.
Step 2
Building an AI Circle
Once a basic understanding of AI is established, an interdisciplinary team called the AI Circle is formed.
The AI Circle serves as a central hub for ideas, strategies, and initiatives related to the implementation of AI in the organization.
Step 3
Discovering AI Potential & Developing a Roadmap
Within the AI Circle, work begins on identifying specific AI potential within the organization. By analyzing existing processes, products and services, areas are identified where AI can add significant value.
Based on this analysis, a strategic roadmap is developed that prioritizes short-, medium-, and long-term AI projects, defines timelines, and allocates resources.
Step 4
Agile Development of AI Applications
With a clear roadmap in place, the team initiates the development of AI applications in an agile process, which includes prototyping, testing, and iteration to ensure that the solutions developed would meet the company’s needs.
CURRENT PROJECTS
AI in Action
ONLINE SHOP
Automated Product Descriptions in 14 Languages
For a customer in the fashion industry, we developed an AI application for their online store, resulting in cost savings of up to 90%.
The situation: the eCommerce store had to store product descriptions for over 5,000 product variants in 14 different languages. The company was able to utilise AI to generate product descriptions in all the different languages.
Legal
Automated Contract Management
In collaboration with our client, we developed an AI-powered legal assistant based on extensive data collection and RAG (Retrieval Augmentation Generation) data processing, which increased the efficiency of processing legal queries by 80% and significantly improved the quality of responses. This has resulted in faster response times, increased business partner satisfaction, and improved internal efficiency, as even complex queries can now be answered accurately via chatbot.
Team
Our AI Experts
Talentship is backed by a team of highly experienced CTOs from well-known digital companies in Germany, and a team of 100 top-notch developers. With over 25 years of experience in data, software development and infrastructure, we have developed numerous AI applications and models since 2018, e.g. in cooperation with the Fraunhofer Institute. In 2023, we have successfully implemented AI across the board in several mid-sized companies. Few can seriously claim this today.

In a nutshell
Our Results From Over 100 Engagements
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