$ bh run ./use-cases/data-entry-automation

Data entry automation

Data moves between systems automatically, validated on write.

etlsyncvalidationspreadsheets
problem.txt

the problem

Humans copy data between systems by hand — spreadsheets to CRM, forms to databases, one tool to the next. It’s slow, error-prone, and nobody’s best use of time.

fix.sh

how agents fix it

Agents move data between your tools, validate it on write, and keep an audit trail of every change. Your team stops keying and starts reviewing.

$ ls ./outcomes --long

What you get

outcomes.log
-> zero manual re-keying across systems
-> validation on every write
-> a complete audit trail, by default
$ # 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.