Urban Company leveraged generative AI to revolutionize its home services by automating customer support and quality assurance processes. They implemented AI-powered empathetic chatbots, automated photo-based quality checks, and smart decisioning flows using Azure OpenAI services to streamline scheduling and support a distributed workforce. This integration improved operational workflows and enhanced customer interactions across its service platform.

LTIMindtree leveraged AI by deploying M365 Copilot Extensibility with declarative agents that enable senior leadership and pre-sales teams to perform real-time, efficient data queries for RFPs and RFIs, and implemented Azure Open AI to automatically gather and organize information on HR policies, SOPs, and IT applications. They further fortified security by integrating Security Copilot with Intune, XDR, MDTI, and Sentinel, and empowered 1,600 developers with GitHub Copilot to reduce development time and improve test coverage.

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.

Augment code integrated Anthropic's Claude within Google Cloud's Vertex AI to develop an AI-powered code assistant that provides expert-level contextual understanding of complex software systems. By automating code comprehension, debugging, documentation, and change propagation within development workflows, the solution dramatically reduced project timelines and sped up developer onboarding while ensuring SOC 2 Level 2 compliant security protocols.

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.

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.

Embee leveraged Azure OpenAI and Microsoft Copilot to automate and enhance operations across multiple departments including sales, marketing, HR, IT support, and software development. They integrated custom SAP Copilot plugins for instant access to financial and sales data, built ITSM plugins to automate support ticket management, and enabled developers with GitHub Copilot for code validation and testing automation. These steps streamlined workflows, reduced manual tasks, and provided real-time insights.

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.

Dynamic Health Systems built its VitruCare365® platform on Microsoft Cloud for Healthcare by integrating Microsoft Azure, FHIR, Dynamics 365, and Azure OpenAI Service to deliver personalized patient apps and AI-powered chatbots. They deployed a retrieval augmented generation technique with custom RAG Flag technology and integrated the solution within Microsoft 365 for telemedicine consultations, appointment scheduling, and motivational care planning. This comprehensive integration automated patient engagement and care plan management, streamlining clinical workflows.

The Warriors overhauled their IT and data infrastructure with Google Cloud, integrating 30+ fan-facing data sources and analyzing over 100M data points to build a custom mobile app using App Engine and Firebase for a personalized digital fan experience. They implemented Gemini for Google Workspace to automate repetitive administrative tasks, streamlining internal processes and saving 41 hours per employee annually. Additionally, they are exploring Vertex AI to integrate natural language search with BigQuery, enhancing data-driven decision-making for both team performance and fan engagement.

apree health adopted Google Workspace to centralize data access management and secure sensitive patient data by consolidating disparate security systems into a unified admin console. They implemented a zero-trust strategy with granular access controls, endpoint management, and integrated Gemini for Google Workspace to streamline document creation and collaboration across development and patient care. The migration, supported by SADA, involved transitioning over 1,200 employees and providing extensive training to facilitate a smooth change management process.

Hydro Ottawa, a major electricity provider for Canada’s capital, implemented Google Workspace and Gemini to improve collaboration, create job posts, conduct legal and technical research, write policies, generate content, summarize documents, and organize meeting agendas across all teams.

Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.

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.

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.