Simplifying home security setup
%201%20(1).png)
ADT is building a customer agent to help its millions of customers select, order, and set up their home security.
.png)
11
AI use cases in
Security
.png)

%201%20(1).png)
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.
%20(1).png)

%201%20(1).png)
Palo Alto Networks, a leading cybersecurity company, uses Claude 3.5 Haiku and Claude 3.5 Sonnet on Google Cloud's Vertex AI to enhance developer productivity while maintaining security standards. They employ Claude models for specific development tasks, such as real-time code completion and IDE code chat for complex tasks like architectural explanations and complex code generation. This implementation helps both new and experienced developers to work more efficiently and securely.
%20(1).png)

%201%20(1).png)
Flashpoint uses Gemini for Google Workspace to improve efficiency and productivity across its workforce, allowing employees to focus on the work that counts. They incorporate generative AI into workflows to enhance communication, ideation, research, and coding.
%20(1).png)
168
companies using
Customer Agents
.png)

%201%20(1).png)
Rising Academies integrated Claude-powered chatbots into mobile educational tools via WhatsApp to provide both a virtual math tutor (Rori) and a teacher support system (Tari). Rori delivers personalized math lessons through a mix of pre-written lesson plans and dynamic conversations, while Tari offers on-demand curriculum and lesson planning support for teachers. These solutions enhanced personalized learning and professional development in regions with limited access to traditional edtech.
%20(1).png)

%201%20(1).png)
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.
%20(1).png)

%201%20(1).png)
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.
%20(1).png)
255
solutions powered by
.png)

%201%20(1).png)
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.
%20(1).png)

%201%20(1).png)
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.
%20(1).png)

%201%20(1).png)
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.
%20(1).png)
279
AI use cases in
North America
.png)

%201%20(1).png)
Notion reimagined its platform by deeply integrating OpenAI’s GPT‑4o, GPT‑4o mini, and embeddings across its core features. They prototyped an AI writing assistant during a hackathon and then built internal tools to rapidly evaluate and deploy new models, transforming workflows in search, note-taking, and knowledge management from static content to interactive, actionable insights.
%20(1).png)

%201%20(1).png)
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.
%20(1).png)

%201%20(1).png)
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.
%20(1).png)