Explore how companies use AI {agent type}






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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.
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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.
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Hebbia built Matrix, a multi-agent AI platform that orchestrates OpenAI models including o3‑mini, o1, and GPT‑4o to automate complex financial and legal research tasks. The platform decomposes intricate queries into structured analytical steps and integrates modules like OCR, hallucination validation, and artifact generation to process complete documents, creating an infinite effective context window. This solution streamlines due diligence, contract review, and market research workflows, drastically reducing manual processing time.

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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.
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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.
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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.
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Praxis AI integrated Anthropic's Claude 3.5 Sonnet via Amazon Bedrock to create AI-powered digital twins of professors that serve as virtual teaching assistants. They implemented this by switching from GPT-4 to Claude using an LLM switcher and deploying the solution on a secure, scalable AWS infrastructure that supports multi-agent workflows and real-time conversational features. This approach enhanced round-the-clock personalized student engagement and alleviated faculty workload.
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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.

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SK Telecom integrated Anthropic's Claude on the Amazon Bedrock platform to power both in-call assist and post-call processing solutions. They implemented a custom in-house RAG model combined with real-time document search and automated summarization, classification, and sentiment analysis to augment call center operations and support culturally nuanced customer interactions.
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Endex built an AI Analyst platform that leverages OpenAI's reasoning models (GPT‑4o, o1‑mini, o1‑preview, o3‑mini, and o1 vision) to retrieve, analyze, and synthesize complex financial data. The solution integrates internal data, public disclosures, and financial reports to automate processes such as due diligence, earnings analysis, and investment committee memo preparation using reinforcement learning fine-tuning and performance tracking, transforming traditional manual workflows into streamlined AI-driven processes.

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Mercari integrated OpenAI’s API with a multi-model approach to optimize product listings. Initially, GPT‑4 analyzed top listings offline while GPT‑3.5 Turbo provided real-time suggestions for active listings. Later, they shifted to GPT‑4o mini to automatically generate complete titles, descriptions, and category suggestions from uploaded photos, streamlining the seller listing workflow.
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Amazon integrated Anthropic’s Claude models in Alexa+ to power its digital assistant, enhancing conversational reliability and advanced jailbreaking resistance. The integration was implemented via Amazon Bedrock with a close collaboration between Amazon and Anthropic teams. This deployment improved the core business process of delivering secure and trustworthy AI-driven interactions to consumers and businesses.
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The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.
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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.
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Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.
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ASOS integrated Azure OpenAI Service and Azure AI prompt flow to build an AI-powered natural language interface on its website and mobile app for personalized product recommendations. They implemented the solution by connecting their existing microservices with these AI tools, streamlining rapid prototyping and integrating external trend data along with internal expertise to curate tailored selections that enhance customer engagement. The solution seamlessly integrates into ASOS’s digital processes.
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DrumBeat.ai developed an AI-driven diagnostic tool integrated with an ear camera that analyzes digital images of patients’ ears to provide instant identification of abnormalities such as perforated eardrums and signs of chronic otitis media. The system was implemented by training the model on over 10,000 images from 4,000 children across 100 indigenous communities, enabling non-specialists in remote areas to perform assessments and facilitate timely referrals.
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Kodif, a customer support automation platform, uses Anthropic's Claude via Amazon Bedrock to automate up to 90% of support tickets for clients. By integrating Claude 3.5 Sonnet, Kodif powers AI agents that handle complex workflows like refunds and cancellations, enhancing support efficiency and transforming customer support into a revenue source.
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Wited revamped its learning platform by partnering with Google Cloud and Axmos Technologies to migrate from legacy systems to a robust infrastructure using Cloud SQL, Cloud Storage, Compute Engine, and Google Kubernetes Engine, ensuring reliable scalability and stability for high user demand. They then integrated generative AI by deploying Gemini and Vertex AI to power Max AI—a 24/7 virtual assistant that supports students through real-time assistance and educational guidance—thereby streamlining support processes and enabling the team to focus on innovation.

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Esri integrated its ArcGIS platform with Microsoft Azure’s AI capabilities and NVIDIA GPU-accelerated computing to rapidly convert a massive dataset of geospatial images into a high-resolution 3D digital twin. The solution leveraged 200 GPU cloud nodes to perform reality mapping and flood simulation, drastically streamlining urban planning and emergency response workflows.
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Assembled, a support operations platform, uses Anthropic's Claude models to power Assist, their AI agent and copilot, enhancing customer support by integrating AI and human efforts. They employ Claude for dynamic ticket categorization, intelligent routing between AI and human agents, real-time response generation, and analyzing issues to automatically route cases to the optimal handler—whether AI agent or human with specific expertise.
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Built an AI-powered knowledge base on Azure leveraging AI search and the generative AI tool Ask Eddy to streamline online documentation and service delivery.
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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.
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Universitas Terbuka implemented an AI tutor by integrating Azure OpenAI Service and Azure AI Foundry within its customized Moodle LMS. The solution involved indexing course materials and grading rubrics using Azure AI Document Intelligence, employing Azure AI Vision for OCR-based assessments, and deploying through a scalable microservices architecture using AKS and Azure App Service. This integration streamlined student assessments and reduced educator workload by automating repetitive queries.
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Zapia, an AI assistant developed by BrainLogic, uses Anthropic's Claude on Google Cloud’s Vertex AI to engage in natural, localized conversations with Latin American consumers via messaging apps like WhatsApp. Claude's advanced multilingual support and understanding of regional dialects enable Zapia to assist users in discovering products, making purchases, and receiving support. Integration was quick, requiring minimal prompt engineering, allowing Zapia to scale rapidly to handle hundreds of thousands of messages per hour.

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Zalando worked with OpenAI to develop the Zalando Assistant, an AI-powered tool powered by GPT-4o mini that provides personalized content recommendations and streamlines product discovery across 25 markets in over 20 languages. They enhanced their evaluation framework with component-specific evaluations and improved few-shot prompting, and migrated from GPT-3.5 to GPT-4o mini for better multilingual and instruction-following capabilities.
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Properstar integrated Microsoft Azure OpenAI Service to analyze unstructured property descriptions and extract important property features, enabling enriched data for listings. They combined this with Azure AI Search to build a dynamic filtering system that differentiates between mandatory and optional criteria, streamlining the property search process across global markets. The solution further supports robust market analysis and scalability.
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Petbarn developed and integrated PetAI, a generative AI-powered intelligent assistant using Azure OpenAI Service, Azure AI Search, and Azure App Service. They implemented the solution through virtual discovery sessions and design workshops, followed by iterative development of a multi-agent retrieval augmented generation model to deliver highly personalized pet care advice and product recommendations. The system was deployed on both their website and mobile app, streamlining customer interactions and enhancing pet care guidance.
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Kenya Red Cross worked with Pathways Technologies to develop an AI-powered mental health chatbot called Chat Care using Azure AI services. The chatbot initiates conversations on mental health, suggests ways to help such as breathing exercises and in-person services, operates in English and Swahili, and is available 24/7. It expands the reach of mental health services without overstretching human counselors and helps overcome stigma.
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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.
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