Most innovative documented deployments

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.

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.

Virtua Health is a healthcare provider serving the South Jersey and Philadelphia region across five hospitals and more than 400 health facilities.,The organization uses Microsoft technology to deliver AI-powered patient summaries and predictive insights to clinicians and operational leaders at the point of care to reduce cognitive load and improve patient outcomes.

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.

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.

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.

Turbo AI is a technology company founded by experts in cloud computing, distributed systems, and machine learning.,It provides vertically integrated infrastructure services for organizations building, training, and running AI models.,The company partnered with Alibaba Cloud to solve multi-cloud complexity, large-scale data migration, and GPU cost and flexibility challenges.

ARUM designed a machining center that leverages LLMs so workers can operate the tool through natural conversations.,The solution features AI character KAYA and integrates Microsoft AI services on Azure to support chat, voice communication, summarization, database search, and fallback agent behavior.,KAYA enables novice workers to perform high-precision machining and helps automate NC program creation in a manufacturing environment facing skilled labor shortages.

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.

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.

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.

Banco Bradesco, one of Brazil's largest private financial groups, built a scalable generative AI platform called BRIDGE on Microsoft Azure Red Hat OpenShift.,The platform integrates multiple AI models, supports modular multi-agent creation for business teams, and connects to Azure OpenAI while embedding governance, security, and regulatory controls.,BRIDGE serves internal support, development, operations, technology, and customer-service use cases across the bank.

Axpo, Switzerland’s leading renewable energy producer, undertook a digital transformation to enhance power grid operational efficiency. Facing challenges with decentralized, slow asset information retrieval over a 2,400 km high-voltage grid with 90,000+ assets, Axpo developed the web-based 'Insights' platform. Leveraging Microsoft Azure Cognitive Search, Azure Maps, Power BI, Azure IoT Edge/Hub, and Azure Data Factory, the platform provides real-time asset data, AI-based drone image analysis, SCADA integration, and incident management, enabling faster and safer asset monitoring and predictive maintenance.,Key integrations enabled engineers and maintenance teams to visualize assets geographically, rapidly locate faults, and streamline both manual and drone inspection processes. The Incident Management Module improved crew response and communication. Results include a 99% reduction in asset information search times, safer line inspections via drones, and stepwise progress toward predictive maintenance, supporting grid reliability for Switzerland and Liechtenstein.