Success Stories

The Indiana Secretary of State transformed over 20 million historical government records into searchable intelligence using Google Cloud's Gemini and Vertex AI, enabling rapid data insights and modernized legacy systems.,They deployed bilingual AI-powered conversational agents Liz and Otto to provide 24/7 resident support in English and Spanish, significantly increasing team capacity and user access.,Additionally, the office launched a Notary Learning Management System (LMS) powered by AI on Google Kubernetes Engine, training over 50,000 statewide notaries with interactive micro-learning, leading to an award for Best Application Serving the Public at the State Level.

Blue Origin, a leading aerospace company, accelerated lunar hardware development by leveraging AI agents and advanced AWS services.,The company built BlueGPT platform with over 2700 AI agents using Amazon Bedrock, Amazon Bedrock AgentCore, Amazon EKS, Amazon EC2, Amazon OpenSearch, and Strands Agents SDK.,BlueGPT enables autonomous iterative design loops, complex GPU-accelerated physics simulations, and hierarchical AI agent orchestration, drastically reducing hardware development time from years to days.,This AI-powered approach democratized AI use across 70% of employees, improving productivity and enabling the delivery of the world’s first AI agent-designed lunar hardware ready for Moon deployment.

Microsoft has transformed its supply chain by consolidating over 30 systems into a single data lake on Azure enabling AI-driven autonomous workflows. Over 25 AI agents handle tasks such as demand planning, spare-part space optimization, transport optimization, and invoice analysis. The system integrates simulations, digital twins, and AI-powered robotics to optimize warehouse and logistics operations.,The platform uses technologies including Azure Machine Learning, Microsoft Fabric, Azure IoT Operations, Microsoft 365 Copilot, Microsoft Foundry, NVIDIA Isaac Sim, Azure Kubernetes Services, Microsoft Power Automate, and Celonis Process Intelligence Graph. It hosts AI agents able to reason, plan, and act, improving operational KPIs and saving hundreds of work hours monthly across Microsoft and partner warehouses.,Physical AI robotics like humanoid robots are deployed for warehouse tasks and last-mile deliveries enhancing operational agility. Partners such as SoftServe and Celonis have implemented agentic AI and digital twin solutions, achieving significant productivity gains in pharmaceutical logistics and warehouse automation.

Vxceed, a global SaaS provider for consumer packaged goods sales and distribution, built a near real-time AI platform on AWS to improve store-level visibility and execution for retail-focused organizations.,The platform interprets store signals, produces actionable guidance for commercial teams, and generates AI news bulletins with audio and video.

Forvis Mazars, a global business advisory firm, implemented agentic AI and automation to drive digital transformation across industries, notably real estate, healthcare, legal, and biotech.,Leveraging Microsoft technologies including Azure Functions, Azure Logic Apps, Copilot Studio, Power Platform, Microsoft 365 Copilot, Microsoft Fabric, Purview, Defender, and Entra ID, the firm enabled AI agents to autonomously execute business processes with minimal human intervention.,Their maturity journey spanned from rules-based RPA pilots to multi-step agentic automation, embedding business intelligence, compliance, and responsible AI principles throughout.,A flagship implementation automated payroll auditing for real estate clients, reducing processing time from three weeks to one hour, and ensured compliance with local regulations.,Modernization efforts included secure cloud migration and automatic incident response in healthcare, real-time dashboards for legal contract analytics, and personalized member engagement for biotech organizations.,Governance frameworks and an AI Center of Excellence ensured safe roll-out, with metrics/measurable ROI tracked via Microsoft Fabric dashboards.,The project is a leading example of large-scale enterprise agentic AI delivering dramatic productivity, compliance, and operational resilience gains via the Microsoft AI stack.

Land O'Lakes, a leading US agricultural cooperative, expanded its partnership with Microsoft to launch Oz, an AI-powered digital assistant built on Azure AI Foundry. Oz gives retail agronomists instant access to two decades of proprietary crop data, supporting rapid, informed decisions for cost-effective farming interventions. The alliance aims to relieve economic pressure on US farms facing rising input costs, margin squeezes, and climate-related challenges.,The collaboration represents a broader modernization initiative, with the majority of Land O'Lakes' IT migrated to Azure Cloud and Copilot tools tailored to farm management. Additional digital platforms, like Digital Ag and Digital Dairy, enable farmers to track soil health, optimize herds, and align outputs with consumer demand.,Oz is being positioned as a precision tool for agronomists and demonstrates how AI and cloud can advance food security, climate-resilient farming, and operational efficiencies in agriculture.

Fastagger, an African deep-tech startup, has developed a mobile AI business assistant to empower small and medium businesses (SMBs) in Africa. Addressing the challenge of unreliable internet and limited digital infrastructure, Fastagger’s solution runs AI models efficiently on affordable smartphones without requiring a continuous connection. The AUNI system is embedded into Safaricom’s M-PESA Business App, supporting over 2,500 MSMEs in Kenya. This on-device agent enables customer engagement automation, loyalty management, and business coaching.,The AI assistant reduces previously manual processes from eight steps to just two, driving operational efficiency and customer retention. Microsoft’s Africa Transformation Office and NVIDIA have supported Fastagger with mentorship and resources, accelerating the deployment of this mobile-based AI. Key partnerships and the integration with tools like Azure AI, Azure IoT, and GitHub enable robust on-device machine learning. Real-world results underscore substantial improvements in SMB engagement, financial tracking, and growth opportunities, enhancing digital access for underserved populations.,By decentralizing access to AI, Fastagger brings business intelligence and automation to bandwidth-constrained and rural environments—making it easier for SMBs to track customer data, streamline marketing, and make data-driven decisions. The SaaS product costs just $1 to $5 per month, making advanced technologies affordable for local entrepreneurs.,The project illustrates how Microsoft technologies and strategic partnership can close Africa’s digital divide, offering repeatable digital business models to other regions. Fastagger’s infrastructure is available globally via Azure, expanding its impact beyond Africa. Participant feedback validates the significant value of democratized, mobile-first AI for emerging markets.

A leading Canadian commercial real estate capital firm partnered with ALIANDO to overhaul its underwriting, compliance, and finance operations. Facing significant manual processing bottlenecks and siloed data, the firm worked with ALIANDO, a Microsoft partner, to develop a unified AI strategy centered on coordinated copilots. This project leveraged Microsoft Fabric, Azure AI, Power Platform, Azure OpenAI Service, and Copilot Studio to automate document summarization, risk scoring, regulatory validations, audit preparation, and provide real-time analytics. The solution integrated multiple departments’ workflows, increased collaboration, and positioned the company for scalable future innovation. The immediate outcomes were notable improvements in speed, throughput, and revenue, showcasing the value of AI-driven modernization in the finance industry.

Growth Protocol uses Google Cloud and Elastic to power a neuro-symbolic platform that gives executives clear, deterministic growth recommendations they can act on.,The company combines neural pattern recognition with symbolic rules to make high-stakes business decisions explainable, auditable, and governed.,Its platform is designed to ingest and search hundreds of billions of data points from public and private enterprise sources with near-instant results.

Alibaba Cloud's Tair KVCache team and storage hardware-software integration team upgraded the open-source 3FS file system to support enterprise KVCache storage for AI inference.,The work optimized RDMA load balancing and small I/O, added a user-space persistence engine, introduced GPU Direct RDMA and multi-tenant isolation, and built a Kubernetes Operator for one-click deployment, self-healing, elastic scaling, and monitoring.,The solution was integrated with SGLang, vLLM, and Tair KVCache Manager to improve long-context and agent-style inference performance.

PitCrew provides an agentic AI platform for financial services that maps systems and configures agents against customer data and policies.,The solution uses Amazon Bedrock Guardrails automated reasoning to convert regulations and business policies into logical statements and verify AI outputs with transparent explanations.,PitCrew also uses Amazon Bedrock AgentCore, AWS Lambda, Amazon S3, and Amazon RDS to run production agents and orchestrate policy build workflows.

Tata Consultancy Services (TCS) provides an AI-native platform for insurance claims processing that transforms a linear claims workflow into an agent-driven ecosystem.,The solution uses Amazon Bedrock Agents with specialist agents to handle document and image ingestion, data extraction, NIGO checks, triage, anomaly detection, and auto-adjudication across workers compensation and disability claims, including live audio transcript generation and dynamic FNOL form filling.

Tangram Therapeutics is a UK biotech company focused on solving human disease through computational RNA interference (RNAi) medicines.,To accelerate drug target discovery and evaluation, Tangram built LLibra OS, an agentic AI platform that unifies proprietary, licensed, and curated public datasets for research and target-indication assessment.,The platform supports retrieval augmented generation, web search, and text-to-SQL to help researchers identify novel targets, evaluate therapeutic potential, and design medicines.

Trend Micro enhanced its Companion AI assistant in its Vision One security software with long-term and short-term agentic memory capabilities.,The company used Amazon Neptune as a knowledge graph and experience layer to connect threat intelligence, alerts, investigations, and successful remediation patterns so analysts can get more explainable and personalized security recommendations.,Trend Micro combined Amazon Bedrock, Amazon Textract, and Amazon Managed Streaming for Apache Kafka to orchestrate agentic workflows, clean and enrich user conversations, and feed metadata into the graph for long-term memory and correlation analysis.

Druva built DruAI, an agentic AI solution to help customers complete cyber investigations and recovery workflows.,The solution uses a multi-agent system on AWS with AgentCore Memory, AgentCore Code Interpreter, Amazon Bedrock access to Claude models, voice capabilities with Amazon Nova Sonic, and Bedrock Guardrails.,In production, DruAI coordinates 8 to 10 specialized agents across investigation, help, and recovery workflows.

National Library Board and Singapore's Ministry of Digital Development and Information created the SG60 Heart & Soul experience to give citizens personalized stories for Singapore's 60th birthday.,The project required real-time generation of high-fidelity video, customized audio, and face-fusion aging models while meeting low-latency and data-residency requirements.,Google Distributed Cloud Connected was deployed at the edge and Gemini models in Vertex AI powered the digital concierge and personalized creative content.

AnalyticDB Ray is a fully managed Ray service on Alibaba Cloud AnalyticDB for MySQL that supports cloud-native Data+AI workloads with hybrid CPU/GPU resource scheduling.,The article describes PB-level multimodal processing and distributed fine-tuning scenarios, including Qwen-VL multimodal model fine-tuning through LLamaFactory integrated into AnalyticDB Ray.

Kimi rolled out multiple agent-based products and built an end-to-end agent infrastructure with Alibaba Cloud to handle high-concurrency requests, fast sandbox startup, state preservation, secure isolation, and low-cost elastic scaling.,The architecture combines Alibaba Cloud Container Service for Kubernetes (ACK), ACS Agent Sandbox, Lindorm multi-model database, MicroVM isolation, NetworkPolicy, and Fluid to support production AI agents and model training workloads.

Schneider Electric, a global leader in energy and industrial automation, faced growing operational complexity and rising energy demands in AI-driven industrial environments. To maintain its leadership and advance sustainability, Schneider Electric developed an AI-native ecosystem centered on its EcoStruxure platform and powered by Microsoft Azure AI Foundry and Azure OpenAI. Strategic alliances with Microsoft and NVIDIA enabled the integration of AI throughout energy, automation, and sustainability applications. Schneider Electric now delivers industrial AI copilots, end-to-end AI-ready infrastructure for high-density data centers (including liquid cooling with Motivair), predictive maintenance, and a data-driven 'self-healing' supply chain. The architecture enables seamless connection from sensors and hardware to cloud AI services, driving outcomes like lower costs, accelerated delivery, and massive reductions in energy and carbon footprint. Schneider Electric has achieved a €130M+ supply chain value, reduced inventory/delivery times, and scaled recurring AI software revenues. Its open ecosystem and vertical integration make it a dominant industrial AI partner globally.

IBM transformed HR support by consolidating 25 chatbots into a single AskHR interface for employees and managers.,Using IBM's AI assistant builder and generative AI, AskHR expanded from baseline HR Q&A into transaction execution and multiagent orchestration.,The system became the digital front door for HR transactions, supporting always-on self-service and backend execution for requests such as employee transfers and employment verification letters.