CASE STUDY 1

Revolutionizing Incident Management 
with AI-Driven Chatbot

Client

A forward-thinking technology consultancy firm dedicated to delivering innovative solutions that empower businesses.

Need

The client needed to develop an MSTeams-based chatbot solution designed to streamline incident and service ticket management for organizations. Manual ticket creation and assignment were not only time-consuming but also prone to errors.

Solution

NLP Algorithms:

Leveraged state-of-the-art natural language processing (NLP) algorithms to analyze the content of ongoing conversations. When the chatbot detected an incident or service request discussion, it automatically generated draft emails.

Draft Emails:

The chatbot structured these draft emails with predefined fields, capturing relevant incident details such as description, category, and urgency.

Machine Learning Model:

Integrated an advanced machine learning model into the chatbot to assign priority levels to incident drafts. The model considered factors such as keywords, context, and historical data to make informed priority decisions.

Power Automate:

Seamlessly connected with the ServiceNow ticketing system to create incident or service tickets.

Webhooks:

Utilized webhooks to send notifications and updates back to the corresponding Microsoft Teams channel.

Result

  • Efficient Information Retrieval
  • Enhanced Productivity
  • Compliance and Accuracy

Key Services

  • Gen AI Solution Development
  • Model Training

Technologies

  • Natural Language Processing (NLP)
  • AI and Machine Learning
  • MS Teams, Power Automate, Webhooks
  • ServiceNow, OpenAI

CASE STUDY 2

Custom Search Solution for Chemical Properties Leveraging Prompt Engineering and OpenAI’s Capabilities

Client

A leading global pharmaceutical company pioneering pharmaceutical innovation for a healthier world through cutting-edge research and development.

Need

The client required a solution to access comprehensive chemical information for research and development purposes. Traditional methods of data extraction and compilation were not only time-consuming but also prone to errors, hindering the pace of innovation and product development.

Solution

Custom Search Engine:

Leveraged Azure OpenAI and Bing Search APIs to develop a custom search solution that revolutionized the way chemical information is accessed and utilized. A specialized search engine was created that allowed users to input either the chemical name or chemical formula as a single query.

Advanced Natural Language Prompts:

Designed prompts to extract relevant chemical data, enabling precise and comprehensive data retrieval from various sources.

OpenAI’s Language Model:

Utilized to access a vast array of sources, swiftly extracting over 100 properties and features of the chemical in question.

Data Compilation:

The extracted data was seamlessly compiled into a professionally formatted PDF document, providing users with a well-structured report of the chemical’s properties.

Result

  • Rapid Information Retrieval
  • Error Reduction
  • Efficiency Gains
    Streamlined research and development activities, allowing the client to expedite product innovation.

Key Services

  • Gen AI Solution Development
  • Model Training

Technologies

  • AI and Machine Learning
  • Azure OpenAI/Bing Search API
  • Python, REST API

CASE STUDY 3

Transforming Data Interactions with NLP and Gen AI for Disparate Data Sources

Client

A prestigious professional organization dedicated to advancing architecture and design excellence.

Need

The client needed a solution to transform data interactions within the organization. With data scattered across flat files, databases, and online content, traditional data access methods required complex queries and manual parsing, leading to productivity bottlenecks.

Solution

Natural Language Conversations:

Enabled users to have natural language conversations with their data, eliminating the need for complex queries.

Seamless Data Connection:

Connected flat files, databases, and online content seamlessly, simplifying data access.

Intelligent Question-Answering:

Integrated an intelligent question-answering feature, allowing nuanced responses based on user queries.

Unified Knowledge Base:

Harnessed data from PDFs, SQL/NoSQL databases, and websites, creating a unified knowledge base.

Vector Databases:

Leveraged vector databases such as Pinecone, FAISS, and Chroma for building the services.

Real-Time Conversations:

Facilitated real-time contextual conversations with data, providing valuable insights and information.

Result

  • Operational Efficiency
  • Improved User Experience
  • Robust Knowledge Base
    Employees across the organization could engage in natural language conversations with data, accelerating insights and analysis.

Key Services

  • Gen AI Solution Development
  • Model Training
  • Vector Search

Technologies

  • Natural Language Processing (NLP)
  • AI and Machine Learning
  • Vector Search
  • SQL/NoSQL

CASE STUDY 4

Automating Ticketing System with Power Automate and OpenAI Using a Chatbot on MS Teams

Client

Developed the solution for our innovation partner to automate incident and service tickets over 
MS Teams.

Need

The client required a new chatbot in the MS Teams application to automate incident and service ticket generation and assign priority to the requests in the ServiceNow application.

Solution

Ticketing Bot Flow:

Designed to monitor the chats in the Microsoft Teams General channel. Based on the conversations, it would initiate a Power Automate flow for ticket creation for two types of tickets.

Central Service Desk Integration:

The Ticketing bot sends the details to the Central Service Desk, which in turn calls the NLP model (via Rest API).

NLP Model Predictions:

The NLP model uses OpenAI to fetch predictions and generate an automated email including the priority of the ticket.

ServiceNow Integration:

Users can send the details to ServiceNow via the same chat and receive the ticket details on the Teams channel.

Result

  • Easy Ticket Logging and Acknowledgement:
  • Streamlined ticket logging and acknowledgement via MS Teams.

Technologies

  • OpenAI
  • NLP
  • MS Power Automate
  • MS Teams
  • Chatbot
  • Rest API