Booking agents that work the list you already paid for
Scored queues from the whole database, follow-up drafts across channels, and human approval before every message. Your team shows up ready to close.
Monitors
Whole database, follow-up state
Produces
Scored queues, follow-up drafts
Approval
Before every message
Status
Live in engagement
Is this right for you
- ◆You have more contacts in the CRM than your team can work
- ◆Quotes and estimates go out and follow-up depends on someone remembering
- ◆The phone call is the conversion, not a form fill
The problem
The list is paid for. Most of it is unworked.
The number that matters is usually not new leads. It is the ratio between contacts in your database and contacts anyone touched this month.
A business with four thousand records working twenty a week is touching roughly a quarter of its list a year. The rest is not cold. It is paid-for and unworked.
What you stop losing
Four thousand records at twenty a week is roughly a quarter of the list a year.
The number that matters is usually not new leads. It is the ratio between contacts in your database and contacts anyone touched this month.
A business with four thousand records working twenty a week is touching roughly a quarter of its list a year. The rest is not cold. It is paid-for and unworked.
Framing, not a benchmark. Run the arithmetic against your own numbers.
How it works
From dormant contact to booked call.
Score the queue with reasons, draft the follow-up, approve, then your team calls.
01 · Continuous
Score the whole database
Last touch, what they asked for, how far they got. Priority is explained, not asserted as a black-box score.
agent02 · Daily
Build the working queue
Your team sees who is worth calling today, with the reasons still attached to the row.
agent03 · Per contact
Draft the follow-up
Messages wait at the Approval Gate. Sequence length and cadence are set per engagement, with a hard stop.
agent04 · Every time
Approve, then your team calls
The agent does not place the call. Voice qualification is under research. Your team shows up ready.
youWorking queue
Priority with the reasons still attached.
Each queue row shows why it scored where it did: last touch, what they asked for, how far they got.
Working queue · Cedar Roofing Co.
Reactivation · today
Ana Ruiz
92- ◆Quote sent 11 Mar · no close
- ◆Last touch · email open 02 Aug
- ◆Asked for metal roofing estimate
Draft follow-up ready
Jordan Lee
81- ◆Estimate visit completed 19 Jun
- ◆No outbound since 21 Jun
- ◆Budget noted as this quarter
Call script ready
Sam Ortiz
74- ◆Form fill · storm damage · 28 Jul
- ◆Phone valid · consent granted
- ◆Not yet assigned
Awaiting approval
◆Illustrative interface with example brand and data. The structure matches how the system works.
See what your dormant list is worth
Share a CRM export and we will score a sample slice with reasons attached before you commit.
Capability status
What runs today,and what is being built.
We keep this table current rather than describing the roadmap as though it shipped.
Live now
running in production- ◆Whole-database scoring with visible reasons
- ◆Daily working queues for the team
- ◆Follow-up drafts at the Approval Gate
- ◆Hard-stop sequences configured per engagement
- ◆Human approval before every message
Shipping next
not available yet- Two-way CRM appointment syncIn active development
- Automated calendar negotiation with the prospectPlanned
- No-show prediction and pre-emptive reschedulingPlanned
- Voice agent for first-touch qualificationUnder research
◆Capability status verified 5 August 2026.See what changed
What stays human
Your team still makes the call.
The agent scores, drafts, and queues. It does not call people. Voice qualification is under research.
A person approves every outbound message. Calendar negotiation and no-show prediction are planned, not live.
How we handle your data
- ◆Customer records stay tenant-scoped in your workspace
- ◆Raw contact content is not used to train public foundation models
- ◆De-identified outcome features may improve scoring under contract
- ◆Full export on request, no hold and no fee
- ◆Every field carries provenance: where it came from and when
Connects to
Works with the stack you already run.
Questions
What people ask before they start.
How far back is worth going?
Further than most teams assume. A two-year-old quote request from someone who never bought is a warmer contact than a cold prospect, and it is already paid for.
What if they already bought from a competitor?
Scoring uses recorded signals, so a known-lost contact scores down. Where the record does not say, the draft asks rather than assuming.
Does it call people?
No. It drafts, a person approves, and your team calls. Voice qualification is under research.
How does it decide when to stop chasing?
Sequence length and cadence are set per engagement, with a hard stop. It does not chase indefinitely.
Will it book the calendar without us?
Automated calendar negotiation is planned, not live. Two-way CRM appointment sync is in active development.
What if our CRM is a mess?
That is a normal start. Load, dedupe, and enrich come before the queue is trusted. Scoring is only as good as the record.
Does approving a draft send SMS or email?
Approve records the decision. It does not auto-send. Delivery stays dry-run until explicitly promoted, and email remains hash-only today.
Can this run next to our SDR team?
Yes. The queue is built so humans work the highest-reason rows first. It is a force multiplier, not a replacement for the call.
What do you need to score a sample?
A CRM or CSV export with last touch, stage, and outcome fields is enough for a first dormant list read.
Proof
The list you already paid for is the asset
Platform reactivation loop
See how the platform loads dormant data, scores it, and queues human-approved follow-up.
See the platform →Why this framing
Appointment setting credibility is coverage of the list and the gate, not a booked-meeting percentage invented for the page.
Send a slice of the list.
We will score a sample with reasons attached and show you what the working queue would look like.
Not sure which agent fits? Talk to us