AI case study

Faster safety audits

by
AES
Context

AES deployed generative AI agents built on Vertex AI and Anthropic’s Claude models to overhaul its health and safety audit processes. They connected Claude via API calls within the Vertex AI environment, addressing security through configured service accounts and leveraging Vertex AI Model Garden for simplified deployment. This automation streamlined document reviews for large, multilingual audit files, significantly reducing manual labor.

Results

99% cost reduction; 14 days to 1 hour processing; doubled audit capacity; 10-20% improved accuracy

Results not reported in the source
Published
January 10, 2025
Agent type
Security Agents
AI provider
Anthropic
Models/tools
Not disclosed
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

17

AI use cases in

Energy & Sustainability

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Emirates Global Aluminium

Energy & Sustainability
Data Agents
Quick win
Use case
Scalable hybrid computing
Context

Implemented a hybrid cloud architecture by moving one-third of its servers to Azure public cloud and another third to Azure Local for edge capabilities, managed via Azure Arc to seamlessly integrate on-premises and cloud environments for advanced industrial AI use cases.

AES

Energy & Sustainability
Data Agents
Quick win
Use case
Scaling renewable energy asset management
Context

AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.

Models/tools

Copel

Energy & Sustainability
Data Agents
Quick win
Use case
Unified data access
Context

Copel integrated Gemini Pro 1.5 to power a virtual agent that directly interfaces with their on-premises SAP ERP system using Google Cloud’s Cortex Framework along with Vertex AI, BigQuery, Dataplex, and Open Data QnA. The agent processes natural language queries from employees to deliver real-time insights, replacing manual data extraction and processing workflows. This integration improved data democratization and significantly accelerated decision-making across the enterprise.

Explore industries

24

companies using

Security Agents

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Use case
Simplified security operations
Context

Integrated Microsoft 365 E5 platform with Microsoft Security Copilot to automate and centralize incident response, authentication, and security monitoring across multiple digital tools.

Models/tools
...
1
Use case
Simplify complex security data
Context

Stairwell uses Anthropic's Claude to analyze and summarize complex security data, helping protect companies from sophisticated cybersecurity threats. Claude's large context window allows Stairwell to process security data with over 40,000 characters and its ability to understand technical data without extensive prompt engineering enables Stairwell to convert technical security findings into clear, actionable insights for security teams of all experience levels.

Models/tools
...
1
Use case
Secure AI innovations
Context

Mia Labs built its conversational AI assistant, Mia, on Microsoft Azure using Azure OpenAI Service and secured its AI workloads with Microsoft Defender for Cloud. They implemented advanced threat intelligence through contextual security posture management and runtime alerts, enabling quick detection and mitigation of jailbreak attempts while protecting sensitive dealership interactions. This integration streamlined security processes and eliminated the need for costly IT audits.

Models/tools
...
2
Explore agents

97

solutions powered by

Anthropic

See All
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
Instant personalized support
Context

Chatbase integrated Anthropic's Claude into its multi-channel customer support platform to automate routine inquiries and deliver instant, personalized support across web chat, WhatsApp, Slack, and Instagram. They implemented the solution by embedding AI agents through APIs that integrate with business systems such as Stripe for order status checks and refund processing, while enabling customizable brand voice and multilingual communication with optional human oversight. This approach streamlined customer service workflows and provided advanced analytics to help teams quickly identify trends and optimize interactions.

Models/tools
...
1
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.

Models/tools
...
2
Explore AI providers

279

AI use cases in

North America

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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
Use case
Instant personalized support
Context

Chatbase integrated Anthropic's Claude into its multi-channel customer support platform to automate routine inquiries and deliver instant, personalized support across web chat, WhatsApp, Slack, and Instagram. They implemented the solution by embedding AI agents through APIs that integrate with business systems such as Stripe for order status checks and refund processing, while enabling customizable brand voice and multilingual communication with optional human oversight. This approach streamlined customer service workflows and provided advanced analytics to help teams quickly identify trends and optimize interactions.

Models/tools
...
1
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.

Models/tools
...
2
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Thoughts & ideas