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Project Description

We recently partnered with a leading food manufacturing company in Wisconsin to revolutionize their internal knowledge management system. Our goal was to enable their employees to efficiently access critical information from extensive internal documents using an AI chatbot integrated with Microsoft Teams and Azure services. Leveraging technologies such as OpenAI Large Language Models and Azure AI Search, we developed a comprehensive solution to streamline information retrieval, boost productivity, and enhance collaboration within their organization.

Challenge

Problem

Our client faced challenges in ensuring all employees could efficiently access critical information from their extensive internal documents at any time. The existing systems were inadequate for providing seamless access and timely information retrieval, leading to delays and reduced productivity. They needed a solution that integrated with their existing tools to streamline knowledge management and ensure accurate, real-time access to essential information.

Project Goals

  • Enable quick and accurate retrieval of critical information.
  • Reduce delays and increase productivity through streamlined information retrieval.
  • Improve collaboration and operational efficiency with a comprehensive system.
  • Utilize OpenAI Large Language Models and Azure AI Search for precise responses.
  • Integrate the solution with Microsoft Teams and Azure services.
  • Ensure 24/7 access to essential information from any location.
  • Implement token limits to manage usage costs effectively.

Challenge

Problem

Our client faced challenges in ensuring all employees could efficiently access critical information from their extensive internal documents at any time. The existing systems were inadequate for providing seamless access and timely information retrieval, leading to delays and reduced productivity. They needed a solution that integrated with their existing tools to streamline knowledge management and ensure accurate, real-time access to essential information.

Project Goals

  • Enable quick and accurate retrieval of critical information.
  • Reduce delays and increase productivity through streamlined information retrieval.
  • Improve collaboration and operational efficiency with a comprehensive system.
  • Utilize OpenAI Large Language Models and Azure AI Search for precise responses.
  • Integrate the solution with Microsoft Teams and Azure services.
  • Ensure 24/7 access to essential information from any location.
  • Implement token limits to manage usage costs effectively.

Solution

In response to our client’s challenges, we developed an AI chatbot system integrated with Microsoft Teams and Azure services. This solution features a Teams app as the user interface, enabling employees to interact directly with the chatbot for information retrieval. Hosted on Azure, the chatbot uses OpenAI Large Language Models and Azure AI Search for accurate and natural responses. Key functionalities include advanced context detection, cost management through token limits, and robust content moderation to prevent misuse.

Key Features

  • Integration with Microsoft Teams as the user interface.
  • Use of OpenAI Large Language Models for natural language processing.
  • Azure AI Search for efficient document retrieval.
  • Context detection to find the most relevant documents.
  • Per-user and company-wide token limits for cost management.
  • Content moderation to prevent misuse.
  • Capability to provide information on a wide range of topics.

Innovations

  • Advanced context detection for accurate responses.
  • Seamless integration with Teams and Azure services.
  • Dynamic knowledge retrieval beyond domain-specific information.
  • Robust content moderation.

High-Level Architecture

Teams Integrated AI Chatbot

Security

The AI chatbot system prioritizes data integrity and security by leveraging the robust tools provided by Azure.

  • Data Integrity: Azure Blob Storage ensures the integrity of stored documents through robust encryption protocols and access controls, safeguarding against unauthorized access or tampering.
  • Azure Security Features: Leveraging Azure’s built-in security features, such as role-based access control and threat detection, protects sensitive information from unauthorized access and malicious activities.
  • Compliance Standards: The system adheres to relevant privacy regulations, including HIPAA and GDPR, by implementing privacy-by-design principles and anonymizing personal information during transmission and storage.

Core Technologies/Technical Stack

  • Microsoft Teams: Serves as the user interface, allowing seamless interaction with the chatbot.
  • Azure Bot Framework: Manages user queries and responses, enabling robust bot functionality.
  • OpenAI Large Language Models: Provides natural language processing capabilities for accurate and context-aware responses.
  • Azure AI Search: Enhances search capabilities, ensuring efficient retrieval of relevant documents.
  • Azure Blob Storage: Ensures secure and scalable storage of documents with robust encryption protocols.
  • Azure Security Features: Includes role-based access control and threat detection to protect sensitive information.

Process

Team

  • AI Software Engineers: Responsible for designing and developing the chatbot system, integrating it with Microsoft Teams and Azure services, and ensuring robust functionality.
  • QA Resources: Conducted rigorous testing to validate the performance, reliability, and accuracy of the chatbot, ensuring it met the highest standards.
  • Project Manager: Oversaw the entire project, coordinated between the client and the development team, and ensured that the project stayed on track and within budget.

General Development

The project followed an Agile development process, with iterative sprints, daily stand-ups, and continuous feedback loops to ensure timely delivery and high-quality outcomes.

Development Challenges

Developing the AI chatbot system presented several challenges. Implementing robust content moderation and preventing hallucinations required extensive planning and testing. Fine-tuning OpenAI Large Language Models for accurate context detection demanded careful calibration. Additionally, balancing performance with effective token management to control costs was critical. Overcoming these challenges was essential to delivering a high-quality, reliable AI chatbot system tailored to the company’s needs.

Testing

Testing was critical to ensuring the bot’s reliability and accuracy. Rigorous methodologies were used to prevent hallucinations and validate response relevance. Systematic analysis ensured the bot’s answers were accurate and coherent, enhancing the overall reliability and trustworthiness of the knowledge retrieval system.

Process

Team

  • AI Software Engineers: Responsible for designing and developing the chatbot system, integrating it with Microsoft Teams and Azure services, and ensuring robust functionality.
  • QA Resources: Conducted rigorous testing to validate the performance, reliability, and accuracy of the chatbot, ensuring it met the highest standards.
  • Project Manager: Oversaw the entire project, coordinated between the client and the development team, and ensured that the project stayed on track and within budget.

General Development

The project followed an Agile development process, with iterative sprints, daily stand-ups, and continuous feedback loops to ensure timely delivery and high-quality outcomes.

Development Challenges

Developing the AI chatbot system presented several challenges. Implementing robust content moderation and preventing hallucinations required extensive planning and testing. Fine-tuning OpenAI Large Language Models for accurate context detection demanded careful calibration. Additionally, balancing performance with effective token management to control costs was critical. Overcoming these challenges was essential to delivering a high-quality, reliable AI chatbot system tailored to the company’s needs.

Testing

Testing was critical to ensuring the bot’s reliability and accuracy. Rigorous methodologies were used to prevent hallucinations and validate response relevance. Systematic analysis ensured the bot’s answers were accurate and coherent, enhancing the overall reliability and trustworthiness of the knowledge retrieval system.

Results

  • The implementation of Xorbix’s knowledge retrieval system significantly increased operational efficiency for our client. Employees experienced reduced time spent on manual searches, improving productivity across departments. The centralized platform enhanced information accessibility and collaboration, fostering a culture of knowledge sharing.
  • Adopting advanced technologies like AI and cloud computing gave the company a competitive edge, positioning it as a leader in the industry. The system not only met immediate needs but also prepared the organization for future technological advancements.
  • In summary, the partnership between Xorbix and the company led to improved efficiency, collaboration, and innovation, highlighting Xorbix’s expertise in delivering cutting-edge IT solutions.

Contact us today to discover how our advanced Artificial Intelligence chatbot solutions can streamline your processes and enhance operational efficiency.

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802 N. Pinyon Ct,
Hartland, WI 53029

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802 N. Pinyon Ct, Hartland, WI 53029

(866) 568 8615

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Contact Us

802 N. Pinyon Ct, Hartland, WI 53029 (866) 568 8615
Facebook-f Twitter Youtube Linkedin