Core use case
Re-engage the clients already on your books.
CallableAI calls the clients already sitting in your CRM — lapsed, dormant, quoted-but-never-closed — on a schedule you set, has a real conversation, and books the ones with an opportunity straight into your diary. No new ad spend, no new list.
Your CRM is full of people who already said yes once — past clients, aged quotes, leads that went quiet. Everyone agrees they're the easiest conversations in the business; nobody ever has time to make them. CallableAI mines the book, queues the calls, and turns "we should really call them" into booked revenue.
Before / after
The same day, run twice.
8:00am
Without CallableAI
1,900 contacts in the CRM. Nobody has spoken to most of them in a year. Everyone means to. Nobody will.
With CallableAI
The reactivation Task ran overnight: 38 contacts past your quiet-threshold, each queued for an AI Voice Agent with their full history attached.
11:00am
Without CallableAI
An old quote surfaces in a spreadsheet. "Whatever happened to them?" Nothing. That's the problem.
With CallableAI
Warm check-ins are landing all morning — no cold openers, because every call starts from what you already know about them.
4:00pm
Without CallableAI
A competitor wins a client you served for six years. They didn't leave angry; they just forgot about you.
With CallableAI
Nine review appointments booked from the quiet list today. Two flagged life changes worth a same-day call from you.
The real problem
What's actually costing you.
The database gathers value — and dust
Every year your client book gets more valuable and less contacted. A Task watches it continuously — anniversaries, expiries, quiet clients — and queues the conversations before the moment passes.
Aged quotes are paid-for leads, stalled
Every open quote was money spent to create. The chase cadence works each one to a decision — the rebate question answered, the reminder made, the file closed one way or the other.
Reactivation always loses to today's fires
It's nobody's job, so it's never done. Make it a Task's job: described once in plain English, run on schedule, every run visible on the dashboard.
Walkthrough
One sweep, reconstructed
$0.00
blended platform cost per qualified lead — 881 outcomes across three outbound tenants, 11–17 August 2026. Method and per-tenant range
- 1
Monday 8:00am — the Task wakes on its trigger: anyone quiet for 90+ days, sorted by lifetime value.
- 2
8:01am — 38 warm calls waiting in the AI Voice Agent's queue, full history attached to each.
- 3
Through the week — the AI Voice Agent works the queue between inbound calls. Every outcome logged, every retry scheduled.
- 4
Thursday — 9 reviews booked, 4 aged quotes revived, 2 clients saved who were quietly shopping elsewhere.
- 5
Friday — the run report lands in your inbox: who was called, what came of it, what's queued for next week.
The pieces doing the work
Tasks
The sweep itself: scan the book on schedule, find who's slipped, queue the calls with context.
AI Voice Agents
Warm conversations that pick up where the relationship left off — never a cold opener.
Analytics & Stats
Revenue recovered from the existing book, tracked separately — the highest-margin line on the dashboard.
Deployed white glove. Backed by an SLA.
CallableAI works with organisations that need quality, volume and compliance to hold at once. Bring us your requirements — we'll scope the deployment, the rollout and the SLA with you.