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The best AI assistants for Germany (2024)

2024 Ranking 

updated on 05/2024

The best AI assistants for Germany

Learn about the best AI assistants for Germany of 2024 and understand, which criteria to pay attention to, when choosing an AI assistant software.

Table of contents

What are AI assistants?

AI assistants help users interact with AI models through simple, real-time conversations in natural language. These AI assistants can make use of vast online information to offer quick insights and handle tasks like editing texts, changing content formats, correcting grammar or spelling mistakes and translating languages.

By automating manual processes or some steps of them, these assistants make daily work more efficient and productive.

Important criteria for German companies

1. Target companies: Enterprise vs. SMBs vs. Consumers

The suitability of an AI assistant often depends on the size and type of the company it is designed for. Software developed for large enterprises with thousands of employees typically offers extensive role management features and complex pricing structures.

In contrast, small and medium-sized businesses (SMBs) may benefit from simpler, more cost-effective solutions. Consumer-oriented AI assistants are a different category altogether, focusing on usability and affordability for individual users. Understanding whether the AI tool is designed for enterprises, SMBs, or consumers is crucial for making the right choice.

2. Target users: Endusers vs. developers

AI tools are usually either addressing developers, in order to support them building powerful endproducts or endusers directly. This can sometimes be confusing, but is important to take into consideration. 

Developer-focused tools come equipped with features that are essential for coding and technical tasks, which may not be suitable for non-technical end-users. Therefore, it’s important to ensure that the AI assistant aligns with the specific needs and expertise of its intended users.

3. Positioning: Company-wide vs. department-specific

AI assistants may be positioned as company-wide tools or specialized for specific departments. A department-specific solution can be tailored to enhance workflows within a particular department, such as IT or research.

On the other hand, a company-wide solution provides a uniform tool for all employees, eliminating the danger of introducing multiple silo tools for multiple departments, like one “AI for sales”, one “AI for customer support”, and one “AI for HR”. Especially for smaller companies, a unified approach is often more practical and cost-effective.

4. Ready-made solutions: prepared templates vs. empty tool

Companies must decide whether they prefer to build their workflows from scratch or utilize ready-made templates.

Workflow tools like Zapier or n8n offer the flexibility to create custom workflows, while solutions like ValueFlow provide pre-built workflows for common business tasks. Depending on the company’s skills and resources, either approach can be beneficial.

5. AI chats

AI assistants with chat functionalities are increasingly popular, with ChatGPT being one of the most well-known examples.

While the most popular AI model providers seem like the best choice, customers should be aware that the main goal of these model providers is to continue to create more powerful and more general AI models.

They are less interested in building useful functionality around their models, unlike companies that operate at the application layer. ValueFlow for example builds on top of the most powerful AI models and creates application-relevant functionality around it. An AI chat is easy and flexible, but there might be more suitable tools for serious business usage.

6. AI workflows

AI workflows enable users to automate and connect multiple steps in a business process, enhancing efficiency and productivity. For meaningful business applications, it’s advisable to choose an AI assistant that supports flexible workflow automation, allowing for complex task augmentations.

Sooner of later this will become the most important aspect of your AI assistant.

7. Custom data collection

The old wisdom “data is the new oil” still remains relevant, as AI outputs are significantly influenced by relevant and specific data – it is actually more true than ever before. 

Since the rise of ChatGPT and AI models, usual companies are now the first time ever in the situation that they can extract specific value from massively collected custom web data. Before this was a topic for highly specialized data companies, but this is now possible even for smaller companies.

While some AI tools, such as ChatGPT, offer live web crawling capabilities, but this may not suffice for structured data collection needs.

Tools like n8n can integrate with data crawling providers for custom data collection, while ValueFlow includes built-in functionalities for gathering information on competitors, news, or customers, making it a strong choice for data-driven businesses.

8. AI model flexibility

The AI landscape is rapidly evolving, with major players like Google, OpenAI, and Anthropic continuously advancing their models.

To avoid vendor lock-in, it is recommended to select AI assistants that offer flexibility in AI model integration, allowing users to switch to superior models as they become available. This ensures that the company can always leverage the best available technology.

9. GDPR compliance

Last but not least the obvious topic for companies in Germany: You have to make sure that the AI assistant you will be using is GDPR-compliant. The underlying AI models need to be hosted within the EU and your data shall not be used for model training. 

For legal reasons we refrain from evaluating tools with respect to their compliance, but we advise you to take a look at the websites of your favorite tools, where they will provide information.

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Ranking

The best AI assistants for Germany (2024)

Recommendations

For large enterprises

Our recommendation to large enterprises is to take a closer look at a) large cloud providers like Google Cloud and Microsoft Azure or b) generic workflow tools like Zapier or n8n. 

Your developers will be able to create final AI assistants, while compliance is taken care of.

For small or
medium-sized companies

Our recommendation to small or medium-sized companies is to go with a holistic and easy tool like ValueFlow, which provides workflows out-of-the-box, takes care of data collection and optimizes for non-technical users.

For very specific needs

If you have one domain of work and are not interested in a solution for your whole company, then a domain specific tool like scite.ai for research can be a great fit.

Contact Us

We're always here to help. If you have any questions or concerns, please don't hesitate to reach out to us.

contact@valueflow.ai