AI case study

High-volume student queries

by
Physics Wallah
Context

Physics Wallah developed 'Gyan Guru', a hyperpersonalized conversational study companion to address the unique academic and support needs of its 2 million daily users. The system was implemented by indexing over one million Q&As and ten million solved doubts in a vector database, then leveraging a Retrieval-Augmented Generation (RAG) approach integrated with Azure OpenAI to deliver individualized, context-aware responses. This integration streamlined various student interactions including academic queries, product-related issues, and general support, reducing reliance on human subject matter experts.

Results
Results not reported in the source
Industry
Education
Region
Asia
Published
March 10, 2025
Agent type
Customer Agents
AI provider
Microsoft
Models/tools
Not disclosed
ICE score
343
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
7
Confidence
7
Ease
7

46

AI use cases in

Education

See All

Rising Academies

Education
Use case
Accessible mobile tutoring
Context

Rising Academies integrated Claude-powered chatbots into mobile educational tools via WhatsApp to provide both a virtual math tutor (Rori) and a teacher support system (Tari). Rori delivers personalized math lessons through a mix of pre-written lesson plans and dynamic conversations, while Tari offers on-demand curriculum and lesson planning support for teachers. These solutions enhanced personalized learning and professional development in regions with limited access to traditional edtech.

Models/tools
...
1

Pensieve

Education
Use case
Personalized student support
Context

Pensieve integrated Anthropic's Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) to build AI teaching assistants that automate grading and provide 24/7 personalized tutoring. The system clusters student submissions to calibrate grading rubrics and transforms static PDFs into interactive worksheets while enforcing instructor-controlled policies. This integration streamlines course management workflows and enhances real‐time classroom analytics.

Super Teacher

Education
Use case
Building learning tools and making content
Context

Super Teacher integrated Anthropic's Claude to generate initial code for interactive educational tools and draft lesson plans for subjects ranging from pre-K to 5th grade. They embedded the AI into both software development and content creation workflows with mandatory human review to ensure safety and quality standards. This integration streamlined operational processes, enabling engineering and content teams to focus on higher-level development and creative enhancements.

Models/tools
...
1
Explore industries

168

companies using

Customer Agents

See All
Use case
Accessible mobile tutoring
Context

Rising Academies integrated Claude-powered chatbots into mobile educational tools via WhatsApp to provide both a virtual math tutor (Rori) and a teacher support system (Tari). Rori delivers personalized math lessons through a mix of pre-written lesson plans and dynamic conversations, while Tari offers on-demand curriculum and lesson planning support for teachers. These solutions enhanced personalized learning and professional development in regions with limited access to traditional edtech.

Models/tools
...
1
Use case
Automated customer support
Context

Tidio integrated Anthropic’s Claude model to develop their Lyro AI agent, automating customer support interactions across both live chat and email channels. They implemented a network of specialized AI agents for conversation rating, summarization, and a dynamic routing system that selects the optimal API between native Anthropic API and Google Cloud Vertex AI based on performance metrics, streamlining support workflows and enabling personalized product recommendations.

Models/tools
...
2
Use case
Rigid support workflows
Context

Zendesk integrated OpenAI's models to create adaptive AI service agents that autonomously manage customer conversations and execute resolution tasks. They implemented a multi-agent architecture featuring task identification, conversational RAG, procedure compilation, and procedure execution agents integrated with existing support workflows through API calls and natural language procedure definitions, while providing real-time chain-of-thought visibility. This solution transitions from traditional intent-based bots to a hybrid model of scripted and generative reasoning, streamlining customer service processes.

Models/tools
...
2
Explore agents

251

solutions powered by

Microsoft

See All
Use case
Streamlined executive operations
Context

Brandix adopted the Microsoft 365 Copilot suite via the Early Access Program to integrate AI into key executive workflows, automating meeting transcript-based action tracking in Teams, accelerating pitch deck creation in PowerPoint, and streamlining document generation in Word while leveraging AI-enhanced querying in Power BI and efficient information retrieval via Copilot Chat. This implementation transformed internal communications, reporting, and presentation preparation processes by significantly reducing manual effort.

Models/tools
...
2
Use case
Future-proof IT operations
Context

University of Oxford’s IT Services department deployed Microsoft 365 Copilot across its 400+ staff as part of a pilot program aimed at embedding generative AI into research, teaching, and administrative workflows. They implemented extensive onboarding sessions, community engagement via Microsoft Teams, and established an acceleration team to integrate Copilot with other business applications. This deployment streamlined routine tasks such as document generation, summarization, and meeting support, fostering innovation within the department.

Models/tools
...
1
Use case
Streamlined workflow management
Context

Wipro integrated Microsoft 365 Copilot to enable natural language commands and real-time suggestions across Microsoft applications, automating document management and proposal creation. They also deployed GitHub Copilot for developers and utilized Azure OpenAI to drive generative AI transformation across the enterprise, integrating these tools into existing business workflows. This comprehensive implementation improved internal collaboration and expedited processes for presales, sales, marketing, and development teams.

Models/tools
...
3
Explore AI providers

59

AI use cases in

Asia

See All
Use case
Efficient data handling
Context

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

Models/tools
...
2
Use case
Streamlined workflow management
Context

Wipro integrated Microsoft 365 Copilot to enable natural language commands and real-time suggestions across Microsoft applications, automating document management and proposal creation. They also deployed GitHub Copilot for developers and utilized Azure OpenAI to drive generative AI transformation across the enterprise, integrating these tools into existing business workflows. This comprehensive implementation improved internal collaboration and expedited processes for presales, sales, marketing, and development teams.

Models/tools
...
3
Use case
Efficient service coordination
Context

Urban Company leveraged generative AI to revolutionize its home services by automating customer support and quality assurance processes. They implemented AI-powered empathetic chatbots, automated photo-based quality checks, and smart decisioning flows using Azure OpenAI services to streamline scheduling and support a distributed workforce. This integration improved operational workflows and enhanced customer interactions across its service platform.

Models/tools
...
1
Explore regions
Thoughts & ideas