Case Study
Implementing an AI Assistant for Internal Knowledge Retrieval
Employees at the company struggled to find the right information quickly, often searching across multiple sources.
The process was slow and inefficient, making it harder to access relevant documentation when needed.
To address this, the client requested to test whether an AI Assistant could simplify company knowledge retrieval.
Approach
Grape Up consultants kicked off the project with a 12-week Proof of Concept to see if an AI Assistant powered by open-source LLMs could effectively handle internal company data.
The team used an RAG approach, leveraging internal documents to provide relevant context to the assistant so it could respond with answers based on real company knowledge.
To validate the approach, the company ran several rounds of user testing to see how the assistant performed in real scenarios and to ensure the responses were accurate, relevant, and genuinely helpful.
Outcome
The AI Assistant has become a valuable part of the company’s internal toolkit, streamlining how employees access knowledge across multiple resources.
Automating documentation search significantly reduces the time spent digging through internal systems, making everyday workflows faster and more efficient.
With intuitive search, real-time feedback, and space-specific filtering, the AI Assistant adapts to how employees work. It offers a smooth, familiar way to find the information they need without disrupting their flow.