Beyond RAG: Build the Context Layer Enterprise AI Needs to Scale

Learn why out-of-the-box RAG stalls after the pilot, and how ontologies, business logic, and a truth layer give enterprise AI the context it needs to scale.

[ Overview ]

What You’ll Learn

Why out-of-the-box RAG struggles to scale: chunking loses context, raw documents miss the business context around them, and semantic similarity is a poor measure of relevance
The three pillars of AI-ready knowledge: structure optimized for AI, business context, and ongoing quality assurance
How ontologies and digital twins encode business logic, such as the relationships between products, intents, and procedures, so AI pulls the right document instead of guessing
How to start small with one use case, keep subject matter experts in the loop, and automate quality checks for conflicting and outdated content before scaling across the organization

“Everyone has access to the same models. But knowledge and data is something proprietary, something completely specific to you and your organization. “

– Jan Stihec, Director of Data & Analytics, Shelf

See how a context layer makes enterprise AI reliable.

From chunking that loses context to ontology-driven digital twins: hear Jan from Shelf and Kent from Graphwise explain how to model business logic, keep knowledge accurate, and show early wins before scaling AI across the organization.

[ Quotes ]

What our customers say

“The Shelf solution is superb! We achieved a 25% reduction in average handling time in the first three months of going live with Shelf.”

“Overall, Shelf has been fantastic and the integration into our CCaaS environment was quick and easy. Some of my favorite functionalities are Answer Assist, the ability to integrate with a chatbot, search functionality inside of documents, and the multi-language capabilities.”

“Shelf has provided us with a solution to our knowledge needs. We now have a single source of truth that our advisors can look to when helping customers. Shelf is easy to use for both advisors and administrators, and we’ve seen improvements in a number of metrics since implementation.”

“I have been using Shelf for a long time and I am extremely impressed with its knowledge management and content organization capabilities. The product greatly reduces time and improves efficiency because there is no confusion about outdated or incorrect material.”

“Shelf is even better than expected, and it’s great to be surprised like that. Usually it’s the opposite. Search Copilot reduced handle time on our email queue by 80%!”