Efficient talent matching
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Braintrust, an AI-powered recruiting platform, uses Anthropic's Claude and Claude 3.5 Sonnet to enhance their talent acquisition process. They integrated Claude into key features like AIR (AI Recruiter), which conducts initial screening interviews, and a job description generator that helps clients create compelling job postings.
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25% increase in job applicants for clients, with 50% of clients using their AI-generated job descriptions. AI-assisted screening and interviews save recruiters significant time, and 100% AI-powered talent screens give results in minutes rather than weeks, saving over $150K to date.
14
AI use cases in
Human Resources
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micro1 uses Anthropic's Claude to conduct AI-powered technical interviews, automating over 3,000 interviews per day. Claude evaluates technical skills through dynamic conversations, providing consistent, unbiased assessments and creating anxiety-free interview experiences.
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Gojob developed Aglae, a virtual assistant powered by Azure OpenAI Service to automate candidate engagement and prequalification via text messaging. They implemented a system that leverages large language models and customized prompts to search a database of 2 million profiles and conduct natural language conversations, while personalizing the assistant for each recruiter. This integration streamlined the recruitment workflow by reducing screening time and allowing recruiters to focus on high-value interactions.
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Skillfully, a public benefit corporation dedicated to creating a more meritocratic job market, uses Anthropic's Claude to power AI-driven job simulations that let candidates demonstrate their actual skills in realistic workplace scenarios. By leveraging Claude without complex fine-tuning, Skillfully generates a large volume of AI-powered job simulations weekly, transforming traditional hiring practices.
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321
companies using
Employee Agents
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Cox Automotive integrated Claude via Amazon Bedrock into its portfolio by first creating a sandbox environment to evaluate performance metrics and then selecting Claude 3.5 Sonnet for complex tasks and Claude 3.5 Haiku for high-volume content generation. They automated personalized dealer-consumer communications, generated engaging vehicle listing descriptions, and produced SEO-optimized blog posts, while also streamlining internal data governance through automated metadata generation. This integration optimized operational efficiency across marketing and internal data processes.
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Quillit integrated Anthropic’s Claude to automate qualitative research tasks by summarizing interview transcripts, generating contextual citations, and threading conversation data into comprehensive reports. They implemented the AI tool into their existing research workflow within three months, streamlining report writing, transcription, and analysis while ensuring data security and high precision.
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TCS partnered with Google Cloud to integrate advanced AI and generative AI capabilities into retail service offerings. They launched the Google Cloud Gemini Experience Center at their Retail Innovation Lab in Chennai, enabling retail clients to ideate, prototype, and co-develop tailored AI solutions that optimize supply chain, warehouse receiving, customer insights, and content creation. This approach automated processes using tools like Vertex AI Vision for warehouse receiving and leveraged Vertex AI with Gemini 1.5 Pro and speech-to-text to transform service centers.
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104
solutions powered by
Anthropic
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Cox Automotive integrated Claude via Amazon Bedrock into its portfolio by first creating a sandbox environment to evaluate performance metrics and then selecting Claude 3.5 Sonnet for complex tasks and Claude 3.5 Haiku for high-volume content generation. They automated personalized dealer-consumer communications, generated engaging vehicle listing descriptions, and produced SEO-optimized blog posts, while also streamlining internal data governance through automated metadata generation. This integration optimized operational efficiency across marketing and internal data processes.
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Quillit integrated Anthropic’s Claude to automate qualitative research tasks by summarizing interview transcripts, generating contextual citations, and threading conversation data into comprehensive reports. They implemented the AI tool into their existing research workflow within three months, streamlining report writing, transcription, and analysis while ensuring data security and high precision.
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Block implemented Anthropic’s Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) on its Databricks platform to power its internal AI agent, codename goose. They integrated the LLM using secure OAuth-enabled connections and a custom MCP server to connect internal databases and tools, enabling employees across all roles to auto-generate SQL queries, analyze complex data, and automate workflows. This agentic integration streamlined software development, design prototyping, and data analysis by translating user intents into actionable insights.
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284
AI use cases in
North America
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Cox Automotive integrated Claude via Amazon Bedrock into its portfolio by first creating a sandbox environment to evaluate performance metrics and then selecting Claude 3.5 Sonnet for complex tasks and Claude 3.5 Haiku for high-volume content generation. They automated personalized dealer-consumer communications, generated engaging vehicle listing descriptions, and produced SEO-optimized blog posts, while also streamlining internal data governance through automated metadata generation. This integration optimized operational efficiency across marketing and internal data processes.
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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.
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Block implemented Anthropic’s Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) on its Databricks platform to power its internal AI agent, codename goose. They integrated the LLM using secure OAuth-enabled connections and a custom MCP server to connect internal databases and tools, enabling employees across all roles to auto-generate SQL queries, analyze complex data, and automate workflows. This agentic integration streamlined software development, design prototyping, and data analysis by translating user intents into actionable insights.
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