AI use case

Automating customer support responses

by
Qonto
Context

Qonto, a leading European business finance solution, integrated Mistral Large to automate responses to low-support customer requests. Handling over 30,000 chats per month, this significantly improved the efficiency and accuracy of customer support and fraud detection systems, enhancing quality of service and customer satisfaction.

Results

Handled over 30,000 chats per month; improved efficiency and accuracy of customer support and fraud detection systems.

Results not reported in the source
Industry
Finance
Region
Europe
Published
November 1, 2023
Agent type
Customer Agents
AI provider
Mistral
Models/tools
Not disclosed
ICE score
360
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
8
Ease
5

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Context

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Context

BBVA, a global financial institution, widely adopted ChatGPT Enterprise, creating over 2,900 custom GPTs within five months. By integrating ChatGPT into various departments, BBVA empowered its 125,000 employees to develop tailored AI solutions that enhance efficiency, spark creativity, and streamline workflows. This democratized AI access enabled rapid prototyping, reduced project timelines from weeks to hours, and facilitated the sharing of expert knowledge across the organization.

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107

companies using

Customer Agents

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Use case
Support scaling
Context

Intercom, a leading customer service platform, integrated Claude from Anthropic into their AI agent Fin to automatically resolve up to 86% of customer support queries with human-quality, personalized responses in over 45 languages. This implementation reduces response times from 30 minutes to seconds and enables human agents to focus on more complex issues.

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Context

StudyFetch built a comprehensive learning platform powered by Claude, providing personalized learning experiences through their AI tutor Spark.E. The platform analyzes lectures, generates study materials, and offers 24/7 tutoring support in over 20 languages, enabling students to master complex subjects with tailored, interactive assistance.

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Automate customer interactions
Context

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19

solutions powered by

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Unlocking data insights
Context

BigDataCorp, a data analytics and consulting firm from Brazil, uses Mistral AI models hosted on AWS Bedrock to enable client businesses to dive deeper into their data using natural language.

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1
Use case
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Context

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Context

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54

AI use cases in

Europe

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Use case
Managing tourist congestion
Context

The City of Rome is implementing a GPT-4-powered virtual assistant called Julia via Microsoft Azure OpenAI Service. It guides visitors away from crowded tourist hotspots by providing personalized recommendations for lesser-known sites, leveraging a city-curated dataset to offer trustworthy and diverse travel experiences.

Models/tools
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1
Use case
Improving document accessibility
Context

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Models/tools
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2
Use case
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Context

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