Reps waste time on bad leads
Qualification happens on the call, not before it: reps discover a lead is a dead end after an hour of work.
Replace cold calls with an autonomous revenue engine.
An AI team qualifies inbound leads on its own, runs personalized follow-up and books only sales-ready meetings into your reps’ calendars.
Start pilot
Pilot: 1 month, 1 funnel. $5,000, fixed scope.
- Inbound leads 24/7
- Follow-up without delays
- Sales-ready meetings only
Revenue Engine
Problem
Cold calls eat your margin.
Reps spend the day on leads that will never buy, while deals die in the follow-up queue.
Slow follow-ups lose deals
While a lead waits, they are already talking to a competitor. The reply queue grows faster than the team.
High cost per acquisition
Every lead is paid for, yet converted by hand: cost per deal grows with the volume.
How it works
From an inbound lead to a booked meeting.
Agents work inside your funnel: capture, qualification, follow-up and a clean handoff to your reps.
Capture and qualify
The agent picks up a lead from a form, chat or email and asks ICP questions, filtering dead ends before the call.
Personalized outreach
Every reply follows the lead’s context: an industry case, pricing and the next step. No template blast.
Handoff to CRM and calendar
A sales-ready meeting with context lands in the CRM and the rep’s calendar — only warm deals stay in play.
Pricing
Pilot at $5,000, implementation from $15,000.
A fixed pilot price: one month, one funnel. Implementation starts after measuring the result.
Pilot
$5,000
1 month, 1 funnel. Qualification, follow-up and meetings in the calendar.
- 1 funnel
- Qualification and follow-up
- Meetings in reps’ calendars
Full implementation
from $15,000
All funnels, CRM and calendar integrations, a control panel.
- All funnels
- CRM and calendar integrations
- Dashboard and support
The pilot is a separate purchase: result first, scale next.
Next step
One funnel. One month. Meetings on the calendar.
We will run the pilot and show how many meetings the agents bring in. Then you decide on full implementation.