Case study · Enterprise knowledge
Summary Bot
Ask questions of your own documents.
- Product
- Summary Bot
- Service
- Design and development
- Sector
- Enterprise knowledge
- Built by
- Wow Labz
At a glance
What it does
Users upload their own documents rather than querying a fixed corpus somebody else assembled.
The bot finds the relevant passages first and answers from them, in context.
The point is removing the read-the-whole-thing step, not summarising it faster.
Built to be applied to internal knowledge bases, research archives and document heavy operations.
The brief
The document you need is findable. The answer inside it is not
Search solved locating a file. It did not solve the part that costs time, which is reading a hundred pages to find the clause, figure or caveat that actually answers your question.
That gap sits under a lot of ordinary work: an operations team checking a contract term, a researcher scanning an archive, anyone confirming what a policy says before acting on it. The information is not missing. It is just buried at a depth nobody has time to reach.
Finding the document was never the hard part.
How it works
Upload, ask, get the passage
Upload
The user supplies their own files, so the corpus is whatever they actually need to interrogate.
Query
A question goes in as a question, in natural language, rather than as keywords to match.
Retrieve
The bot finds the passages that genuinely bear on the question inside the uploaded material.
Answer in context
The response is synthesised from those passages, so the answer is tied to the source rather than generated around it.
The build
A pattern, not a one-off
The interesting design decision is that Summary Bot was built as a reusable pattern rather than a single product. Document question answering has the same shape everywhere it appears — internal knowledge bases, research archives, operations teams drowning in paperwork — and the differences between those cases are in the documents, not the mechanism.
Building it that way is why the same approach turns up elsewhere in the portfolio, most directly in the document intelligence suite delivered for a law firm, where the retrieval layer answers employee questions from the firm's own policy documents.
Stack
What it was built with
Questions
Summary Bot, answered
What is Summary Bot?
A document question answering assistant. Users upload their own files and query them directly, and the bot retrieves the relevant passages and answers in context, with no manual reading of the source material.
Whose documents does it work on?
The user's own. Files are uploaded rather than drawn from a fixed corpus, so the material is whatever that team actually needs to interrogate.
Where is it useful?
Internal knowledge bases, research archives and document heavy operations teams. It was built as a reusable pattern for exactly those cases.
How does it relate to the Al Tamimi HR Bot?
Same underlying pattern. The Al Tamimi suite applies retrieval-then-answer to a law firm's policy documents, delivered inside Microsoft Teams.
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