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.

NVIDIA partnered with Google Cloud to enable on-premises agentic AI by integrating Google Gemini models with NVIDIA Blackwell platforms and Confidential Computing, ensuring data sovereignty and regulatory compliance for sensitive enterprise operations. The solution further optimizes AI inference and observability by deploying a GKE Inference Gateway alongside NVIDIA Triton Inference Server, NVIDIA NeMo Guardrails, and NVIDIA Dynamo to enhance secure routing and load balancing for enterprise workloads.

Quantium deployed Anthropic's Claude across its organization to empower over 1200 employees in functions such as coding, proposal drafting, training development, and leadership coaching. They implemented the AI solution by launching an "ALL IN on AI" strategy with clear guidelines, practical guardrails, and comprehensive hands-on training programs integrated into daily workflows. This approach streamlined routine tasks and enabled teams to focus on strategic initiatives.

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.

Canva integrated Claude for Work into its design, engineering, and product development workflows to enable employees to rapidly prototype designs, generate code, and create polished content without specialized tools. They implemented a multi-vendor AI ecosystem supported by internal training programs, Slack channels for sharing AI successes, and guidance from their internal AI Solutions team, fundamentally transforming creative and collaborative processes across the organization.

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.

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.

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.

Bito implemented AI-powered developer agents by integrating Anthropic's Claude and leveraging Claude 3.7 Sonnet for advanced reasoning into its code review and coding workflows. They utilized Anthropic’s robust API and developer-friendly infrastructure to embed an AI Code Review Agent and Bito Wingman directly within developers’ Git workflows and popular IDEs, enabling automated analysis of pull request diffs and code architecture. This integration streamlined code review, error detection, and code generation processes while upholding security standards.

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.

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

Wipro integrated Microsoft 365 Copilot to enable natural language commands and real-time suggestions across Microsoft applications, automating document management and proposal creation. They also deployed GitHub Copilot for developers and utilized Azure OpenAI to drive generative AI transformation across the enterprise, integrating these tools into existing business workflows. This comprehensive implementation improved internal collaboration and expedited processes for presales, sales, marketing, and development teams.

Mphasis launched an early adoption program integrating Microsoft 365 Copilot across 300 power users spanning functions such as delivery, finance, HR, legal, marketing, and IT. They implemented the tool within their existing Microsoft 365 environment to provide real-time suggestions, feedback, and collaborative access, transforming writing and communication workflows. This strategic integration reskilled employees by reducing manual interventions and boosting overall operational efficiency.

LambdaTest strategically integrated GitHub Copilot into its software development process by leveraging GitHub Actions’ intelligent code autocompletion to deliver instant code suggestions and facilitate collaborative problem-solving through GitHub’s chat functionality. The integration, implemented within Visual Studio Code, streamlined context switching and enhanced the unit testing process by automatically generating best-practice code snippets. This transformation optimized the coding workflow and allowed developers to concentrate on strategic feature development.

InMobi integrated a suite of Microsoft-powered AI solutions to automate repetitive internal processes including onboarding, access approvals, document management, legal reviews, and meeting follow-ups. They implemented Azure AI as a bespoke legal bot, GitHub Copilot for engineering, and Microsoft 365 Copilot (with Teams, Word, and Outlook Copilot) for real-time meeting summaries, document automation, and email efficiency, while planning to integrate Dynamics 365 Copilot for finance and deploying a Teams Bot for developers. This holistic approach improved workflows across legal, engineering, compliance, finance, and other functions, freeing up employees to focus on strategic and creative initiatives.

Noventiq integrated Microsoft 365 Copilot into its daily operations to automate routine administrative tasks and enhance communication between teams. They implemented the tool across internal systems to generate intelligent recaps, meeting summaries, email drafts, and thread summaries, effectively replacing manual workflows and streamlining document collaboration. This transformation enabled employees to shift focus onto strategic initiatives and agile decision-making.

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.

HCLTech developed an AI-based TeamSight platform using GitHub Copilot and Microsoft 365 Copilot. They fine-tuned role definitions, KPIs, and measurement metrics through targeted prompts and generated scripts to integrate multiple tools for automated data collection and bottleneck identification. This enhanced engineering workflows by providing comprehensive dashboards for engineers and managers to track progress and identify corrective actions.

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.

C3IT built custom Microsoft 365 Copilot extensions to automate key project lifecycle tasks for Business Analysts and Project Managers. Biz Analyst Copilot automates the drafting of Business Requirements Documents by summarizing client requirements, while Copilot PM Assist delivers real-time project updates from Azure Boards to streamline project tracking and kick-off preparations. These implementations enhanced requirement gathering, documentation, and overall project management workflows.

Birlasoft integrated M365 Copilot into core business operations—including HR, Legal, Pre-sales, IT Support, Sales Operations, and delivery functions—to drive enterprise productivity. They also developed innovative in-house GenAI applications, such as a conversational bot for policy queries and a ServiceNow-integrated solution to automate IT ticket responses, streamlining support workflows.

Factory built a command center for software development by embedding OpenAI’s reasoning models directly into its platform’s workflows. They integrated specific models—using o1 for complex architectural planning, o3‑mini for rapid exploration and bug triage, and GPT‑4o for real-time code generation—across various stages of the development lifecycle. This implementation streamlined coding, design, review, and knowledge retrieval processes by reducing manual research and minimizing context switching, enabling developers to focus on high-leverage tasks.

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.

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.

LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.

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.

Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.

Amazon uses Claude to power their AI-driven customer service assistant, Amazon Q in Connect, which serves agents and end-customers. It provides real-time AI assistance to agents handling complex cases and offers end-customers instant, personalized self-service options.

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.