The numbers are the case study.
Client names are anonymized and every figure below is client-approved. The figures count what the systems produced: pipeline, playbooks, accounts won.
Three cases
A commercial pipeline built from signals, one rebuilt from zero, and a portfolio diagnostic for a sponsor.
Case A · $4B industrial conglomerate
6 months1,181
Qualified opportunities across 3 divisions in 6 months
A $4B industrial conglomerate needed pipeline.
613
Monthly volume in month six, from 19 in month one
631
Generated sales playbooks, at least
Case B · Home and commercial services firm
Four-stage funnelCommercial pipeline rebuilt from zero.
Stage 1
42
Targets identified
42
Targets identified
Stage 2
31
Contacted
31
Contacted
Stage 3
18
Quoted
18
Quoted
Stage 4
7
Recurring accounts won
7
Recurring accounts won
Case C · PE operating team
Scope · Portfolio-wideA PE operating team needed a portfolio view of AI. They left with a prioritized execution plan.
3
Companies assessed on one model
8
Priority plays selected
12
Months in the execution plan
Inbound quote to order
Turns inbound quote requests into structured orders.
Sales playbook generator
Drafts account-specific playbooks from CRM records.
Field service dispatch triage
Sorts incoming service requests and routes each crew.
Portfolio adoption scoreboard
Tracks weekly-active usage across portfolio companies.
Quote desk agent
Drafts quotes from inbound specs for human review.
Eval harness starter
Checks AI outputs against a test set before release.
