Turnkey AI call center with voice agents, queues, human operators and QA
We build a call center where voice agents handle the first line and people take the complex calls. Queues, routing, handover with context, analytics and QA work as one system.
What hurts
The call center grows with the business, and so does payroll. Operators burn out and leave. New hires take weeks to train, and quality drops exactly when call volume peaks.
Most calls are the same: order status, balance, opening hours, data changes. Experienced operators spend the day on them. There is no time left for the complex cases that really need a person.
Managers only see random call samples. Nobody knows what happens in the rest. Where customers are angry, where an operator broke the script, why people refuse, all of it is guesswork.
What we build
- Audit of current calls: topics, volumes, what goes to agents and what stays with people
- First line voice agents for inbound and outbound scenarios
- Queues and routing by topic, language, customer segment and operator load
- Handover with context: who is calling, what was said, what needs to happen
- Connection to your PBX over SIP or to your contact center platform
- Integration with your CRM, ERP such as SAP or Odoo, and internal systems
- Analytics and QA on 100% of agent and operator calls with our own LLM
- A test suite for every agent and SLA support after launch
What you get
- A working AI call center on your numbers with agents, queues and handover rules
- Integrations with CRM, telephony and internal systems
- Dashboards for load, quality, call topics and handover reasons
- Test suites for all agents and architecture documentation
- Training for supervisors and operators on the new setup
- An SLA with response time and liability fixed in the contract, plus a weekly quality review
How we measure the result
- Share of requests resolved by agents without an operator
- Queue wait time and abandoned call rate
- Quality score of agent and operator calls against a checklist
- Cost per handled request
- Share of handovers to operators and their reasons
Systems and stack
Industries
Questions
How much does a turnkey AI call center cost?
From $15,000. The price depends on the number of lines and scenarios, the systems we integrate, and hosting and quality requirements. We give a fixed estimate in 2–3 days after discovery. Telephony and call minutes are billed separately, estimated on your volumes.
Do we have to let operators go?
No, that is not a required goal. Agents usually take repetitive calls, and operators move to complex cases and sales. You decide how many people you need after a few weeks on real data.
How long does the build take?
Between 8 and 14 weeks. We start with one agent on one line, then add others. You see a demo every week. The full switch happens step by step so customers do not notice any disruption.
Which systems does it work with?
With telephony over SIP and cloud PBX or contact center platforms that offer an API. With HubSpot, Pipedrive, Kommo, SAP, Odoo and custom systems via API. If an integration does not exist, we build it.
What about data protection and the EU AI Act?
We hold ISO/IEC 27001:2022, sign NDA and DPA before access and work under GDPR. Calls are analysed by our own LLM on our servers. Agents disclose that callers speak with AI. For banks and clinics we deploy on dedicated servers.
Who supports the system after launch?
We do, under an SLA. Every week we review quality, new topics and handover reasons. We update agents and test suites. Your supervisors can also edit scenarios in the Happ dashboard.
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Describe the task. We reply within one business day, the first call is with the founder.
Describe the task. The first call is with the founder.
We reply within one business day. 30 minutes to tell you whether it is worth doing and what it costs.