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  <title>AIUseCaseHub — Newest AI Use Cases</title>
  <link>https://www.aiusecasehub.com/cases</link>
  <description>Newest source-linked enterprise AI deployments added to the AIUseCaseHub corpus.</description>
  <language>en</language>
  <lastBuildDate>Sun, 12 Jul 2026 22:26:17 GMT</lastBuildDate>
  <item>
    <title>Levi Strauss &amp; Co.: Levi Strauss &amp; Co. builds a unified Super Agent with Microsoft Foundry and Copilot</title>
    <link>https://www.aiusecasehub.com/case/ab4cdfe3aea2e178fcc9c94f92eb7e7e8d2b33cbf561ec2bbb172e15993c8f14/levi-strauss-co-builds-a-unified-super-agent-with-microsoft-foundry-and-copilot</link>
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    <description>Levi Strauss &amp; Co. is scaling its direct-to-consumer business by using Microsoft Foundry and GitHub Copilot to build purpose-driven agents and a unified Super Agent experience in Microsoft Teams. The Super Agent is designed to be a single entry point that routes employee requests to specialized downstream agents for SAP, HR, retail and inventory, finance, and IT workflows while accessing governed live data from systems of record. The company also uses Microsoft 365 Copilot for enterprise productivity and Azure as the foundation for global scale and SAP workloads.</description>
    <category>Retail</category>
    <pubDate>Sun, 12 Jul 2026 21:32:19 GMT</pubDate>
  </item>
  <item>
    <title>ASEAN Business Advisory Council: ASEAN Business and Investment Summit (ABIS 2025): Real-time translation + Gemini Ultra post-event research</title>
    <link>https://www.aiusecasehub.com/case/30d16de535ddfe373e51718b1b36caf9fbae7ce7a4633877b8de4fdb22a80807/asean-business-and-investment-summit-abis-2025-real-time-translation-gemini-ultra-post-event-research</link>
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    <description>ASEAN-BAC Malaysia and ABIS 2025 used Google Cloud to provide low-latency multilingual communication across 29 summit sessions for more than 2,300 delegates. The implementation combined Speech-to-Text, Cloud Translation API, Text-to-Speech, Compute Engine, Cloud Load Balancing, Firebase delivery, and Gemini Ultra plus NotebookLM for transcript research and summarization.</description>
    <category>Public Sector</category>
    <pubDate>Sun, 12 Jul 2026 17:46:04 GMT</pubDate>
  </item>
  <item>
    <title>MacroFactor: MacroFactor: Gemini 2.5 Flash meal photo logging with Firebase AI Logic + Vertex AI</title>
    <link>https://www.aiusecasehub.com/case/76763cd1b6e44360ad765ce998c0d186a0f6ed77b1ce0f65a07eebfe34390f82/macrofactor-gemini-2-5-flash-meal-photo-logging-with-firebase-ai-logic-vertex-ai</link>
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    <description>MacroFactor uses Firebase, Flutter, and Gemini to scale its nutrition app to 400k+ users and deliver trusted AI-powered food logging. The app lets users log meals by photo, prompts Gemini 2.5 Flash directly from the app with Firebase AI Logic, and breaks meals down to ingredient-level nutrition data with editable, transparent results.</description>
    <category>Consumer &amp; Food</category>
    <pubDate>Sun, 12 Jul 2026 17:31:05 GMT</pubDate>
  </item>
  <item>
    <title>Refik Anadol Studio: Refik Anadol Studio: Large Nature Model image pipeline with Vertex AI + Gemini + BigQuery</title>
    <link>https://www.aiusecasehub.com/case/6ee9807072c4db9618a998b3b051cd218a8ea9a6709fb2058dfc0d79650076a6/refik-anadol-studio-large-nature-model-image-pipeline-with-vertex-ai-gemini-bigquery</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/6ee9807072c4db9618a998b3b051cd218a8ea9a6709fb2058dfc0d79650076a6/refik-anadol-studio-large-nature-model-image-pipeline-with-vertex-ai-gemini-bigquery</guid>
    <description>Refik Anadol Studio used Google Cloud to build the Large Nature Model, a nature-based AI model that processes and understands billions of natural-world images for the DATALAND exhibition. The workflow uses Vertex AI, Gemini 2.5 Flash, BigQuery, and Google Cloud Storage to generate captions, embeddings, and searchable metadata for RAG-style retrieval over the archive.</description>
    <category>Other</category>
    <pubDate>Sun, 12 Jul 2026 17:17:50 GMT</pubDate>
  </item>
  <item>
    <title>BPM: BPM scales Microsoft 365 Copilot and Copilot agents for tax workflows with governance</title>
    <link>https://www.aiusecasehub.com/case/476512aeddc137f57d879188d4bd76031f5e490c7ada3c9a47b9b0b40ab461d0/bpm-scales-microsoft-365-copilot-and-copilot-agents-for-tax-workflows-with-governance</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/476512aeddc137f57d879188d4bd76031f5e490c7ada3c9a47b9b0b40ab461d0/bpm-scales-microsoft-365-copilot-and-copilot-agents-for-tax-workflows-with-governance</guid>
    <description>BPM standardized on Microsoft 365 Copilot across Word, Outlook, and Teams to help tax and assurance teams rebuild context quickly, reduce message overload, and draft work faster under busy-season pressure. The firm added Copilot agents for tax-return evaluation against internal planning frameworks and for quality checkpointing with escalation criteria, supported by enterprise governance, identity and access controls, and role-based training.</description>
    <category>Professional Services</category>
    <pubDate>Sun, 12 Jul 2026 16:31:56 GMT</pubDate>
  </item>
  <item>
    <title>Wave Group: The Wave Group: agentic orchestration with watsonx Orchestrate across fragmented enterprise systems</title>
    <link>https://www.aiusecasehub.com/case/2e37801e76c883c481b57b16ac6dae0542afdfac73780e88ad29d6503d12f3df/the-wave-group-agentic-orchestration-with-watsonx-orchestrate-across-fragmented-enterprise-systems</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/2e37801e76c883c481b57b16ac6dae0542afdfac73780e88ad29d6503d12f3df/the-wave-group-agentic-orchestration-with-watsonx-orchestrate-across-fragmented-enterprise-systems</guid>
    <description>Wave Group implemented an agentic orchestration pattern using IBM watsonx Orchestrate to layer intelligence across existing systems, connect 11 enterprise data sources through API-driven integration, and create a governed data foundation for structured and unstructured data. The architecture uses domain-specific AI agents to route queries, reason across functions, and provide role-based, source-grounded responses without replacing SAP, Oracle, Salesforce, and other core systems.</description>
    <category>Other</category>
    <pubDate>Sun, 12 Jul 2026 15:31:36 GMT</pubDate>
  </item>
  <item>
    <title>Broward County Public Schools: Broward County Public Schools scales Microsoft 365 Copilot and Copilot Studio at district-wide K-12 level</title>
    <link>https://www.aiusecasehub.com/case/218bc06162187cc5bb0eaf110f19e5c8601aea17771d6848ab8f88507119d687/broward-county-public-schools-scales-microsoft-365-copilot-and-copilot-studio-at-district-wide-k-12-level</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/218bc06162187cc5bb0eaf110f19e5c8601aea17771d6848ab8f88507119d687/broward-county-public-schools-scales-microsoft-365-copilot-and-copilot-studio-at-district-wide-k-12-level</guid>
    <description>Broward County Public Schools deployed 20,000 Microsoft 365 Copilot licenses across its Microsoft 365 ecosystem for teachers, administrators, and staff, while enabling students to build chatbots and custom agents with Copilot Studio. The district used Copilot to reclaim educator time, distill board materials, create agendas, and turn administrative data into real-time insights through an overtime dashboard; it also linked AI adoption to districtwide operational efficiency and student support.</description>
    <category>Education</category>
    <pubDate>Sun, 12 Jul 2026 13:16:53 GMT</pubDate>
  </item>
  <item>
    <title>Gina Tricot: Gina Tricot: enterprise data warehouse with BigQuery and AI-driven forecasting to improve revenue and inventory decisions</title>
    <link>https://www.aiusecasehub.com/case/9c20f2cf258e8dbc187c48ca62b52c71875c4855e08ee6f86ccb87b720250c15/gina-tricot-enterprise-data-warehouse-with-bigquery-and-ai-driven-forecasting-to-improve-revenue-and-inventory-decisions</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/9c20f2cf258e8dbc187c48ca62b52c71875c4855e08ee6f86ccb87b720250c15/gina-tricot-enterprise-data-warehouse-with-bigquery-and-ai-driven-forecasting-to-improve-revenue-and-inventory-decisions</guid>
    <description>Gina Tricot unified fragmented customer, transactional, marketing, inventory and revenue data into a BigQuery enterprise data warehouse to create a single source of truth for decision-making. Looker and Looker Studio gave non-technical users self-service access to consistent metrics, while BigQuery ML supported regression modeling for sales trend analysis and inventory forecasting.</description>
    <category>Retail</category>
    <pubDate>Sun, 12 Jul 2026 07:16:02 GMT</pubDate>
  </item>
  <item>
    <title>Adani Green Energy Limited: Adani Green Energy builds AI-powered project governance on Microsoft Power Platform and Copilot Studio</title>
    <link>https://www.aiusecasehub.com/case/1d15a305f5a881534e954e8419ceddec26e733800587d32c2b5cfb2c50cf79ff/adani-green-energy-builds-ai-powered-project-governance-on-microsoft-power-platform-and-copilot-studio</link>
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    <description>Adani Green Energy Limited built Digital Canvas app on Microsoft Power Platform to centralize project oversight, financial tracking, reporting and stakeholder collaboration. The company extended the platform with AI-powered agents using Microsoft Copilot Studio to embed project summaries, BRD creation, newsletter generation and risk/status reporting into daily workflows.</description>
    <category>Energy &amp; Utilities</category>
    <pubDate>Sun, 12 Jul 2026 07:00:35 GMT</pubDate>
  </item>
  <item>
    <title>Albertsons Companies: Albertsons Companies automates produce quality inspections using Gemini Enterprise Agent Platform and Vision AI</title>
    <link>https://www.aiusecasehub.com/case/67a01cf76fc4904cc438bb2788fbc43da741fe91db4523ca4af49c077b602c10/albertsons-companies-automates-produce-quality-inspections-using-gemini-enterprise-agent-platform-and-vision-ai</link>
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    <description>Albertsons Companies created a unified inventory data foundation with BigQuery across stores, distribution centers, and vendor orders. The company used Gemini Enterprise Agent Platform to compare and standardize recipes company-wide so it could automate ordering, and deployed an Intelligent Quality Control solution with Vision AI to inspect produce at distribution centers and score items against quality standards. The goal was faster, more consistent produce decisions, fresher products for customers, and better supply chain optimization.</description>
    <category>Retail</category>
    <pubDate>Sun, 12 Jul 2026 06:46:03 GMT</pubDate>
  </item>
  <item>
    <title>Bank of Georgia: Bank of Georgia accelerates modernization and experiments with generative AI on AWS</title>
    <link>https://www.aiusecasehub.com/case/5c4dc595f8b3d453c52631b6dac86828b67abd27056cee4335d28cf3efa0536e/bank-of-georgia-accelerates-modernization-and-experiments-with-generative-ai-on-aws</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/5c4dc595f8b3d453c52631b6dac86828b67abd27056cee4335d28cf3efa0536e/bank-of-georgia-accelerates-modernization-and-experiments-with-generative-ai-on-aws</guid>
    <description>Bank of Georgia migrated to AWS to modernize a monolithic architecture into microservices, improve performance and scalability, and accelerate innovation for its 2.2 million customers. The bank also began experimenting with generative AI using Amazon SageMaker AI and used Amazon OpenSearch Service for search and analytics, while adopting managed services, infrastructure as code, and AWS Direct Connect to support compliance and low latency.</description>
    <category>Finance</category>
    <pubDate>Sun, 12 Jul 2026 06:31:03 GMT</pubDate>
  </item>
  <item>
    <title>Lottoland: Lottoland Breaks Language Barriers with AI-Powered Service</title>
    <link>https://www.aiusecasehub.com/case/1f2c45c1d173c2ffea4ff3a514480d79567d75626001e79757a3ce951bc3e711/lottoland-breaks-language-barriers-with-ai-powered-service</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/1f2c45c1d173c2ffea4ff3a514480d79567d75626001e79757a3ce951bc3e711/lottoland-breaks-language-barriers-with-ai-powered-service</guid>
    <description>Lottoland is a world-leading lotto and gaming operator serving more than 21 million customers across 15 international markets. The company needed multilingual customer support that worked around the clock and reduced manual routing, handling times, and agent workload. Boxfusion and Lottoland built a Gen-AI Oracle chatbot integrated into Oracle Service, Agent Live Chat, and Incident Translation to provide multilingual self-service, real-time agent guidance, and automated data collection before escalation.</description>
    <category>Consumer &amp; Food</category>
    <pubDate>Sun, 12 Jul 2026 06:17:19 GMT</pubDate>
  </item>
  <item>
    <title>SEP2: SEP2 builds interconnected cybersecurity agents with Gemini Enterprise Agent Platform</title>
    <link>https://www.aiusecasehub.com/case/4dc08614e00c7ec68f87c26852202d81384f4f36cde577a90453cc0690b0b99e/sep2-builds-interconnected-cybersecurity-agents-with-gemini-enterprise-agent-platform</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/4dc08614e00c7ec68f87c26852202d81384f4f36cde577a90453cc0690b0b99e/sep2-builds-interconnected-cybersecurity-agents-with-gemini-enterprise-agent-platform</guid>
    <description>SEP2 uses Gemini Enterprise Agent Platform to deploy custom AI agents for faster triage and enhanced threat detection capabilities. In its UK-based security operations center, SEP2 was facing growing log volumes and a manual bottleneck because analysts spent up to 20 minutes manually checking firewalls, endpoints, and threat feeds for each event. SEP2 built an ecosystem of interconnected agents with distinct personas, including triage agents and threat intelligence agents, to gather and summarize multi-step threat context for human review. The approach integrates Google Security Operations and supports rapid iteration of new rules and external feed integrations.</description>
    <category>Public Sector</category>
    <pubDate>Sun, 12 Jul 2026 06:00:36 GMT</pubDate>
  </item>
  <item>
    <title>BNB Chain: BNB Chain reduces AI agent deployment to under 15 minutes with Amazon Bedrock AgentCore</title>
    <link>https://www.aiusecasehub.com/case/2c93ea9d1df9186864ec4e94c0fc17dfc0bb87b2547c30548edf3df1028aa532/bnb-chain-reduces-ai-agent-deployment-to-under-15-minutes-with-amazon-bedrock-agentcore</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/2c93ea9d1df9186864ec4e94c0fc17dfc0bb87b2547c30548edf3df1028aa532/bnb-chain-reduces-ai-agent-deployment-to-under-15-minutes-with-amazon-bedrock-agentcore</guid>
    <description>BNB Chain built BNB Agent Studio on AWS using Amazon Bedrock AgentCore to give developers a secure, managed runtime for AI agents. The platform helps developers deploy persistent, globally accessible on-chain agents that are no longer tied to a single machine. It also supports on-chain identity and payment capabilities for agents, which previously required specialist Web3 skills and lengthy manual setup.</description>
    <category>Tech &amp; Comms</category>
    <pubDate>Sun, 12 Jul 2026 05:46:05 GMT</pubDate>
  </item>
  <item>
    <title>Grupo Bafar: Grupo Bafar saves sales executives three hours daily using Vertex AI agents and BigQuery-based data lake</title>
    <link>https://www.aiusecasehub.com/case/0add532e56132b7e0f7189f284f45ed183a191ccaa6d3737ff29914efbe3be07/grupo-bafar-saves-sales-executives-three-hours-daily-using-vertex-ai-agents-and-bigquery-based-data-lake</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/0add532e56132b7e0f7189f284f45ed183a191ccaa6d3737ff29914efbe3be07/grupo-bafar-saves-sales-executives-three-hours-daily-using-vertex-ai-agents-and-bigquery-based-data-lake</guid>
    <description>Grupo Bafar unified previously disparate ERP, transaction, SAP, Salesforce, and other sources into a BigQuery-based data lake using the Cortex Framework. The company built Vertex AI agents to help retail employees review complex dashboards and monitor sales, profit, and SKU performance. The same data foundation also supports marketing workflows by consuming transactional information directly from the data lake and tracking campaign performance in Looker.</description>
    <category>Consumer &amp; Food</category>
    <pubDate>Sun, 12 Jul 2026 05:31:04 GMT</pubDate>
  </item>
  <item>
    <title>Synthesia: Synthesia: AI video platform using Veo 3, Gemini Enterprise Agent Platform, Nano Banana, and TTS/Translation for localization</title>
    <link>https://www.aiusecasehub.com/case/245fe03c97feb2ffdcb540b2d3ee7b83acc7b32afcc62dccb0152b7016ccbe7c/synthesia-ai-video-platform-using-veo-3-gemini-enterprise-agent-platform-nano-banana-and-tts-translation-for-localization</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/245fe03c97feb2ffdcb540b2d3ee7b83acc7b32afcc62dccb0152b7016ccbe7c/synthesia-ai-video-platform-using-veo-3-gemini-enterprise-agent-platform-nano-banana-and-tts-translation-for-localization</guid>
    <description>Synthesia integrates multiple Google Cloud AI models through Gemini Enterprise Agent Platform to generate custom visual assets, automatic infographics, video tagging, and large-scale localization. The company positions Google Cloud as a stable AI ecosystem that avoids repeated API rewrites and workflow reconfiguration while it expands AI video creation and future interactive media.</description>
    <category>Tech &amp; Comms</category>
    <pubDate>Sun, 12 Jul 2026 05:01:09 GMT</pubDate>
  </item>
  <item>
    <title>Nextory: Nextory modernizes media processing with agentic AI on Google Cloud</title>
    <link>https://www.aiusecasehub.com/case/1f199b4040b3d3dfe31e4b3d1382f50364f15c7f21c004529aa6a9c532c1aac3/nextory-modernizes-media-processing-with-agentic-ai-on-google-cloud</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/1f199b4040b3d3dfe31e4b3d1382f50364f15c7f21c004529aa6a9c532c1aac3/nextory-modernizes-media-processing-with-agentic-ai-on-google-cloud</guid>
    <description>Nextory worked with Google Cloud to map, analyze, and modernize its media processing system using agentic AI. The streaming platform used Google Cloud tools to reverse-engineer legacy Ruby code, prototype replacement architectures, and rebuild ingestion so it could handle large publishing back catalogs more quickly and scalably.</description>
    <category>Tech &amp; Comms</category>
    <pubDate>Sun, 12 Jul 2026 04:31:05 GMT</pubDate>
  </item>
  <item>
    <title>BeeKeeperAI: BeeKeeperAI EscrowAI: secure agentic AI validation on protected healthcare data using Azure Confidential Computing and Confidential Ledger</title>
    <link>https://www.aiusecasehub.com/case/38b9ec92711fbf346ddb2ad468e1cdfd89060495ab1b038cef53965c1ac96168/beekeeperai-escrowai-secure-agentic-ai-validation-on-protected-healthcare-data-using-azure-confidential-computing-and-confidential-ledger</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/38b9ec92711fbf346ddb2ad468e1cdfd89060495ab1b038cef53965c1ac96168/beekeeperai-escrowai-secure-agentic-ai-validation-on-protected-healthcare-data-using-azure-confidential-computing-and-confidential-ledger</guid>
    <description>Healthcare organizations and AI developers face persistent barriers to validating and deploying AI because access to sensitive data is limited by governance, privacy, cybersecurity, and intellectual property concerns. BeeKeeperAI developed EscrowAI on Microsoft Azure to create a governed collaboration model in which encrypted models and encrypted datasets interact only inside Trusted Execution Environments. EscrowAI enables protected AI workloads, including machine learning, analytics, large language models, and agentic AI, to execute against sensitive datasets while remaining inside the data custodian&apos;s Azure environment.</description>
    <category>Healthcare</category>
    <pubDate>Sun, 12 Jul 2026 04:16:03 GMT</pubDate>
  </item>
  <item>
    <title>NHS Property Services: NHS Property Services builds AI agent and operational automation with Power Platform and Copilot Studio</title>
    <link>https://www.aiusecasehub.com/case/3863fb070a84dd9db053771dc666305d66f1a9b23bd58d89ea8293004ca4c38e/nhs-property-services-builds-ai-agent-and-operational-automation-with-power-platform-and-copilot-studio</link>
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    <description>NHS Property Services (NHSPS) maintains properties for the NHS and has used Microsoft Power Platform to develop more than 300 apps for estate-management workflows. The organization built mobile apps for scheduling, completing, and tracking onsite inspections, used Dataverse offline capability for weak connectivity, and created a Copilot Studio agent connected to SharePoint to help customer service staff answer tenant questions faster.</description>
    <category>Healthcare</category>
    <pubDate>Sun, 12 Jul 2026 04:01:59 GMT</pubDate>
  </item>
  <item>
    <title>VOGSY: VOGSY adds Gemini AI Assistant to improve lead-to-cash for project-based firms</title>
    <link>https://www.aiusecasehub.com/case/06dadc54959db6b45b03a5d5b8c0f55c6226e2e6ea86daaa050c5ffffaf7d2a5/vogsy-adds-gemini-ai-assistant-to-improve-lead-to-cash-for-project-based-firms</link>
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    <description>VOGSY is a cloud ERP platform for project-based, internationally operating firms that manages the full lead-to-cash cycle across currencies and countries. The company built its ERP entirely on Google Cloud and added AI Assistant capabilities to improve data quality and project health. The platform has maintained zero downtime since inception and is expanding its AI-driven roadmap with project risk prediction and budget forecasting.</description>
    <category>Professional Services</category>
    <pubDate>Sun, 12 Jul 2026 03:46:00 GMT</pubDate>
  </item>
  <item>
    <title>Space Armour: Space Armour: building an in-orbit AI engine and Agent Payment Protocol integration on GKE with Gemini</title>
    <link>https://www.aiusecasehub.com/case/76250e0f97bfe3b9793410adf14beb2a0bb12977e34c6f78e5e4cde9fca3d075/space-armour-building-an-in-orbit-ai-engine-and-agent-payment-protocol-integration-on-gke-with-gemini</link>
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    <description>Space Armour is a Singapore-based space technology startup building autonomous AI systems for orbital environments. The company built an integrated edge AI platform for deployment on NVIDIA Jetson, combining an AI engine, a blockchain node to cryptographically record AI inferences, and a security gateway. It hosts the solution on Google Cloud to deploy Gemini and Gemma models, use Cloud GPUs, and run the platform on Google Kubernetes Engine (GKE).</description>
    <category>Tech &amp; Comms</category>
    <pubDate>Sun, 12 Jul 2026 03:31:06 GMT</pubDate>
  </item>
  <item>
    <title>Lavu: Lavu built Marty AI on Amazon Bedrock to automate cash recovery for multi-location restaurants</title>
    <link>https://www.aiusecasehub.com/case/54c351a8b5910931d70cda1406be3b4ce1ae693bf479f754ed081eca173d143d/lavu-built-marty-ai-on-amazon-bedrock-to-automate-cash-recovery-for-multi-location-restaurants</link>
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    <description>Lavu built Marty AI on Amazon Bedrock to automate cash recovery for multi-location restaurants. The system reviews restaurant data from POS, labor, inventory, reservation, and other systems, verifies figures with Python against source files, and uses Anthropic&apos;s Claude in Amazon Bedrock to analyze validated numbers and generate plain-language guidance for operators.</description>
    <category>Consumer &amp; Food</category>
    <pubDate>Sun, 12 Jul 2026 03:16:03 GMT</pubDate>
  </item>
  <item>
    <title>KOHO: KOHO: Generative AI on Amazon Bedrock for credit underwriting and fraud detection</title>
    <link>https://www.aiusecasehub.com/case/95f685f9f451712d629d37a00337623916f7616c2414c9711d66e292cc603ac7/koho-generative-ai-on-amazon-bedrock-for-credit-underwriting-and-fraud-detection</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/95f685f9f451712d629d37a00337623916f7616c2414c9711d66e292cc603ac7/koho-generative-ai-on-amazon-bedrock-for-credit-underwriting-and-fraud-detection</guid>
    <description>KOHO rebuilt credit infrastructure to assess credit-invisible customers using behavioral data such as rent, utility, and phone payment records. The company built Kortex AI on Amazon Bedrock to extract behavioral insight for underwriting and used AI screen detection to reduce account takeovers.</description>
    <category>Finance</category>
    <pubDate>Sun, 12 Jul 2026 03:01:02 GMT</pubDate>
  </item>
  <item>
    <title>Arrive: Arrive builds Gemini AI orchestration layer for post-merger integration with faster onboarding and proposals</title>
    <link>https://www.aiusecasehub.com/case/d5c734ea15c9a6460b41a7aa7013d6680cdd9ccdf1cff4e22849b6af82d0a12e/arrive-builds-gemini-ai-orchestration-layer-for-post-merger-integration-with-faster-onboarding-and-proposals</link>
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    <description>Arrive, a global mobility company, used Gemini Enterprise and Gemini Enterprise Agent Platform with Agent Search to build an AI-driven orchestration layer across siloed HR, CRM, and messaging systems after multiple M&amp;A activities. The agent, Aria, queries live backend sources and returns grounded answers through a single conversational interface, with prompt engineering and automated logging plus employee feedback used to tune performance as new systems are added.</description>
    <category>Other</category>
    <pubDate>Sun, 12 Jul 2026 02:46:01 GMT</pubDate>
  </item>
  <item>
    <title>International Olympic Committee: Milano Cortina 2026 (IOC &amp; organizing committee): Qwen-powered intelligent chatbot and AI systems on Alibaba Cloud</title>
    <link>https://www.aiusecasehub.com/case/351e020199fcdcac58dba86ae5a83fad4ba391504574ebcbe01c7e9e92d70951/milano-cortina-2026-ioc-organizing-committee-qwen-powered-intelligent-chatbot-and-ai-systems-on-alibaba-cloud</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/351e020199fcdcac58dba86ae5a83fad4ba391504574ebcbe01c7e9e92d70951/milano-cortina-2026-ioc-organizing-committee-qwen-powered-intelligent-chatbot-and-ai-systems-on-alibaba-cloud</guid>
    <description>The International Olympic Committee and the Milano Cortina 2026 organizing committee used Alibaba Cloud and Qwen models to support energy monitoring, transportation operations, broadcasting, and AI-assisted fan and staff experiences during the Winter Games. The deployment included an intelligent chatbot for energy insights, workflow automation for energy issues, cloud video production and replay systems, and Qwen-powered assistants for multilingual search and engagement.</description>
    <category>Public Sector</category>
    <pubDate>Sun, 12 Jul 2026 02:16:02 GMT</pubDate>
  </item>
  <item>
    <title>Animal Protection Denmark: Animal Protection Denmark unifies data and pilots AI chatbots with Copilot Studio</title>
    <link>https://www.aiusecasehub.com/case/fd6fd322a9ad8a725948a2916b1c2832fa2387b468c2fab780dac27fb93c3e6e/animal-protection-denmark-unifies-data-and-pilots-ai-chatbots-with-copilot-studio</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/fd6fd322a9ad8a725948a2916b1c2832fa2387b468c2fab780dac27fb93c3e6e/animal-protection-denmark-unifies-data-and-pilots-ai-chatbots-with-copilot-studio</guid>
    <description>The Danish nonprofit Animal Protection Denmark adopted Microsoft Fabric to unify its data foundation and provide a single source of truth across teams. Power BI visualizes the data for immediate insights, while Dynamics 365 tracks contacts for both human supporters and animals. The organization is also testing Microsoft Copilot Studio chatbots integrated with Dynamics 365 Contact Center to support membership generation and faster crisis response.</description>
    <category>Other</category>
    <pubDate>Sun, 12 Jul 2026 02:02:17 GMT</pubDate>
  </item>
  <item>
    <title>University of Toronto: Logan: Unlocking nature&apos;s secrets to fight microplastic pollution</title>
    <link>https://www.aiusecasehub.com/case/9f4958f148c1b6b53ff8dacccb762dbdc1996e68dd165f7bfdd479590e1c2f47/logan-unlocking-nature-s-secrets-to-fight-microplastic-pollution</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/9f4958f148c1b6b53ff8dacccb762dbdc1996e68dd165f7bfdd479590e1c2f47/logan-unlocking-nature-s-secrets-to-fight-microplastic-pollution</guid>
    <description>Artem Babaian and the University of Toronto’s Donnelly Centre Laboratory for RNA-Based Lifeforms built Logan, an open-source searchable index of the world’s public DNA/RNA sequencing data, to make massive genomic datasets searchable at global scale. The team used AWS infrastructure to process and index 39 million sequencing datasets, then applied Amazon Bedrock models to identify which environments protein sequences are found in and shortlist promising plastic-degrading enzyme candidates. The workflow aims to accelerate discovery and testing of enzymes that could help address microplastic pollution and other scientific problems.</description>
    <category>Healthcare</category>
    <pubDate>Sun, 12 Jul 2026 01:46:01 GMT</pubDate>
  </item>
  <item>
    <title>Tiger Brokers Singapore: Tiger Brokers builds secure, high-performance trading communications and data operations on Alibaba Cloud</title>
    <link>https://www.aiusecasehub.com/case/fd1b657d7c658420a4e9d1cf0722f0d67867adf828dc8ea87a6190479e8b1e38/tiger-brokers-builds-secure-high-performance-trading-communications-and-data-operations-on-alibaba-cloud</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/fd1b657d7c658420a4e9d1cf0722f0d67867adf828dc8ea87a6190479e8b1e38/tiger-brokers-builds-secure-high-performance-trading-communications-and-data-operations-on-alibaba-cloud</guid>
    <description>Tiger Brokers Singapore, part of UP Fintech Holding Limited, needed a highly secure infrastructure across network, systems, database, monitoring, and mailing layers. The brokerage also needed low-latency, high-performance networking to support thousands or millions of concurrent trades and reduce the risk of losses from network delays. Alibaba Cloud services were used for access control, network acceleration, database stability, log analysis, and instant client communications.</description>
    <category>Finance</category>
    <pubDate>Sun, 12 Jul 2026 01:31:06 GMT</pubDate>
  </item>
  <item>
    <title>ViClinic: Agentic AI streamlines healthcare workflows - IBM</title>
    <link>https://www.aiusecasehub.com/case/49ead2714c09a79b6266c9d45409e0e4981bff41ac29892f613c6c6bd282ef3d/agentic-ai-streamlines-healthcare-workflows-ibm</link>
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    <description>ViClinic, a healthcare technology company, set out to streamline end-to-end care workflows across intake, documentation, authorization, care coordination, pre-authorization, coding, billing, and follow-up. The company wanted to reduce administrative burden and avoid delayed or denied claims without compromising clinical decision-making or compliance. IBM watsonx Orchestrate was used to embed governed agentic AI into healthcare workflows with human oversight and auditability.</description>
    <category>Healthcare</category>
    <pubDate>Sun, 12 Jul 2026 01:16:02 GMT</pubDate>
  </item>
  <item>
    <title>Coca-Cola Andina: Coca-Cola Andina builds an HR assistant with Microsoft Copilot Studio (agentic HR support)</title>
    <link>https://www.aiusecasehub.com/case/201ca139a04a5ad66cb2279b47bdbf24567e9ab4f4b27263d21d7abe27b75bdd/coca-cola-andina-builds-an-hr-assistant-with-microsoft-copilot-studio-agentic-hr-support</link>
    <guid isPermaLink="true">https://www.aiusecasehub.com/case/201ca139a04a5ad66cb2279b47bdbf24567e9ab4f4b27263d21d7abe27b75bdd/coca-cola-andina-builds-an-hr-assistant-with-microsoft-copilot-studio-agentic-hr-support</guid>
    <description>Coca-Cola Andina built an AI-powered HR assistant called Andi for its Argentinian operation. The agent uses Microsoft Copilot Studio, Microsoft Entra ID, SharePoint, Power Automate, Power Apps, and the Direct Line API for WhatsApp publishing. Employees can ask personalized HR questions and escalate to HR through a ticketing workflow.</description>
    <category>Consumer &amp; Food</category>
    <pubDate>Sun, 12 Jul 2026 01:01:01 GMT</pubDate>
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