GenAI Admin Portal

Azure OpenAI/ChatGPT Conversational Service with Copilot Studio

Decrease training cost, smarter conversational service, and higher accuracy with GenAI Admin Portal

Intumit GenAI Admin Portal integrates LLMs and Copilot features to create cutting-edge artificial intelligence products based on NLU/NLP.

Utilizing Azure OpenAI/ChatGPT models, our customers can leverage the latest Copilot and NLP technology to automatically generate training data, detect intents, and generate initial commands to streamline the conversation building process, reducing time and manpower requirements.

GenAI Admin Portal uses less training data and provides higher accuracy as we aim to deliver superior conversational services, and advanced generative AI and Copilot services that support multiple languages, enabling multinational brands/companies to create chatbot solutions at lower costs.

GenAI Admin Portal with Azure OpenAI / ChatGPT

In order to improve customer and employee experiences, Intumit prioritizes enhancing the predictiveness, applicability, and versatility for its Copilot features during development, and fine-tune them to provide better customer experience.

Semantic Search: Copilot feature to extract and understand multiple intents

Understand intents and provide summarized response with source

Transcribe voice to text, apply tags and categories, and analyze a sentimental feedback

Multilingual support using non-native source files

Support multingual source and multilingual answer through Copilot features

Custom AI Copilot Features for Enterprise Needs

Intumit GenAI Admin Portal has the ability to create a personalized Copilot feature that fits best for enterprise needs. Such examples can be seen below, such as contract comparison, meeting note summary, fraud/scam detection, and more.

Semantic Search, Automatic Documentation, Voice Interaction, and multilingual support are the most used modules.

GenAI Admin Portal Functions

Establishing a structured FAQ knowledge base

Transform static FAQs into a specialized structure using key domain terms with machine learning.

Upload content to auto-generate training data.
Summairze, create tones, and create konwledge base at ease.
Automatically generate synonyms and contexts.

Combining answers for multiple intents

The user poses multiple questions in a single inquiry, and the chatbot can retrieve multiple matching answers from the FAQ knowledge base. It then utilizes LLM to blend and generate a response that meets the customer’s expectations, effortlessly handling various challenging and complex queries.

Semantic Search

Using Azure OpenAI integrated large language model (LLM) to generate answers by processing uploaded documents and user queries. It helps users answer questions from unstructured text documents without the need to create individual FAQs and train them.

Azure OpenAI directly provides reference answers

Using Azure OpenAI integrated large language model (LLM), users can generate reference answer content by providing only the question, with settings for tone, role, and direction of the response.

Parse voice messages

Upload STT, LINE CALL voice files, or other voice system files to the platform for voice content parsing, and generate key summaries or Q&A based on the parsed content.