$ bh run ./use-cases/lead-qualification

Lead qualification

Score, enrich and qualify every inbound lead before your team spends a minute.

salescrmenrichmentscoring
problem.txt

the problem

Sales chases leads that were never a fit. Your CRM fills with dead ends while genuinely warm prospects wait for a reply.

fix.sh

how agents fix it

Agents research each inbound lead, enrich it with firmographic and intent data, and score it against your ideal customer profile. Warm leads get routed to a human; the rest get a graceful, on-brand follow-up.

$ ls ./outcomes --long

What you get

outcomes.log
-> enriched, researched lead profiles on arrival
-> scored pipeline ranked by fit and intent
-> handoff only the leads worth a call
$ # 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
back-office-automation.md

Back-office automation

drwxr-x— ./use-cases/back-office-automation

The routine ops work runs itself; humans handle the exceptions.

  • reconciliations and syncs run on schedule
  • cross-system data moves without copy-paste
read the case

$ 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.