AI Call Center Solutions
An AI call center that closes the call.
We build AI contact centers that answer in about half a second, resolve tier-1 volume inside your own CRM and telephony, and hand the hard conversations to a person with full context attached.
Response latency
~500 ms
Speech-to-speech turn time on production traffic
Concurrent calls
Hundreds
No queue, no hold music, no staffing peaks
Tier-1 deflection
50-70%
Typical share of calls resolved without a human
Telephony
Your stack
SIP, Twilio, Genesys, Asterisk, Avaya
What the platform includes
Inbound call resolution
The agent identifies the caller, answers from your grounded knowledge base, and completes the request in your systems instead of reading a menu.
Outbound campaigns
Lead qualification, payment reminders, appointment confirmations, and satisfaction surveys at controlled pacing with compliant opt-out handling.
CRM and telephony integration
Bitrix, Salesforce, HubSpot, 1C, or your own API, connected to your existing SIP or cloud telephony — every call writes back a structured record.
Warm human handover
When a call needs a person, the agent transfers with transcript, intent, and sentiment attached, so the operator starts informed.
Real-time analytics
Per-call transcripts, intent breakdowns, containment rate, average handle time, and sentiment trends in one dashboard.
Compliance and audit trail
Consent capture, PII redaction, retention rules, and a full recording plus transcript for every conversation.
Where teams start
Customer support tier 1
Balance and order status, delivery windows, password resets, plan changes — resolved on the first call, day or night, without adding headcount.
Appointment and dispatch
Book, reschedule, and confirm appointments directly in your scheduling system, then send the confirmation by SMS or email.
Collections and reminders
Polite, scripted payment reminders with promise-to-pay capture and automatic escalation to a human for disputes.
Peak and after-hours overflow
Absorb campaign spikes and out-of-hours volume that would otherwise become abandoned calls and lost revenue.
Custom AI call center vs. off-the-shelf bots
| Capability | Premium Robots | Generic platform |
|---|---|---|
| Turn latency | ~500 ms speech-to-speech | 1-3 s, unnatural pauses |
| Systems access | Writes to your CRM and billing | Read-only FAQ answers |
| Languages | Multilingual, code-switching mid-call | One language per bot |
| Escalation | Warm transfer with full context | Cold transfer or dead end |
| Quality measurement | Eval suite on your real calls | Vendor demo metrics |
Frequently asked questions
- What is an AI call center?
- An AI call center handles inbound and outbound phone conversations with speech-to-speech AI agents instead of a queue of human operators. The agent understands the caller, answers from your own knowledge base, performs actions in your CRM or billing system, and escalates to a person when a case needs judgement.
- How does an AI contact center determine caller intent?
- Speech is transcribed in real time, then classified against an intent model trained on your own call recordings and scripts. Intent, entities such as order or policy numbers, and sentiment are resolved in the same turn, so the agent routes or resolves the call without a touch-tone menu.
- Will AI replace call center agents?
- In practice it removes repetitive tier-1 volume — balance checks, order status, appointment changes, password resets — which is typically 50-70% of calls. Human agents keep the complex, high-value, and emotionally sensitive conversations, with the AI supplying context and a full transcript at handover.
- How do you automate call center workflows with AI?
- We map your top call reasons, connect the systems each one touches, and give the agent tools to complete the task end to end: look up a record, update it, send a confirmation, book a callback, create a ticket. Every tool call is validated and logged, so the workflow is auditable.
- How do we choose a conversational AI vendor for a call center?
- Test four things on your own data: latency under real network conditions, accuracy in every language your callers use, depth of integration with your CRM and telephony, and whether you can inspect and evaluate the system after launch. We run a paid pilot on your real call reasons so the comparison is evidence, not a demo script.
- How long does deployment take?
- A single-queue pilot on your existing telephony is usually live in 2-4 weeks, including intent design, integrations, and an eval suite. Multi-queue and multi-language rollouts run 6-10 weeks.
Pilot one call queue
Send us your top five call reasons and we will propose an AI call center pilot with containment and latency targets attached.