Operations

The build approach is known for 2,484 of 3,413 deployments (73%). The rest are left out.

1. 20 May 2025

   Tech & Comms

   United States

   Autonomous AI agents revolutionize R&D and workflow automation

   Workflow orchestration · Microsoft

   Microsoft Build 2025 showcased the company's comprehensive strategy for developing the 'agentic web'—an ecosystem centered around the deployment of autonomous and multi-agent AI systems. Key announcements included Azure AI Foundry for multi-agent orchestration, next-generation GitHub Copilot coding agents capable of autonomous code refactoring and defect fixing, and Windows AI Foundry for local, on-device AI execution. Microsoft introduced new protocols for agent interoperability (A2A, MCP), enterprise-grade governance (Entra Agent ID), and advanced governance with Microsoft Purview integration. The standout real-world application, Microsoft Discovery, demonstrated the acceleration of scientific R&D—screening over 367,000 materials in 200 hours to rapidly develop a non-PFAS immersion coolant for data centers. The article illustrates a production-ready shift towards autonomous and multi-agent AI solutions, impacting software development, scientific research, and enterprise workflow automation.

   Multi-agent

   200 h

   time
2. 2 Apr 2025

   Insurance

   United Kingdom

   Paymentshield transforms customer support with automated AI agent journeys

   Paymentshield · Customer service automation · Microsoft

   Paymentshield, a UK-based insurance intermediary, grappled with overwhelming volumes of customer calls and emails that strained service capacity, especially during the COVID-19 pandemic. Seeking to alleviate staff workload and reduce customer wait times, the company adopted Smart Intents leveraging Microsoft Azure AI to automate 30 distinct customer interaction workflows. These AI agent-led journeys enabled customers to manage policies, access documents, and resolve information requests autonomously. As a result, 82% of customer issues were fully resolved without human assistance, average resolution times dropped significantly, and policy cancellation rates decreased. The initiative dramatically improved operational efficiency, customer satisfaction, and allowed staff to concentrate on complex or high-touch cases, while the support function was extended to 24/7 availability. In 2021 alone, over 3,000 claim chats were completed automatically, demonstrating tangible efficiency and satisfaction gains for both the business and its customers.

   Multi-agentProduction

   −57%

   quantified impact
3. 30 Aug 2024

   Finance

   Sweden

   Klarna Boosts Customer Service Efficiency Through AI-Powered Virtual Assistant

   Klarna · Customer service automation · Microsoft

   Klarna, a global fintech company, implemented an AI-powered virtual assistant built on OpenAI and Microsoft technologies to automate its customer service operations. By integrating generative AI solutions to handle routine customer queries, Klarna reduced its staff from 3800 to 2000 and cut query resolution times from 11 minutes to 2 minutes. The virtual assistant handles two-thirds of customer service chats and performs the work equivalent to 700 full-time employees. This shift allowed Klarna to increase revenue per employee by 73% and grow overall revenue by 27%, demonstrating significant operational efficiency gains without compromising customer satisfaction. Klarna’s approach establishes a new standard for automation in customer service, leveraging AI to deliver faster, highly efficient, and scalable support.

   AgenticProduction

   +73%

   revenue
4. 4 Jun 2025

   Finance

   Sweden

   Klarna optimizes customer service with AI assistants and strategic human rehiring

   Klarna · Customer service automation · Microsoft

   Klarna, a Swedish fintech company known for its buy-now-pay-later services, undertook a major transformation in its customer service operations by prioritizing artificial intelligence over human employees starting in 2022. The company deployed an AI assistant, powered by Azure OpenAI, to handle an increasing customer workload, which led to the reduction of 2,000 staff since 2022. By 2024, the AI assistant was resolving queries equivalent to the work of 800 full-time agents, resulting in much faster resolution times and significant cost savings. Though initially promoting parity in satisfaction between AI and human agents, the company observed a dip in service quality as it prioritized aggressive headcount cuts. Both the CEO and industry analysts noted that while AI adequately handled routine tasks at scale, it struggled with complex, novel, or highly emotional scenarios where human expertise was superior. Resulting from these insights, Klarna began a strategic rehiring drive in 2025, bringing part-time and freelance human customer service agents back for the most nuanced cases. The company’s evolving strategy now aims to blend efficient AI triage with access to live agents for issues requiring deeper understanding. Klarna estimates it saved approximately $39 million in 2024 from its AI-driven model, with customer queries resolved in about 2 minutes (compared to 12 minutes for humans). However, the company acknowledges the importance of maintaining high service quality and customer trust by ensuring human support remains available where it adds the most value. Industry analysts see Klarna’s experience as a cautionary tale and best practice reference for balancing automation and human intervention in customer service transformation.

   AgenticScaled Production

   ↓ 12 min

   time
5. 25 Mar 2025

   Manufacturing

   Global

   AI agents drive supply chain, automation, and sustainability in manufacturing

   Lifetime Products · Workflow automation · Microsoft

   Various manufacturers, including Lifetime Products, Enerjisa Uretim, Hobart, and Camfil, have adopted Microsoft Dynamics 365 ERP and AI agents to modernize operations and address pressing industry challenges. The solutions focus on supply chain optimization, operational excellence, predictive maintenance, sustainability tracking, and customer service transformation. Autonomous AI agents like the Supplier Communications Agent and Scheduling Operations Agent automate communications and scheduling, reducing labor, increasing productivity, and minimizing disruptions. Integration with Azure IoT, Azure Digital Twins, and Microsoft Fabric enables real-time asset monitoring, predictive analytics, and harmonized business processes. The implementation leverages Microsoft Power Platform for process automation and customization, supporting rapid innovation and process digitization across the business. Results include substantial reductions in downtime, improved delivery times, cost savings, increased automation, and higher workforce productivity, supported by quantified IDC study data.

   Multi-agentProduction

   −85%

   time
6. 18 Aug 2025

   Manufacturing

   Global

   Manufacturing Conglomerate Accelerates Digital Transformation with AI-Based Dynamics 365 Test Automation

   Global manufacturing conglomerate · Business process automation · Microsoft

   A global manufacturing conglomerate adopted an AI-powered test automation solution to address the challenges of testing complex, multi-module Dynamics 365 ERP systems. The implementation integrated VirtuosoQA’s AI engine with Dynamics 365, Power Platform, and OData APIs, enabling natural-language-based and self-healing test automation across finance, operations, sales, and more. The solution drastically reduced manual test maintenance and deployment bottlenecks in multi-environment Dynamics 365 setups. It featured live test authoring, API + UI integration, and context-aware, self-adjusting test scenarios, reducing human error and greatly improving test coverage and reliability for critical workflows like procure-to-pay and order-to-cash across geographies. As a result, the company slashed ERP testing time by 78%, reduced test maintenance by 92%, accelerated digital transformation by 65%, and easily managed both Microsoft updates and customizations without disruption. The adoption enabled continuous business process validation and high software quality with minimal manual intervention. This AI-driven, cross-module ERP testing solution demonstrates how advanced automation, NLU-based test creation, and seamless integration can ensure quality, compliance, and performance for large-scale SAP and Dynamics 365 deployments.

   Agentic

   92%

   quantified impact
7. 9 Apr 2025

   Healthcare

   United States

   UiPath Medical Record Summarization AI Agent Powered by Google Cloud Vertex AI and Gemini Models

   UiPath · Clinical documentation · GCP

   UiPath developed a generative AI-based Medical Record Summarization AI agent to automate the summarization of voluminous medical records, leveraging Google Cloud Vertex AI and Gemini 2.0 Flash model. The agent provides clinician-level, multi-point summaries with traceable citations, using retrieval-augmented generation (RAG) technology to process unstructured medical data. It reduces prior authorization turn-around time by up to 50%, saves up to 40 minutes per referral, and cuts summary completion time from 45 minutes to just minutes. The solution improves accuracy and standardization of medical summaries, reducing errors and enabling better clinical decision making. It is already deployed by a major healthcare payer, reporting 23% faster document processing times and significant cost avoidance.

   AgenticProduction

   +23%

   time
8. Healthcare

   India

   Cloudphysician: Improving ICU patient care with AI and Google Cloud

   Cloudphysician · AI development platform · GCP

   Cloudphysician leverages Google Cloud to provide virtual ICU technology that enhances patient care, reduces mortality rates, and addresses the shortage of critical care nurses in India. The company uses Google Cloud services including Vertex AI, Cloud Vision API, Google Kubernetes Engine, Google Meet, Google Chat, Med-PaLM, and Gemini to implement AI-powered patient monitoring and virtual nursing support. Their platform integrates high-definition cameras, AI-powered RADAR monitoring, and real-time collaboration tools to improve operational efficiency and support critical care delivery.

   Multi-agentProduction

   −40%

   quantified impact

1. 29 Apr 2026

   Manufacturing

   United States

   Blue Origin Accelerates Lunar Hardware Development Using Agentic AI on AWS

   Blue Origin · Agent orchestration · AWS

   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.

   Multi-agent

   6×

   quantified impact
2. 24 Mar 2026

   Logistics

   United States

   Supply Chain 2.0: How Microsoft is Powering Simulations, AI Agents, and Physical AI

   Microsoft · Supply chain optimization · Microsoft

   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.

   Multi-agentProduction
3. 18 Nov 2025

   Agriculture

   United States

   Land O'Lakes advances resilient US farm productivity with AI-powered digital assistant

   Land O'Lakes · Agronomic advisory · Microsoft

   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.

   AgenticProduction
4. 4 Nov 2025

   Energy & Utilities

   Kenya

   Fastagger empowers African SMBs with mobile AI assistant

   Fastagger · Customer personalization · Microsoft

   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.

   AgenticProduction
5. 26 Aug 2026

   Agriculture

   Switzerland

   Syngenta builds a governed enterprise agent mesh with Amazon Bedrock AgentCore

   Syngenta · Agent orchestration · AWS

   Syngenta built and deployed a federated agent mesh using Amazon Bedrock AgentCore to support enterprise AI experimentation with centralized governance and security. The multi-account hub-and-spoke architecture centralizes orchestration, observability, gateway services, and identity while business units independently deploy agents.

   Production
6. 15 Oct 2025

   Finance

   Canada

   Canadian real estate firm streamlines finance with AI copilots

   Leading Canadian Real Estate Capital Firm · Risk assessment · Microsoft

   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.

   Multi-agentProduction

   −30%

   time
7. 23 Jul 2026

   Healthcare

   United States

   Virtua Health builds AI-enabled patient insights with Microsoft Copilot, Azure AI Foundry, Azure Machine Learning and Power BI

   Virtua Health · Clinical decision support · Microsoft

   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.

   Production

   +80%

   sepsis identification
8. 20 Aug 2026

   Tech & Comms

   United States

   Articul8 AI accelerates enterprise generative-AI training and deployment with Amazon SageMaker HyperPod

   Articul8 AI · AI model training · AWS

   Articul8 AI built an autonomous, full-stack generative AI platform on AWS for enterprises to develop, deploy, and manage models within their own security perimeters. The platform uses Amazon SageMaker HyperPod for distributed pretraining and fine-tuning of large and domain-specific models, with automated faulty-node replacement and lifecycle customization. Articul8 AI integrated Amazon Managed Grafana to provide near-real-time GPU observability and a single-pane-of-glass dashboard.
9. 18 Jun 2026

   Finance

   United States

   PitCrew verifies AI agent decisions with Automated Reasoning on AWS

   PitCrew · Workflow automation · AWS

   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.

   Multi-agent

   40

   Automated Reasoning policies
10. 22 Jul 2026

    Manufacturing

    Japan

    ARUM: LLM-powered AI machining character KAYA using Azure OpenAI, Azure AI Search and Azure Speech

    ARUM · Factory automation · Microsoft

    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.

    Agentic

    177

    NC programming steps