Connect only the inboxes you authorize.
LeadLeak records the receiving inbox, sender, account, thread timing, and relationship context needed to detect lead movement.
How LeadLeak works
Email becomes a recovery queue, a follow-up engine, and a CRM memory layer.
Score signals with a smaller, focused AI path.
The system uses structured heuristics first, then smaller AI classification for intent, next action, risk, and draft quality.
Redact and minimize sensitive data.
Protected details can be masked before analysis, and only the minimum context needed for classification is used.
Create actions, not noise.
A signal becomes a recovery draft, no-reply rule, CRM record, task, or report insight with a clear owner.
Closed-won learning loop
LeadLeak can learn from outcomes without exposing the whole playbook.
Recovered, lost, ignored, replied, booked, or converted.
Which timing, intent, inbox, and account traits tend to matter.
Higher-confidence recovery ranking and better draft recommendations.
Users approve sensitive sends and can correct the model trail.