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Why chatbots fail. And how we solve the problem.




Automated customer communication is valuable for both sides: Quick, transactional interaction saves time and costs, and delights users. However, the reality of chatbots is that they are less automated and more standardized. If a customer does not follow the preconceived information path, the communication simply stops. This ruins every customer experience.


Kaia's team's AI employees are different. Kaia offers the first chatbots that make speaking as uncomplicated and efficient as with real employees.


What makes Kaia's team different? Our 10 revolutions at a glance.


1. AI Native

Kaia is one of the first chatbots completely based on the latest and most powerful AI models available on the market. Kaia is strictly provider-independent - the LLM used can be set in the backend. Even on-promise versions are possible. Standardly, Kaia's team uses ChatGPT in versions 3.5 and 4. All future updates from OpenAI are immediately usable.


2. Modules Instead of Workflows

The logic of a chatbot was previously defined in so-called "workflows". Workflows are preconceived if-then paths that the user must follow to get the desired information. They are either too rigid and simple, or so complex due to the consideration of exceptions that they are difficult to handle - for both the user and the provider.


Kaia's concept is radically simple. Instead of rule-based one-way communication, Kaia's team uses conversation modules, the order of which the user determines completely freely. Does he want to enter information or retrieve knowledge? The modules respond completely flexibly to the user's requirements. It is possible to integrate an infinite number of modules, thus representing rare interaction occasions without compromising the bot's clarity.


3. Instructions Instead of Algorithms

This also applies to the creation of the modules: They are completely language-based and thus much easier to administer than algorithms. All information and interactions are stored as language instructions and are easily accessible, editable, and exchangeable by staff at any time.


4. Readable Data Sheets

It may sound surprising, but ChatGPT cannot read data sheets, only comma-separated data (CSV). This is not a problem in itself, but the AI quickly gets confused when it comes to assigning information securely: What is a headline, what is content? How are data sorted and structured in CSV tables? Here, the answer quality quickly suffers.


Kaia standardly includes a function that allows the AI to read these tables securely, i.e., error-free, thus significantly increasing answer quality even with large amounts of data.


5. Scorings

Kaia can not only read tables but also add values so that scorings are possible. This is essential for individual price or product recommendations.


6. Clear Data Sources & Recommendations

Have you ever tried to get a clear recommendation from ChatGPT or its competitors? It's not possible, this capability was untrained from the models so they could be more neutral and thus better for the mass market. For a brand, this is a disadvantage, as of course, it wants to highlight the advantages of its products and services. With Kaia, this is possible at any time, as Kaia uses only the GPT language model for its own data pool on request. Thus, clear statements are also possible.


7. Language-Based Engagement Builder

Kaia is the world's first AI-based GPT chatbot with a language-based engagement builder, which automatically translates texts into clickable engagements. Currently, inputs, ratings, checkboxes, and multiple-choice are connected.


8. Structured Answers

Are you also often annoyed by lengthy, unstructured, and by empty formulas inflated answers from AI models? We are too. That's why Kaia is different. Kaia keeps it brief, structures answers with headings, paragraphs, and bullet points. And prefers to ask before providing more details that might otherwise only cause an information overload.


9. Flexible Interface

Kaia offers a friendly and functional interface that can be adapted to corporate design or application fields. For better overview, all milestones of the conversation are summarized and linked in a navigation box (FR).


10. Professional Backend, Transparent Data

Kaia provides an overview of all conversations, costs, and statistics and has an API that enables all data in modern CRM and e-commerce applications. This makes it easy to control the quality of data, engagements, and results, and continuously develop them further."

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