Higher education and enterprise
Thousands of pages of policy and process information turned into answers people can actually get.
A higher education institution held its answers in the wrong places: websites, PDF estates, internal systems, and the heads of long-serving staff. We built a retrieval layer over all of it, and specialized assistants per function that answer only from approved institutional content.
The analytics turned out to matter as much as the answers. Once every question is logged, the questions themselves become a management signal about what the institution has failed to explain.
The situation
- Information sat across websites, PDFs, internal systems, and the heads of long-serving staff.
- The same questions arrived every day, in volume, and teams answered each one individually.
- People looking for answers gave up before they found them.
What we built
- Ingestion of websites, document estates, databases, and internal knowledge into a single retrieval layer.
- Specialized assistants per function, each answering only from approved institutional content.
- Escalation to a human where the question falls outside what the content can answer.
- An analytics layer showing what is being asked and where the published information has gaps.
What changed in daily operations
- Answers are available at any hour, in any volume, worded consistently.
- Front-line teams handle the exceptions instead of the repetition.
- The questions themselves became a management signal about what the organization had failed to explain.
Related work
Does this look like your process?
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