AI-powered content modeling and enterprise information architecture

Modernize taxonomies, content models, and metadata for generative AI deployment

Virtusa provides end to end information architecture services that bridge user experience design with underlying data engineering. Our teams organize unstructured content, unify disparate metadata schemas, and extract implicit business logic from legacy applications. By combining user-centric navigation design with machine-readable data structures, Virtusa ensures that enterprise knowledge is discoverable by employees, customers, and AI agents.

AI-driven content modeling and taxonomy development: Modernizes static taxonomies and content types into machine-readable structures. Virtusa builds hierarchical classifications, metadata schemas, and controlled vocabularies that align digital touchpoints with enterprise data assets. This ensures consistent tagging, eliminates content duplication, and supports multi-channel publishing.
Forensic legacy knowledge extraction: Interrogates legacy applications, documentation, and database schemas to uncover hidden operational rules and data relationships. Virtusa utilizes Helio app analyzer and Basecamp capability modeling to translate undocumented legacy logic into technology-agnostic prose and structured data models. This removes developer dependencies and accelerates migration planning.
Generative AI and RAG context engineering: Prepares structured content repositories and enterprise data for generative AI models and retrieval-augmented generation pipelines. Virtusa structures domain documents, ER models, and workflow specifications into Generative Engine Optimization formats. This supplies AI agents and enterprise search engines with hyper-local context to prevent hallucinations and ensure accurate retrieval.
UX and data architecture integration: Bridges user experience frameworks with underlying enterprise data architectures. Virtusa conducts tree testing, card sorting, and journey mapping to design intuitive navigation schemes and search interfaces powered by unified customer and product data. This improves findability across digital workplace platforms and customer portals.

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