Context engineering is the practice of supplying an AI system with the right data, definitions, and institutional knowledge it needs to produce accurate, business-specific answers and actions.
How it works
Rather than only refining prompts, context engineering assembles the entity definitions, relationships, business rules, documents, and live data an AI model should reason over — and delivers the right slice of it at the right moment. It treats a company’s accumulated knowledge as a durable, reusable asset the AI can draw on.
Why it matters for enterprise AI
A general model knows the world but not your business. Context is what makes AI answers correct for your organisation — and, unlike a model, it is something you own and that compounds over time. It is the difference between a generic assistant and one that understands how your company actually works.
