AI case study

Faster accessible document conversion

by
Royal National Institute of Blind People
Context

RNIB implemented an AI-powered Mailings solution leveraging Microsoft Azure AI Services to automatically convert hard copy and digital documents into braille, audio, large print, and other accessible formats. The system integrates Azure AI Document Intelligence for extracting complex data from documents, while Azure AI Speech and Neural Voice generate natural, high-quality audio outputs. This streamlined workflow reduces manual corrections and accelerates document processing, enabling nontechnical staff to efficiently review and publish converted content.

Results

Conversion time reduced from up to 2 weeks to 3 hours

Results not reported in the source
ICE score
648
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
9
Confidence
9
Ease
8

19

AI use cases in

Non-profit

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Kenya Red Cross Society

Non-profit
Use case
Expand mental health access
Context

Kenya Red Cross worked with Pathways Technologies to develop an AI-powered mental health chatbot called Chat Care using Azure AI services. The chatbot initiates conversations on mental health, suggests ways to help such as breathing exercises and in-person services, operates in English and Swahili, and is available 24/7. It expands the reach of mental health services without overstretching human counselors and helps overcome stigma.

Models/tools

Qatar Charity

Non-profit
Use case
Fragmented call center systems
Context

Qatar Charity partnered with Netways to implement INNOV8 for Copilot Studio on a unified cloud-based call center platform built on Microsoft Azure and Dynamics 365 Customer Service, consolidating disparate communication channels into one integrated interface. They leveraged low-code tools such as Microsoft Power Apps and Azure Logic Apps alongside AI-driven automation via Microsoft Copilot Studio and Azure AI Services to streamline call handling processes, consolidate data management, and reduce IT maintenance complexity.

British Heart Foundation

Non-profit
Use case
Increased employee productivity
Context

British Heart Foundation, Europe's largest funder of heart and circulatory disease research, is testing Microsoft 365 Copilot with about 300 employees. Staff are using the AI assistant to stay up to date on office communication, craft emails and documents, and search across the nonprofit’s tech platforms. They delegate tasks to Copilot, which helps them save time on routine tasks and focus on their mission.

Models/tools
Explore industries

295

companies using

Employee Agents

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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
Use case
Fast registration & safety
Context

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

Models/tools
...
2
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
Explore agents

226

solutions powered by

Microsoft

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Use case
Multilingual reading difficulties
Context

The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.

Models/tools
...
2
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Models/tools
...
4
Use case
Faster oncology data extraction
Context

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

Models/tools
...
4
Explore AI providers

153

AI use cases in

Europe

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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
Multilingual reading difficulties
Context

The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.

Models/tools
...
2
Use case
Personalized post-click landing
Context

Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.

Models/tools
...
1
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Thoughts & ideas