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/back-office-automation
Back-office automation▌
The routine ops work runs itself; humans handle the exceptions.
opsreconciliationsyncworkflows
the problem
Your back office runs on manual, repetitive work — reconciliations, cross-system updates, data moves between tools. It’s the quiet tax on every growing operation.
how agents fix it
Agents run the routine: reconcile records, sync data across systems, flag anomalies for review. The work gets done on schedule, and humans only touch what genuinely needs a decision.
$ ls ./outcomes --long
What you get
-> reconciliations and syncs run on schedule
-> cross-system data moves without copy-paste
-> anomalies flagged, not missed
$ # ready to scope this in your stack?▌
-> cross-system data moves without copy-paste
-> anomalies flagged, not missed
$ # 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.