Chat securely
Taod develops its own chatbot TaodGPT
ChatGPT inspires the working world. Companies that rely on data protection, cost control and data sovereignty can look forward to: An internal chatbot, as introduced by taod, is safe, flexible and economical.
ChatGPT promises huge efficiency improvements in everyday working life. Whether it's formulating answers to customer inquiries, programming support, or creative sparring sessions to make decisions for important processes — the possibilities seem endless. But companies that want to use ChatGPT productively for their employees face a number of critical factors, particularly in terms of data protection, security, costs, and control.
It is crucial that sensitive company data does not enter external systems in an uncontrolled manner, as this can entail significant security risks. The possibility of continuing to train AI models based on user data is particularly critical. Companies must therefore take technical and organizational measures to prevent the misuse of confidential information.
Economic aspects also play an important role: Rigid pricing models, for example with monthly costs of around 30 US dollars per user, can quickly become uneconomical when used in variable ways. At the same time, many external solutions lack sufficient control over data storage and the models used. Organizations often have little control over where and how their data is processed, raising both security concerns and governance issues.
In addition, compliance with legal requirements and internal guidelines is essential. The use of GenAI services must be in line with data protection laws, industry-specific regulations and compliance requirements in order to avoid legal and regulatory risks. Finally, integration into existing systems is also a challenge. Many solutions offer only limited customization options, which makes seamless integration into existing processes difficult and can limit operational benefits.
These aspects require the development of a tailor-made solution that meets the high requirements of data protection, cost control and operational flexibility. Without a suitable solution, however, not only risks remain, but also potential remains untapped — whether due to inefficient use, lack of adaptability or limited integration into existing systems. Once the solution is implemented, there are numerous benefits that more than justify the initial effort.
TaodGPT as a secure GenAI platform
One example of the successful implementation of a secure GenAI platform is TaoDGPT. With this chatbot, employees at taod have access to an internal platform that combines the performance of ChatGPT with strict security and control requirements.
The basis of TaodGPT is Azure OpenAI, a service from Microsoft that provides access to OpenAI's most advanced models via the Azure platform. A particular advantage of this service is the flexibility to choose the location of the inference so that data processing meets security requirements and ensures that data is processed in the EU. This makes it possible to use powerful models such as GPT-4o — a multimodal model that can process and generate text, images, and audio.
With high precision, it is particularly suitable for complex analyses and demanding scenarios that require deep understanding and extensive information processing. The O1 Reasoning Model is one of the most advanced of its kind and impresses with exceptional problem-solving capabilities. Particularly in areas such as programming and mathematics, it shows its strengths by solving complex tasks with high accuracy and simulating the human thought process. With TaoDGPT, employees can not only benefit from the performance of cutting-edge GenAI models, it also meets the highest standards in terms of security, cost control and flexibility.
“I prefer TaoDGPT over a shared ChatGPT resource because it enables trouble-free work with concurrent requests and offers additional convenience through single sign-on.”— Andreas Schiffer, data engineer
Maximum data security
The platform uses models hosted in the EU and meets the highest data protection standards, meaning that sensitive data is only used for inference and is not stored.
Full cost control
Thanks to token-based billing, companies only pay for the actual consumption of their employees — often significantly cheaper than rigid subscription models.
Comprehensive flexibility
Companies freely choose between different models — from resource-saving to high-performance — and integrate functions such as image generation as required.
Individual adjustment
Your own GPTs, templates and web search can be tailored precisely to company-specific use cases.
Seamless integration
The internal chatbot can access internal knowledge sources and databases to provide individual answers and analyses.
Individual accounts
Employees simply log in via their Microsoft account and receive personalized chat histories and saved content.
Own Branding & Quick Iteration
The GenAI platform can be visually and functionally adapted to the company and enables quick responses to user feedback.
“I barely noticed any difference to the regular ChatGPT.”— Stephan Dahlmann, Managing Consultant
The future of TaodGPT
By continuously integrating employee feedback, the GenAI platform is constantly being supplemented with functions and is therefore even more flexible and efficient. Another focus is on developing interoperability with other tools and systems within the company. CRM and ERP systems should be integrated directly into TaoDGPT in a timely manner to enable data analysis and processing directly into the work processes of the teams. With this strategy, TaoDGPT should not only play a supporting role, but also actively contribute to increasing efficiency and process optimization.
The internal chatbot TaodGPT has already made a significant contribution to the integration of GenAI in the company. The solution is scalable and adapts to growing requirements — both in terms of security requirements and technological developments. The individual GenAI platform is therefore a long-term investment in digital transformation and increasing the competitiveness of the company.
“I find it very pleasant to have my own environment where I can ask all my personal questions.”— Marlo Wockenfuss, Managing Consultant
Is an internal GenAI platform the right solution for your company?
The integration of generative artificial intelligence (GenAI) into business processes is a strategic decision that should be carefully prepared and supported. In order to be able to realistically assess the added value of your own GenAI solution, a structured approach in three key steps is recommended.
First, the focus is on a comprehensive inventory: Which AI tools are already being used in the company, and where is there untapped potential? A well-founded analysis of current usage provides important insights into which areas a secure and flexible GenAI platform can create real added value — whether through increased efficiency, better decision-making bases or innovative applications.
Building on this, it is essential to define clear guidelines. Data protection and security must be a top priority. Mandatory requirements for the use of GenAI promote transparency, create trust and prevent the development of shadow IT, which poses risks for the entire company.
After all, employee empowerment is a decisive success factor. The potential of GenAI can only be fully exploited if the necessary know-how is available. Training, internal guidelines and best practices help to use technology effectively and responsibly — and thus to sustainably increase productivity.
This article was first published in our magazine data! Issue 01/25. Read it now for free!
