The challenge
Creating high-quality business glossary definitions manually was slow, inconsistent and difficult to scale across thousands of enterprise data assets.
Generative AI / Data Governance
Generative AI Data Glossary Automation
A GenAI workflow that generates and standardizes enterprise glossary definitions from technical metadata and business context.
Role
AI Engineer
Context
Global Supply Chain Enterprise
Period
2023–2026
What I built
Built a controlled LLM workflow that used technical metadata and business context to draft glossary definitions, with structured output, guardrails and review steps before publication.
Architecture
- Metadata-to-prompt transformation
- Structured LLM outputs
- Terminology and style guardrails
- Human review workflow
- Integration with enterprise governance processes
Outcomes
- Approximately £920K in estimated savings
- Approximately 4,500 person-hours saved
- More consistent glossary definitions at enterprise scale
Technology
PythonLLMsPrompt EngineeringStructured OutputsData Governance