Enterprise AI

Vue.ai to Transform Document Processing and Workflow Automation with Gen AI on Microsoft Azure

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San Francisco, CA — November 12, 2024

Vue.ai, a leading AI orchestration platform, is proud to announce the launch of its Intelligent Document Processing (IDP) solution and workflow automation suite on Microsoft Azure, to deliver AI-powered automation, offering businesses enhanced workflow efficiency and significant cost savings.

Vue.ai integrates Microsoft Azure services including Azure OpenAI Service as well as Cosmos DB, Azure Databases and Azure Virtual Machines to help enterprises to streamline operations. This collaboration combines the best of process automation and Generative AI, traditionally considered separate domains, into a unified, scalable solution.

Transforming Workflows with AI-Powered Automation

Vue.ai’s platform seamlessly integrates advanced AI technology with intuitive, no-code tools, bridging the gap between process automation and Generative AI. This powerful combination accelerates digital transformation, empowering teams across operations, product management, and business functions to harness AI’s full potential. Designed to up skill teams, the platform also offers flexibility in AI model deployment, allowing users to either train and build custom models tailored to their specific needs or leverage a comprehensive library of pre-built use cases enabling rapid deployment within hours instead of the traditional timeline of months or years.

The platform excels at managing complex workflows, efficiently extracting, matching, and verifying documents from diverse data sources. Key Generative AI features further facilitate the creation of intelligent workflows and pre-trained models that handle tedious data tasks, enabling teams to focus on strategic work. With automated data enrichment, Vue.ai builds clean, organised, and de-duplicated data, establishing a single source of truth that stands out in the market. Its Straight Through Processing Engine, utilised by Fortune 500 companies worldwide, has saved thousands of man-hours, accelerated go-live timelines by 4-5 times, reduced manual intervention costs, and increased revenue through enhanced throughput.

A Seamless AI Transformation

“We are excited to bring our Document Automation solution to Azure,” said Yogeshwar Shivshankar, Head of Banking, Finance, & Insurance practice at Vue.ai. “This collaboration with Microsoft enables us to bring rich complex workloads into the cloud and deliver meaningful mission-critical outcomes for businesses, moving them on their AI transformation journey, at a quarter of the time it usually takes.”

“Our collaboration with Vue.ai goes beyond improving workflow efficiency; it allows organisations to rethink how they approach automation. This collaboration combines the power of our Microsoft Azure Cloud and advanced AI capabilities with user-friendly tools to drive significant business results,” said Himani Agrawal, Chief Partner Officer, Microsoft India and South Asia. “By combining Vue.ai’s advanced AI capabilities with Azure OpenAI and infrastructure services, we empower businesses to embrace innovation at scale and cultivate a culture of continuous improvement and agility.”

Through its collaboration with Azure, Vue.ai is transitioning into a domain-agnostic platform, providing AI-enabled automation efficiently and cost-effectively across sectors such as finance, healthcare, and retail. This also marks the initial step in Vue.ai’s ongoing engagement with Microsoft.


For more information about Vue.ai’s IDP solution, visit the listing on Microsoft Azure Marketplace or Vue.ai’s website.

About Vue.ai

Headquartered in San Francisco, Vue.ai is an AI orchestration platform that simplifies AI for enterprises. CIOs and AI leaders globally work with Vue to unlock AI’s full potential. Vue’s architecture equips Data, ML, and Business teams to transform organisations, unlocking cost effective data capabilities, deploying a wide range of models, and automating workflows. Vue empowers marketing, product, business, and technology teams to achieve significant impacts on revenue, efficiency, and cost reduction across industries like Retail, Finance, Insurance, Logistics, and Healthcare.

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