Indiana Secretary of State (Public Sector) holds #1 with 4.8/5 time-adjusted innovativeness; Finance leads this page with 3 of 20 cases.
Open a case for full evidence, sources, and implementation details.Click any column header to sort & filter — e.g. Market for industry, domain & country.
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.
Innovation
4.8 / 5
Outcome
Better decisions & insightTransformed legacy records into searchable intelligence
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.
Innovation
4.7 / 5
Outcome
Scale & capacityUnified fragmented supply chain data
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.
Innovation
4.7 / 5
Outcome
Daily transactions processed: Approximately 250,000,000 USD/day
KTern.AI built a production agentic AI platform for SAP S/4HANA transformation workloads using Amazon Bedrock AgentCore, with more than 20 specialized agents for reverse engineering, fit-to-standard, code analysis, test generation, process mining, and exception mining.,The system uses AgentCore runtime, memory, gateway, identity, observability, and evaluations to provide persistent context, secure tool access, multi-tenant isolation, and traceable enterprise operations.
Innovation
4.6 / 5
Outcome
Engineering hours reclaimed per month: 480 hours/month
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.
Innovation
4.5 / 5
Outcome
New product / capabilityLaunched an AI agronomy assistant
Bluesight built Prism Assistant and a broader multi-product agentic AI platform to automate healthcare compliance workflows across its product suite.,The solution uses Amazon Bedrock AgentCore, Amazon Bedrock, MCP tools, and multi-agent orchestration to gather evidence across products and produce auditable compliance determinations.
Innovation
4.5 / 5
Outcome
Report generation and data analysis speed: Up to 97% higher
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.
Innovation
4.5 / 5
Outcome
New product / capabilityLaunched mobile AI business assistant
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.
Proxima Fusion, a Munich-based fusion energy company, is using Google Cloud to accelerate the design of stellarators for clean fusion energy.,The company launched project AlphaClaw to multiply the number of simulations engineers can orchestrate and reduce the manual effort needed to interpret and relaunch runs.
ZKH Group Limited is an MRO procurement platform that modernized legacy procurement workflows and expanded globally with Alibaba Cloud.,The company built its own industry model in 2024 using the open-source Qwen model on Alibaba Cloud and fine-tuned it with e-commerce data to create a specialized expert model for daily MRO scenarios.,ZKH deployed multiple AI agents to standardize materials, provide interactive services, compare supplier prices, and recommend products from natural-language requirements.,The broader platform architecture also included ECS GPU Instances, ACK, ASM, OSS, PolarDB, MaxCompute, and Cloud Enterprise Network to support AI, storage, data processing, and international connectivity.
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.
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.
Stripe built a production-grade AI agent system for financial compliance on AWS to help compliance teams review thousands of transactions daily without proportional headcount growth.,The system uses Amazon Bedrock with a ReAct-style agent framework, task decomposition into a DAG of sub-tasks, a dedicated agent service, and an LLM proxy with prompt caching and model fallbacks.
Innovation
4.3 / 5
Outcome
Risk & compliancePreserved auditability for regulatory scrutiny
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.
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.
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.
KTern.AI built a production agentic AI platform for SAP S/4HANA transformation workloads using Amazon Bedrock AgentCore, with more than 20 specialized agents for reverse engineering, fit-to-standard, code analysis, test generation, process mining, and exception mining.,The system uses AgentCore runtime, memory, gateway, identity, observability, and evaluations to provide persistent context, secure tool access, multi-tenant isolation, and traceable enterprise operations.
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.
Bluesight built Prism Assistant and a broader multi-product agentic AI platform to automate healthcare compliance workflows across its product suite.,The solution uses Amazon Bedrock AgentCore, Amazon Bedrock, MCP tools, and multi-agent orchestration to gather evidence across products and produce auditable compliance determinations.
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.
Proxima Fusion, a Munich-based fusion energy company, is using Google Cloud to accelerate the design of stellarators for clean fusion energy.,The company launched project AlphaClaw to multiply the number of simulations engineers can orchestrate and reduce the manual effort needed to interpret and relaunch runs.
ZKH Group Limited is an MRO procurement platform that modernized legacy procurement workflows and expanded globally with Alibaba Cloud.,The company built its own industry model in 2024 using the open-source Qwen model on Alibaba Cloud and fine-tuned it with e-commerce data to create a specialized expert model for daily MRO scenarios.,ZKH deployed multiple AI agents to standardize materials, provide interactive services, compare supplier prices, and recommend products from natural-language requirements.,The broader platform architecture also included ECS GPU Instances, ACK, ASM, OSS, PolarDB, MaxCompute, and Cloud Enterprise Network to support AI, storage, data processing, and international connectivity.
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.
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.
Stripe built a production-grade AI agent system for financial compliance on AWS to help compliance teams review thousands of transactions daily without proportional headcount growth.,The system uses Amazon Bedrock with a ReAct-style agent framework, task decomposition into a DAG of sub-tasks, a dedicated agent service, and an LLM proxy with prompt caching and model fallbacks.
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.
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.