Table of Contents
1. The Initial Situation
Many medium-sized companies often start their journey into AI through the personal use of tools like ChatGPT. These tools are easily accessible and have the potential to optimize workflows and quickly enhance employee creativity. However, while initial productivity increases, the risk of data exposure and loss of sensitive information looms in the background.
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Start Free AI Maturity Check2. The Strategic Solution Approach
Instead of relying solely on consumer tools like ChatGPT, companies should consider implementing corporate LLMs early on. These tailored models can be adapted to specific business requirements, significantly improving both security and effectiveness.
3. Practical Example: The Medium-Sized Machine Manufacturer
A practical example: A medium-sized machine manufacturer with 200 employees initially started with individual ChatGPT subscriptions. It quickly became clear that specialized responses and compliance with regulations could not be reliably ensured with the consumer tool. By introducing a corporate LLM, the manufacturer was able to provide tailored assistance solutions that both increased productivity and guaranteed data security.
4. Business Value and ROI
Investing in corporate LLMs not only offers medium-sized companies a time advantage through accelerated processes but also significant monetary benefits. The ROI arises from minimizing risk expenditures and increasing efficiency through automated processes and tailored support.
5. The First Steps Towards Your Own Corporate AI
- Assess the current use of AI tools in the company and identify risks.
- Define long-term business goals that can be optimized through AI.
- Search for partners for the implementation and adaptation of your own corporate LLM.
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