AI case study

Accessible cultural heritage

by
La Basilica di San Pietro
Context

Iconem captured over 400,000 high-resolution images using advanced photogrammetry techniques (drones, cameras, lasers) over a three-week period, which were processed by Microsoft’s AI for Good Lab on Azure to create an ultra-precise digital twin of St. Peter’s Basilica. The AI-driven model was refined with millimeter-level accuracy to detect structural vulnerabilities and enhance both interior and exterior visualizations, thereby supporting immersive, interactive exhibits and online cultural access.

Results

Exhibition accessible to 35M pilgrims; digital reach to over 1B viewers

Results not reported in the source
Region
Europe
Published
November 15, 2024
Agent type
Customer Agents
AI provider
Microsoft
Models/tools
Not disclosed
ICE score
567
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
7

21

AI use cases in

Travel and Hospitality

See All

Booking.com

Travel and Hospitality
Use case
Unlocking travel discovery
Context

Booking.com integrated OpenAI’s GPT models with its extensive proprietary data on properties, pricing, and availability to develop an AI Trip Planner that converts natural language queries into personalized itineraries. The team rapidly built the solution in 10 weeks by leveraging existing ML infrastructure and fine-tuning the model on both structured and unstructured data, which also powered additional tools like Smart Filters, Property Q&A, and AI Review Summaries. This innovation transformed travel discovery, search, and customer support processes.

Models/tools

Mystifly

Travel and Hospitality
Use case
Efficient customer onboarding
Context

Mystifly partnered with Google Cloud to develop Mystic, an AI-powered chatbot that leverages Vertex AI Agent Builder to understand complex airline industry queries. They implemented an internal system by indexing PDFs stored in Google Cloud Storage into an unstructured datastore for quick retrieval and integrated Dialogflow CX with Cloud Functions for seamless escalation. This solution automated customer onboarding and support workflows for their SSP Manager platform by enabling travel agents to resolve configuration questions independently.

Holland America Line

Travel and Hospitality
Use case
Faster personalized customer support
Context

Holland America Line developed a virtual agent called "Anna" using Microsoft Copilot Studio, which acts as a digital concierge on their website to support customers and travel advisors in booking cruises, managing existing bookings, and answering general questions.

Explore industries

172

companies using

Customer Agents

See All
Use case
Secure on-premises AI
Context

NVIDIA partnered with Google Cloud to enable on-premises agentic AI by integrating Google Gemini models with NVIDIA Blackwell platforms and Confidential Computing, ensuring data sovereignty and regulatory compliance for sensitive enterprise operations. The solution further optimizes AI inference and observability by deploying a GKE Inference Gateway alongside NVIDIA Triton Inference Server, NVIDIA NeMo Guardrails, and NVIDIA Dynamo to enhance secure routing and load balancing for enterprise workloads.

Models/tools
...
7
Use case
Faster tax form processing
Context

Intuit integrated Google Cloud’s Document AI and Gemini models into its GenOS platform to automate the autofill of ten common U.S. tax forms, including complex 1099 and 1040 forms. The solution extracts and categorizes data from uploaded documents, drastically reducing manual data entry for TurboTax customers. This integration streamlines tax preparation workflows and improves speed and accuracy.

Models/tools
...
2
Use case
Optimized CX workflows
Context

Capgemini partnered with Google Cloud to develop industry-specific agentic AI solutions that automate customer request handling across multiple channels such as web, social, and phone. The implementation integrates Google Agentspace, Customer Engagement Suite, and Agent2Agent interoperability protocol into existing customer service infrastructures to enhance personalized support, call routing, and workflow automation. This advanced solution transforms customer experience by streamlining communications and enabling proactive engagement.

Models/tools
...
3
Explore agents

251

solutions powered by

Microsoft

See All
Use case
High-volume student queries
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.

Models/tools
...
1
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
Explore AI providers

159

AI use cases in

Europe

See All
Use case
Faster research reports
Context

Deutsche Bank developed DB Lumina, an AI-powered research agent built on Gemini and Vertex AI through a partnership with Google Cloud. The solution automates the creation of financial research reports by rapidly condensing extensive market data—such as converting a 400-page report into a three-page summary—thereby streamlining analysis workflows while maintaining rigorous data privacy standards.

Models/tools
...
2
Use case
Optimized CX workflows
Context

Capgemini partnered with Google Cloud to develop industry-specific agentic AI solutions that automate customer request handling across multiple channels such as web, social, and phone. The implementation integrates Google Agentspace, Customer Engagement Suite, and Agent2Agent interoperability protocol into existing customer service infrastructures to enhance personalized support, call routing, and workflow automation. This advanced solution transforms customer experience by streamlining communications and enabling proactive engagement.

Models/tools
...
3
Use case
Scalable contract detection
Context

wealthAPI implemented a next‐gen contract detection solution by integrating DataStax Astra DB on Google Cloud and leveraging Google Gemini models for AI‐powered analysis. They deployed DataStax’s vector search and real‐time insights capabilities to scale contract detection across millions of users in less than three months, streamlining wealth management workflows by dramatically reducing response times and efficiently handling massive data volumes.

Models/tools
...
1
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Thoughts & ideas