“Partnering with Microsoft’s AI Co-Innovation Lab transformed our document comparison process. What once took hours is now completed in minutes, with far greater accuracy. Their expertise and Azure AI technologies have been instrumental in making our compliance validation faster, easier, and more reliable.” – Lexander Brouwer, GenAI Lead, OMV
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Co-Innovation Challenge

OMV, an Austria-based energy company, is transitioning to become an integrated sustainable chemicals, fuels, and energy provider. One of the company’s key operational challenges was managing manual workflows, including comparing and analyzing complex documents, like tax regulations, codes of conduct, and terms and conditions.

The process was both time-consuming, sometimes taking several hours for one case, and error prone. This created risks for multiple business units and delayed critical processes, limiting OMV’s ability to respond quickly to regulatory or contractual changes.

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With operational demands and document complexity only growing, OMV wanted a scalable, reliable AI solution that would ensure they could keep up with demands, identify any gaps in their documentation, and accelerate decision-making. They partnered with the Microsoft AI Co-Innovation Lab in Munich to develop an agentic AI solution that automates document assessments and provides actionable insights, eliminating unnecessary manual work.

In the Lab

Together in the Munich Lab, our teams built a generative AI-driven document validation system that can retrieve data from documents, compare relevant information from those documents to key policy requirements, identify gaps in information against policies, and generate assessment insights that OMV’s team can use to ensure they are up to date and compliant.

At a high level, the solution does the following:

  1. 1. Extract relevant data from documents using Azure AI Search, which enables fast and accurate retrieval.
  2. 2. Compare documents to predefined requirements using Azure OpenAI Service and advanced large language models (LLMs).
  3. 3. Generate objective assessments, highlighting discrepancies or missing elements—all without manual intervention.
arch
Document validation system solution architecture

The Munich Lab team’s advanced AI skills and deep knowledge of Microsoft tools ensured a scalable, high-accuracy compliance system that will enhance operational efficiency and audit readiness with fully automated, highly objective assessments. By transforming a labor-intensive process into a seamless, data-driven workflow, the solution proves exceptionally well-matched to OMV AG’s complex compliance requirements.

Solution Impact

As they plan for deployment in June 2025, OMV has seen significant impacts from their gen AI-powered document validation system. The system not only eliminates the risk of human error but also accelerates verification, drastically improving accuracy, reliability, and operational efficiency.

The manual document comparison process that used to take 2-4 hours can now be completed in less than 10 minutes, and their error rate and gaps have reduced by over 80% in pilot use cases, enabling OMV to deliver rapid, accurate analysis across the business. Team members have also commented on the platform’s ease of use and the utility of AI-generated insights.

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OMV leveraging the validation system for document comparison

The AI Co-Innovation Labs’ partnership enables OMV’s digital and AI transformation through this solution and future use cases. With the power and reliability of Azure AI technologies and the collaboration between the Lab’s AI experts and OMV’s technical teams, OMV’s is achieving significant operational efficiencies and looking toward opportunities to scale.

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