Scenarios & KPI
Intents, escalation rules, baseline AHT and cost per call.
Next-gen voice assistants and IVR: contextual understanding, CRM actions, seamless operator handoff.
Voice AI combines speech recognition, language model and synthesis into an assistant that dialogues, runs scenarios and transfers to humans with full context. Bober AI Systems builds voice agents for sales, support and internal helpdesk.
Yandex Telemost Agent case shows multi-modal approach: voice + chat + actions. Call center scenario: lead qualification, order status from 1C, callback scheduling.
STT/TTS chosen for Russian and data residency: Yandex SpeechKit, SaluteSpeech, Whisper in private cloud. Latency budget is critical for UX.
Agent backend shares LangGraph stack with text agents: tools, RAG, confirmed CRM writes. One logic across channels.
Pilot on one line: 4–6 weeks. Budget from €5,000 with telephony integration.
ROI: containment rate, average handle time, CSAT. Without metrics voice projects do not scale.
Intents, escalation rules, baseline AHT and cost per call.
Domain vocabulary, punctuation, barge-in handling.
Dialog graph, slot filling, CRM/ERP tools.
A/B with operators, gradual traffic increase.
−30%
L1 operator load
<800ms
target turn latency
24/7
routine request handling
Next-gen voice assistants and IVR: contextual understanding, CRM actions, seamless operator handoff.