Celebal Technologies powers 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Documented deployments include AI agents, copilots.
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Use Cases
2
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Agent Cases
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Filter Celebal Technologies's implementations by cloud provider evidence.
How Celebal Technologies builds AIBuild, Buy & Compose — what they mean
Celebal Technologies, an India-based AI and Data partner, collaborates with Microsoft to empower enterprises globally, including in Germany and the US, to integrate AI-driven domain-specific agentic solutions within legacy ERP and MES systems.By leveraging Microsoft Azure AI Foundry, Microsoft 365 Copilot, and Azure Cloud technologies, Celebal Tech has developed persona-based AI agents that deliver real-time insights and decision support for manufacturing operations roles such as plant and supply chain managers.Their solution combines AI Foundry's orchestration, observability, and governance capabilities to ensure traceability and efficacy, providing a governed, explainable agentic economy rather than commoditized AI.
Microsoft partners including Celebal Technologies, Neudesic, Wipro, and EY are leveraging Microsoft Azure AI, Cognitive Services, Azure OpenAI, and Azure Machine Learning to automate and enhance business processes for organizations globally, with a focus on industries in Poland and around the world. Celebal Technologies developed generative AI solutions to automate loan processing, pharmacy inventory management, and created AI-powered educational tools, significantly improving operational outcomes and education metrics. Neudesic’s Document Intelligence Platform automated invoicing and document management for clients such as Animal Supply Co., delivering substantial cost and productivity benefits. Wipro helped manufacturing, retail, and utility companies unlock the value of organizational data, optimize pricing, and modernize legacy systems using Azure-based analytics and automation solutions. EY applied Microsoft AI to automate over 250 processes globally, especially in payroll, saving millions of work hours. These implementations have resulted in faster document processing, improved data-driven decision-making, operational cost savings, and enhanced customer experiences.