A $4B industrial conglomerate needed pipeline. The system found 1,181 opportunities.
One AI system for opportunity identification and qualification, built into production and run across three divisions.
1,181
Qualified opportunities across 3 divisions in 6 months
32x
Monthly volume ramp, from 19 to 613
631+
Generated sales playbooks
01 / 04
The situation
$4B
Industrial conglomerate, 16 divisions, 70+ facilities
A $4B industrial conglomerate ran 16 divisions across 70+ facilities. Sales teams worked in silos with no shared market intelligence. Prospecting was manual and untethered from what the company could actually make. Cross-sell opportunities between divisions were invisible.
Leadership had no unified view of where capital projects were happening or where the white space was. Pipeline depended on individual effort. The company needed one system, and chose three divisions to run it first.
02 / 04
What was built
10–14
Weeks from kickoff to production
ClearForge built an AI system for opportunity identification and qualification. It went from kickoff to a live production system in 10 to 14 weeks.
The system watched capital projects and industrial demand signals across 20+ states, matched each opportunity to the company's actual product lines and territories, and generated a rep-ready playbook for each account. Sales feedback on every playbook fed back into the scoring.
It shipped with an eval harness and reliability gates. Outputs were checked against a test set before release. All three divisions worked from the same system.
03 / 04
Results
6
Months of measured output
The system found 1,181 qualified opportunities across 3 divisions in 6 months, at a 99.8% match rate to the client's actual product capabilities. Monthly volume ramped 32x, from 19 to 613, as the scoring calibrated.
It also generated 631+ sales playbooks, one for each account the teams pursued.
| Metric | Value |
|---|---|
| Qualified opportunities | 1,181 |
| Match rate to actual product capabilities | 99.8% |
| Monthly volume, start | 19 |
| Monthly volume, after ramp | 613 |
| Ramp multiple | 32x |
| Generated sales playbooks | 631+ |
04 / 04
How adoption was run
70%
Weekly-active adoption bar by day 90
Adoption ran on the Adoption Mile. A named operator owned it. The teams met on a weekly working cadence. A live adoption scoreboard tracked weekly-active use.
The engagement was built to the 70 percent weekly-active adoption bar by day 90. That is the standard the firm builds to.
Case B
Commercial pipeline rebuilt from zero. 42 targets identified, 31 contacted, 18 quoted, 7 recurring accounts won.
Read the case studyCase C
Ran a portfolio-wide AI diagnostic: 3 companies assessed on one model, 8 priority plays selected, a 12-month execution plan.
Read the case study