Grounded knowledge
Connect approved documents and current data through retrieval-augmented generation (RAG). Define when the agent should acknowledge that it does not know the answer.
AI voice agents
An assistant that listens, clarifies and takes permitted actions, from confirming orders to handing a request to a person.
- Automated responses to frequently asked questions.
- Lead qualification and initial inquiry processing.
- Providing order status information.
More than a conversation.
Choose an agent scenario ↗Permissioned actions
Connect CRM, calendars and orders through server-side API tools, with MCP where useful. Restrict fields, validate requests and prevent duplicate changes.
Human handoff
Configure call transfer with context, queues and a fallback route. The agent introduces itself as a virtual assistant and respects requests to speak to a person.
Quality you can measure
Test Ukrainian and English, interruptions, noise and difficult answers. Measure completed tasks, latency and cost; agree log access and retention.
IMPLEMENTATION
Two ways to build.
The same business task. Infrastructure that fits your data policy, team and budget.
01 / ON-PREMISES
Own hardware
Host the agent and speech models on your servers or dedicated project hardware.
How we implement it
- Configure SIP and LiveKit and measure latency.
- Deploy STT, LLM and TTS locally; evaluate Ukrainian and load.
- Implement dialogue, CRM access, action limits and human handoff.
- Technology options
- SIP, LiveKit Agents, local speech recognition (STT), language (LLM) and speech synthesis (TTS) models; GPU sizing from benchmarks.
- Data & dependencies
- The dialogue and all three AI components run locally. Telephone network calls still pass through a carrier; any external CRM is assessed separately.
- Budget components
- Servers or GPUs, dialogue design, integration and evaluation; then operations, model updates and telephone traffic.
- Operations & support
- The support agreement assigns ownership of hardware, OS, applications, updates and incident response. Recovery is tested before launch.
02 / API PLATFORMS
International APIs
Connect a managed voice agent to telephony and permitted CRM tools.
How we implement it
- Setting up SIP trunks via Twilio/Telnyx.
- Integrating with ElevenLabs Agents or Deepgram Voice Agent API.
- Connecting to CRM tools with bounded permissions.
- Technology options
- Twilio/Telnyx SIP, ElevenLabs Agents, Deepgram Voice Agent API, CRM APIs.
- Data & dependencies
- External services process audio and necessary metadata. Before launch we review each component’s region, subprocessors, retention and deletion settings.
- Budget components
- Integration, dialogue testing and CRM tools; then agent minutes, telephony, model charges where applicable and storage.
- Operations & support
- The provider operates its platform; the project team maintains integrations, quotas and API changes within the agreed scope. Support coverage is defined by contract.
Technology choices are confirmed after an assessment. Platform names indicate implementation options, not partnership status. Calls to the public telephone network require a carrier in either model.
- 01
Evaluate task completion on agreed Ukrainian dialogue samples.
- 02
Test interruptions, requests for a person and forbidden actions.
- 03
Measure latency and cost per completed task under realistic network conditions.
Security and budget, together.
Compare ownership, external processing, resilience and total cost over 12 and 36 months.
Connect the next piece.
All services ↗Business telephony
One phone system for offices, remote teams and branches: extensions, queues, voice menus and connections to business systems.
Own hardwareAPI
Numbers & SIP trunks
Connect carrier numbers and SIP trunks to your phone system, checking availability, number portability and usage requirements.
Own hardwareAPI
Contact centers
Queues, an agent workspace, customer history and quality monitoring in a contact center connected to your business processes.
Own hardwareAPI