Document intelligence
drwxr-x— ./use-cases/document-intelligence
Agents that read, extract and structure documents at the scale your team can’t.
- extract fields from thousands of docs in minutes, not weeks
- route contracts by clause, expiry and risk
$ bh run ./use-cases/knowledge-management
Knowledge management▌
Answers live in one place, and agents surface them in context.
ragsearchwikionboarding
the problem
Your organisation’s answers are locked in heads and scattered across docs, wikis and chat history. Onboarding is slow and everyone re-learns the same things.
how agents fix it
Agents index your documents, wikis and past decisions into a single searchable base, then answer questions in context — pulling the right source, every time, with a citation.
$ ls ./outcomes --long
What you get
-> one searchable, cited knowledge base
-> instant, sourced answers for the team
-> onboarding time cut dramatically
$ # ready to scope this in your stack?▌
-> instant, sourced answers for the team
-> onboarding time cut dramatically
$ # ready to scope this in your stack?▌
$ ls ../ --long
Related use cases
Customer support
drwxr-x— ./use-cases/customer-support
First response in seconds, routine tickets resolved without a human.
- instant first response, 24/7
- routine tickets deflected and resolved
Lead qualification
drwxr-x— ./use-cases/lead-qualification
Score, enrich and qualify every inbound lead before your team spends a minute.
- enriched, researched lead profiles on arrival
- scored pipeline ranked by fit and intent
$ grep -R "related" . --no-filename
Related reading
$ book --type discovery --duration 30m --cost $0
Thirty minutes.
Zero dollars. Real answers.
Bring the problem, the half-built prototype, or just the hunch that agents could change how you work. We’ll tell you straight what’s worth building — and what isn’t.
Book a free 30-min discovery call-># no deck, no pressure, no obligation. exit code 0 either way.