$ bh run ./use-cases/report-generation

Report generation

Reports pull their own data and draft themselves, on schedule.

reportinganalyticsdashboardsscheduling
problem.txt

the problem

Weekly and monthly reports are manual copy-paste from a dozen sources. The formatting alone eats an afternoon, every single cycle.

fix.sh

how agents fix it

Agents pull data from your systems on schedule, draft the narrative, and deliver a ready-to-review report. You review and sign off instead of assembling.

$ ls ./outcomes --long

What you get

outcomes.log
-> data pulled automatically from every source
-> a drafted narrative, not a blank page
-> delivered on schedule, every cycle
$ # ready to scope this in your stack?
$ ls ../ --long

Related use cases

document-intelligence.md

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
read the case
customer-support.md

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
read the case
lead-qualification.md

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
read the case
$ 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.