
Improve bot implementation success by more than 50% with Adastra and Azure OpenAI.


Traditional chatbots struggle with natural language and context—leading to low success rates and significant intervention from live agents. They also deliver a frustrating user experience that can prevent you from achieving ROI from your chatbot investments.
Adastra’s Intelligent Bot Platform, powered by Azure OpenAI, improves the chance of successful bot implementation and outcomes. Unlike traditional chatbots, our Intelligent Bot Platform uses natural language processing (NLP) and has contextual awareness. These features result in better user experiences, less manual effort from live agents, and higher bot success rates.
We will review your use cases and show you how our Intelligent Bot Platform on Azure OpenAI reduces manual effort and support cost.
Adastra’s AI Chatbot Platform, also called the Intelligent Bot Platform, is powered by Azure OpenAI. Unlike traditional chatbots, it uses natural language processing and contextual awareness, so it understands requests and gives relevant answers. This improves bot implementation success by more than 50%, with better user experiences and less effort from live agents.
Traditional chatbots struggle with natural language and context. That leads to low success rates, frequent intervention from live agents and a frustrating user experience, which can prevent you from getting a return on your chatbot investment. An AI chatbot with natural language processing understands what users mean and keeps more conversations resolved without handover.
Common uses include customer support in place of a live agent, information retrieval, virtual assistants and e-commerce. With Adastra’s AI Chatbot Platform, each of these use cases benefits from natural language understanding and context, so customers get relevant answers to their questions and your support team spends less time on routine requests.
Higher success rates and fast implementation save money. Better bot performance means you need less engagement from live customer support agents, and customers are more satisfied because the bot understands their requests and answers in context. Your sensitive data is stored in your private Azure tenant, which protects it from potential data breaches.
Using public ChatGPT can expose sensitive organizational data to public consumption and data breaches. Running a private instance of GPT in your organization’s Azure tenant protects your data. Your models also go through context training specific to your organization, so the chatbot answers with your own products, policies and terminology instead of generic responses.
Adastra follows five steps. We launch a private Azure OpenAI instance in your tenant, help you consolidate your data sources with security best practices, deploy the bot platform and connect it to Azure OpenAI, train it for context, and finally integrate it with your website and application platforms through a user-friendly interface.
Besides the AI Chatbot Platform, Adastra offers Lucid Data Hub, which launches cloud analytics 90% faster with 80% less TCO, the Intelligent Search Platform, which improves insights from unstructured data by more than 50%, and the AI Content Generator, which reduces content generation effort by 5x. All run in your Azure tenant.
Speak with an industry expert who knows your sector.
I’ve worked with many people at Adastra, and it was always a great experience. The real success isn’t just in the time savings—it is that the solution has inspired new ideas for how AI can transform the way we work.

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