AI case study

Improving operational metric tracking

by
180 Seguros
Context

180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery.

Results

Improved operational metric tracking with 3X faster query times.

Results not reported in the source
Industry
Insurance
Published
September 24, 2024
Agent type
Data Agents
AI provider
Google
Models/tools
Not disclosed
ICE score
336
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
6
Confidence
8
Ease
7

10

AI use cases in

Insurance

See All

legal-i

Insurance
Data Agents
Quick win
Use case
Faster unstructured data processing
Context

Developed a GenAI solution leveraging Azure OpenAI Service to analyze, classify and structure unstructured medical records into interactive patient histories and a case DNA for improved decision support.

Models/tools

Newfront

Insurance
Use case
Making insurance processes faster
Context

Newfront, a modern insurance platform serving 20% of US startups with unicorn status, uses Claude from Anthropic to automate tedious insurance tasks. They have deployed Claude across their workflows to create a benefits assistant that provides employees with instant answers about coverage limits and eligible expenses, a contract review tool for legal teams, and automated processing of complex insurance documents, allowing brokers to focus on strategic guidance and problem-solving for clients.

Models/tools
...
1

SACE

Insurance
Use case
Freeing employee time
Context

SACE, an Italian finance and insurance firm, uses Microsoft Copilot and Viva to streamline workflows and empower employees. Copilot reduces routine tasks like document sifting and email management, halving time spent on emails and speeding up loan application reviews. Viva supports Copilot adoption, helping reveal collaboration patterns and enabling initiatives like a flexible workweek.

Models/tools
Explore industries

149

companies using

Data Agents

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Use case
Automated job title classification
Context

Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.

Models/tools
...
2
Use case
Efficient engineering team management
Context

LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.

Models/tools
...
2
Use case
Faster data insights
Context

Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.

Models/tools
...
2
Explore agents

255

solutions powered by

Google

See All
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
AI integration on mobile
Context

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

Models/tools
...
4
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
Explore AI providers

40

AI use cases in

South America

See All
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
Scalable customer support
Context

Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.

Models/tools
...
3
Use case
Automated digital marketing
Context

Advolve, a B2B SaaS company, uses Claude from Anthropic as the central orchestrator of their AI platform to automate digital marketing across multiple platforms. Claude enables them to manage millions of ads simultaneously, automate workflows, generate creative assets and copywriting, and dynamically allocate budgets for optimal return on ad spend.

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