Collections Recovery Engine
The same multi-state bail bonds operator: collections division, $38M receivables book
Related engagement: Bail Bonds SaaS Platform, the first engagement with this operator
recovery rate on dormant accounts
Dormant accounts sat at the bottom of the queue. The team worked whatever was newest and most likely to answer, and the aged book received no systematic outreach. Recovery on those accounts was low, not because they were unrecoverable, but because nobody was working them.
BEFORE- Dormant accounts sat at the bottom of the queue
- The team worked whatever was newest, not what was most recoverable
- No systematic outreach on the aged book
- Book segmentation01
- AI outreach02
- Prioritization03
- Recovery04
AI-Driven Outreach
Automated, consistent outreach to dormant accounts.
- Works every account in the aged book instead of waiting on a human queue
- Runs on a consistent cadence without manual triggering
- Logs every touch back to the account record
Account Prioritization
Scores and ranks the dormant book so effort lands where recovery is most likely.
- Ranks dormant accounts by likelihood of recovery
- Reorders the queue as accounts respond
- Concentrates collector attention on ranked accounts, not guesses
The aged book is no longer ignored. Every dormant account gets worked on a systematic cadence, the queue reprioritizes itself as accounts respond, and the team spends its time on the accounts the engine ranks highest.
receivables book covered by the engine
every dormant account worked on a cadence
“It found money we had already written off. The impact was immediate and measurable.”