chatz
chatz™ builds domain-specific AI chatbots with cloud computing services to respond to the specific needs of your customers. Our hallmark step is preparing clean and accurate training information using your proprietary data, resulting in true and correct responses to user prompts.
How it Works
1
The development process starts by defining the purpose of the AI chatbot and the specific audiences you wish to serve and support.
2
We continue with the execution of a data audit to identify all relevant data sources created and housed within your organization to be collected.
3
Data is prepared and loaded to a vector database and retrieval-augmented generation (RAG) technology is provisioned and enabled.
4
Finally, the AI chatbot is configured and deployed to accept input prompts from users and to respond with true and complete answers.
Resolve 80% of customer inquiries with AI chatbots from chatz
Create domain-specific AI chatbots to respond to questions for which your organization has the best answers. Assist, engage and resolve inquiries with your data.
- Customer service and support records
- Appointment data and visit instructions
- Product information materials
- Employee handbook and guidelines
- Proprietary research and insights
A Few Use Cases
Lead Generation
Engage your website visitors more effectively, qualify leads through meaningful dialog, and ensure the capture of valuable contact information for prompt follow-up.
Ecommerce & Retail
Enhance the ecommerce experience by providing visitor support, streamlining the purchasing process, giving product recommendations and answering FAQs.
Customer Support
Provide 24/7 assistance to address inquiries, effectively resolve issues, and ensure a positive overall experience for each customer by creating a helpful environment.
Internal Operations
Accelerate workflows by automating routine tasks and providing instant access to information. These free up employees to focus on more strategic and creative work.
Frequently Asked Questions
What are AI chatbot hallucinations and how are these minimized?
AI chatbot hallucinations occur when AI models generate information that sounds plausible but is actually incorrect, fabricated, or unsupported by training data. These can include made-up facts, citations, statistics, or logical inconsistencies presented with confidence.
AI chatbots hallucinate because of how the models that power them fundamentally work. They are trained to predict the next most likely token (word or piece of text) based on patterns in their training data, not to retrieve or verify facts. The model is essentially a highly sophisticated pattern-matching and prediction engine that generates plausible-sounding text, but it has no inherent understanding of truth and no ability to distinguish between accurate information and that which is made up. When faced with gaps in knowledge or ambiguous prompts, the model tries to complete the pattern in a way that sounds coherent and confident.
chatz™ reduces hallucinations with rigorous data preparation combined with the implementation of Retrieval-Augmented Generation (RAG) to ground responses in verified documents.
Why should we choose chatz to create AI chatbots over competitors?
What separates chatz™ from competitors may come as a surprise: data preparation. It’s the familiar 80/20 rule again. 80% of AI chatbot quality comes from the quality of the data fed to it, while 20% comes from model sophistication and prompt engineering (read more →). At Databoozt, we are data experts and bring our expertise to chatz™ in collecting, cleaning and arranging proprietary data to create high performing AI chatbots. When comparing solutions, remember that the most important criteria to evaluate are the data preparation practices.
What technologies do you use to build AI chatbots?
AI chatbots from chatz™ are powered by AWS (Amazon Web Services). AWS is used to build, deploy and maintain enterprise-grade agents which are eligible for SOC 2 Type 2, GDPR, ISO 27001, and HIPAA compliance. SQL and Python scripts are used to manage and prepare data loaded to your chatz™ knowledge base. Third-party chatbot interfaces are integrated into solutions as business situations warrant.
What types of data are used to train AI chatbots?
AI chatbots from chatz™ are trained on your internal datasets that include information from e-books, articles, case studies, white papers, website content, conference presentations, marketing materials, customer support records, internal meeting transcripts, internal helpdesk records, proprietary research, institutional knowledge sources, product specifications, product instruction manuals and more. Data file types supported include .txt, .csv, .doc, .xls, .md, .pdf and .html.
Is our proprietary data kept safe from web crawlers?
Yes, proprietary information and data remain secure within your chatz™ knowledge base and are not accessible to web crawlers. This means only your AI chatbot from chatz™ provides the best answers and information about your organization and its areas of expertise.
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