Unique services
Choose the right AI model
Choosing the right Large Language Model (LLM) is critical to optimizing performance and customer experience. We offer several LLMs that can be combined and customized to meet your unique requirements — ranging from generative text to advanced analytics.

Maximize potential
Using multiple Large Language Models (LLMs) gives you not only performance and scalability, but also the choice to tailor solutions based on your needs. Our approach allows you to combine multiple LLMs to take advantage of their unique strengths — all to create an optimal AI experience.


Collect all communication in one case
We saw a clear need to simplify and centralize the customer dialogue. To give customers and employees a better experience+K8 requires a system where all the necessary information is gathered in one place, without friction.
Use your own AI model
Using your own AI model means you have total control over how the model is trained, adapted and deployed. With the right strategy, you can create a model that is perfectly optimized for your needs and integrated into your business.


Restrict AI to own selected data
Restricting the AI model's access to specific, selected data ensures that it delivers relevant and accurate responses. By controlling what information the model has access to, you can optimize performance and avoid irrelevant or inaccurate data affecting results.
Create your own AI assistant
Building an AI assistant means defining its purpose, choosing the right technology and training it with data to deliver accurate and useful answers. Here is a step-by-step guide to creating your own assistant, tailored to your needs.


Rate and analyze
Rating text from customers and employees provides valuable insights into quality, relevance, and opportunities for improvement. With real-time support, both employees and customers can be helped to create clear and accurate messages, increasing both efficiency and experience.
Succeed with AI and achieve the best results
1. Define clear goals
Set specific and measurable goals for your AI strategy. Decide what you want to achieve — faster response times, improved customer satisfaction, or more efficient workflows — to give direction and focus to your venture.
2. Train AI on the right data
Make sure your AI is trained on relevant and up-to-date information. Limit access to selected data tailored to your business needs to increase precision and relevance.
3. Use AI as a support, not a replacement
Let AI automate routine tasks and provide insights, but retain human empathy and creativity in complex or sensitive situations. The combination creates both efficiency and customer focus.
4th. Start small and expand
Implement AI in specific areas first, like customer support or FAQ management. Evaluate the results before scaling up to more processes or departments.
5. Measure and analyze performance
Set key metrics (KPIs) such as customer satisfaction, response time, and productivity to measure AI effectiveness. Use insights to continuously optimize and improve the solution.
6. Give employees the right support
Educate the team in how AI works and how to best use it in their work. Combine this with real-time support such as solution proposals and quality assurance to maximize employee performance.
7. Ensure data integrity and ethics
Protect sensitive data with robust security measures and keep AI transparent and accountable. Build trust with both customers and employees by following clear ethical guidelines.
8. Adapt and evolve AI over time
AI is not a one-time solution. Regularly update and fine-tune the model to meet new requirements and changes in the business. This keeps AI relevant and effective.
Curious about how you can simplify your customer service?
Book a free demo and see how you can manage cases faster, increase customer satisfaction and empower your employees with smart, AI-powered solutions.