A voice-AI team that calls your customers — and decides what to do next.
It dials, holds a real conversation, verifies identity, takes the outcome, schedules the follow-up, warm-transfers to a human when needed, and grades itself afterward. End-to-end, 24/7, with no operator on the line.
Not a prototype. A live system, doing the work.
A rolling production snapshot — real accounts, real dollars, real calls. The system grew ~6.5× in monthly volume without a re-architecture or added headcount.
Everything the calling operation needs — already built.
Fifteen capabilities working together as one system. Two are new: a warm transfer agent that hands customers to humans with full context, and an internal call-audit bot that grades your whole team.
Customer data ingestion
Scheduled pulls from your data source (SFTP / API / webhook / DB). Records normalized, enriched, and queued automatically.
Intelligent dialing
Accounts dialed at the right times with managed concurrency, throttling, and identity rotation to protect pickup rates.
AI-driven conversation
A natural, human-like voice agent verifies identity, requests payment, schedules callbacks, and answers questions — multi-language.
Live mid-call data access
While the customer is on the line, the agent looks up balances and verifies identity (SSN + DOB) against your live systems in real time.
Outcome capture
Every call ends with a structured outcome plus full transcript, recording, and metadata stored for audit.
Smart follow-up scheduling
Unresolved accounts enter a multi-touch retry curve tuned to outcome type and customer preference.
Customer-initiated callbacks
“Call me at 3pm tomorrow” is scheduled in the customer's own time zone and executed autonomously to 10-minute precision.
Inbound handling
Customers calling back are recognized and routed, with the same live data access available as on outbound calls.
Exception & escalation routing
Calls needing a human are flagged with full conversation context — no lost threads.
Warm transfer agent
No blind forwarding. A dedicated agent reaches the live human first, briefs them on who and why, confirms they're ready, then bridges the customer across — already in context.
Call-audit bot for your team
An LLM reviewer grades every call — AI and live-agent alike — for mistakes, frustration, and compliance, so supervisors coach from evidence, not spot-checks.
Operator dashboard
A web console with full visibility: every customer, call, transcript, and outcome — plus manual overrides where needed.
Disaster recovery
Provider outage or suspended account? Automated and human-triggered recovery paths resume in-flight work without losing accounts.
Alerting & reporting
Real-time paging to Telegram / Slack, a daily summary digest, and email notifications on manual and inbound interactions.
Closed-loop partner reporting
Same-day, fully reconciled file deliveries back to your data partners — a contractual deliverable most vendors never produce.
You replace the operation — not augment it.
One person runs what took twenty
Most tools dial faster so humans talk more. This system handles the conversation itself. The economics aren't “5% better” — they're a different operation.
Volume scales without hiring
100 outreaches a month to 10,000 is a configuration change, not a headcount change. Same system, more data.
Compliance & consistency built in
Every call recorded, transcribed, and reviewed. Consistent scripts. No agent who had a bad day. Total audit trail.
24/7 reach, multi-language
Calls when customers actually answer — including off-hours — in English, Spanish, and more, with no separate teams or overtime.
The pattern duplicates anywhere you call customers in volume.
Wherever (volume of customers × value per contact) justifies a phone call, this system runs it.
Weeks to launch — because the hard part is already done.
The dialer, queue, retry logic, recording, escalation, and compliance are reused directly. Your build is mostly configuration and integration.
Discovery
Map the call flow you need — script, decisioning, escalation rules.
Agent configuration
Tailor language, tone, and conversation logic to your brand.
Data integration
Wire your customer data source to the calling queue.
Sandbox testing
Run on a controlled subset; tune accuracy and outcomes.
Production rollout
Phased volume increase with full monitoring.
Ongoing optimization
Quality reviews, schedule tuning, script refinement.
Three tiers. Build up as you grow.
A one-time setup fee gets you live; a fixed monthly retainer keeps it running. Telephony is a separate pass-through billed at cost and scales with your call volume.
- Autonomous outbound calling
- Multi-touch follow-up cadence
- Customer-initiated callbacks
- Structured outcome capture + recordings
- Operator dashboard
- Alerting & closed-loop partner reporting
- Inbound call handling
- Warm transfer agent
- Internal call-audit bot
- Everything in Outbound + Dashboard
- Full inbound call handling
- Live mid-call data access on inbound too
- Caller recognition & routing
- Inbound included in daily partner reports
- Warm transfer agent
- Internal call-audit bot
- Everything in Outbound + Inbound
- Warm transfer agent — attended hand-off briefing the human on who & why
- Internal call-audit bot — LLM grading for your whole team
- Transfer reasons captured for reporting
- Quality trends & coaching evidence
Setup is a one-time onboarding fee (integration, agent configuration, sandbox testing). The monthly retainer is the fixed service fee; telephony (voice minutes + carrier) is a separate pass-through billed at cost and scales with your call volume.
The infrastructure is built. The hard problems are solved.
What's left is configuring it for your use case. If your business makes high volumes of customer calls, this replaces the operation — staffed, dialing, deciding, transferring, and auditing itself, running today.