Solutions › AI assistant for finding products and documents
AI assistant for finding products and documents
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An assistant built on published, validated sources to help people reach a product page, an IFU, or a document through natural-language questions.
They know which surgery they're going to perform. They don't know what the product is called.
When does this solution make sense?
| When it makes sense | It's for | It's not for |
|---|---|---|
| A company with a large catalog, with product pages, codes, and documentation already published. | ||
| A company that gets questions the site already answers, but the answers are hard to find. | ||
| Answering clinical questions or recommending a product for a patient. | ||
| A company whose information isn't published or validated yet. In that case, it makes sense to start with the digital catalog. |
How this solution comes together
Most of the work happens before the first question.
Organizing the sources, deciding which ones the assistant uses, and testing it with real questions people in the industry ask.
A direct link to the relevant product page, code, or IFU.
Handoff to someone on the team when the question goes beyond what's published.
A log of questions that shows what people are looking for and what still needs to be published.
FAQ
What happens if the assistant answers something that isn't approved?
The assistant is designed to work only with sources the company has validated and to show the source behind each answer. It's tested with real questions before going live, and its answers are reviewed afterward.
Can it make mistakes?
Yes, like any system. When an answer is wrong, the source or rule that produced it is corrected, and someone on the team reviews the change before the assistant answers again.
Does it answer clinical questions?
No. It helps people find products, product pages, codes, and documents. Clinical questions are referred to the company's team.
What needs to be in place before starting?
Product pages and documents that are published, organized, and validated. If they don't exist yet, the first step is the catalog.