Automated Enterprise Document Field Extraction
Mahou San Miguel's Generative AI department identified a strategic need to evolve from developing ad-hoc projects to industrializing AI solutions. The challenge was to create a centralized, scalable solution to manage transactional documents (invoices, orders, delivery notes) capable of serving multiple user types (such as distributors) with different information requirements and specific access permissions, avoiding the creation of development silos.
We implemented Nexus AI, a native Azure platform powered by a two-stage Generative AI pipeline. First, an engine based on Large Language Models (LLMs) exhaustively extracts and structures all information from documents, regardless of their format. Subsequently, an API with a business logic layer acts as an intelligent filter, serving applications only the specific data authorized for their profile, ensuring both security and relevance.
The implementation transformed a manual process into a reusable strategic asset, allowing future projects to connect to the same central API and drastically reducing development time and costs. Operational efficiency was improved by eliminating manual searches, data governance was reinforced through granular access controls, and a "single source of truth" was established for agile, error-free decision-making.
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AI-Driven B2B Lead Prioritization
