Customer Support Call Centres
Handle high call volumes around the clock — answering FAQs, checking order status, and resolving routine issues without hold music.
Who we build for
Who We Build AI VoiceBots For
Voice is still how most customers prefer to get urgent things done. We build voice assistants that sound natural, plug into your telephony stack, and hand off to a live agent the moment a call needs a human touch.
Healthcare & Appointment-Based Businesses
Automate appointment booking, reminders, and rescheduling — reducing no-shows while keeping front-desk staff free for in-person care.
Sales & Lead Qualification Teams
Qualify inbound callers and outbound leads automatically — capturing intent and routing hot leads to your sales team in real time.
Delivery & Logistics Operations
Give drivers and customers a voice-first way to get order updates, report issues, and reach dispatch — without tying up your phone lines.
Why Chayaniq for AI voicebots
AI VoiceBot Benefits
Voice automation only works if it sounds natural, responds fast, and knows when to bring in a human. Here is what we bring to every voice deployment.
Natural Speech-to-Text & Text-to-Speech
Streaming STT and lifelike TTS tuned for low latency — so calls feel like a real conversation, not a phone tree.
Telephony & SIP Integration
Connects to Twilio, Vonage, or your existing phone system — inbound and outbound calling with programmable call flows.
Conversation & Call Flow Design
Call scripts mapped to real customer phrasing — including interruptions, repeats, and the messy reality of phone conversations.
Live Agent Handoff with Context
When a call needs a human, the agent receives full context instantly — no asking the customer to repeat themselves.
Call Analytics & Continuous Tuning
Transcripts, containment rates, and sentiment analysis feed back into scripts — so the bot keeps improving call after call.
Multilingual & Accent-Aware Voice Models
Voice models tuned for accuracy across accents and languages — so callers are understood the first time.
Industries we serve
AI VoiceBots for Your Industry
Call scripts, compliance requirements, and escalation paths look different in healthcare, finance, and logistics. We tune voice bots to the realities of your industry.
Remote patient monitoring
- Real-time collection of wearables data
- Enhanced doctor-patient communication
- Comprehensive view of patient health data
- Data-driven report generation
- Seamless integration with existing systems
- Improved patient outcomes
Electronic medical records (EMR)
- Interoperability of medical data across departments
- HIPAA / GDPR compliant solutions
- Improved patient care
- Quick access to patient records, vitals, and lab results
- Enhanced security and privacy of patient health data
Document management
- Compliant documentation workflow
- Streamlined management of health information
- Integrations with existing systems for a 360° data view
- Secure file sharing and access management
Insurance verification
- Automated medical insurance eligibility
- Proactive identification of coverage issues
- API-ready and HIPAA-compliant
How we work
Our Process for AI VoiceBot Delivery
Voice is unforgiving — latency, accents, and interruptions all show up immediately. Our process is built around real call audio from day one, not scripted demos.
Discovery & Call Mapping
We review real call recordings and transcripts to map intents, scripts, and the moments a human must take over.
Voice & Persona Design
We choose voice models, pacing, and persona — tuned for clarity over the phone and aligned with your brand.
Telephony Integration
SIP and programmable voice platforms wired up — with call routing, recording, and consent flows configured correctly.
Testing with Real Call Audio
We test against real call recordings — including noisy lines, accents, and interruptions — not just clean scripted audio.
Phased Rollout
We roll out to a percentage of calls first, with live monitoring and an instant fallback to your existing IVR if needed.
Tuning & Support
Ongoing transcript review and tuning — so containment and satisfaction keep improving call after call.
How we build AI voicebots that sound human
Voice automation only earns its place on a phone line when it understands callers, responds quickly, and hands off cleanly. We design every layer — from speech recognition to telephony — around that bar.
We map real call transcripts — interruptions, accents, background noise — before writing a single prompt, so the bot handles calls the way your best agent would.
- Call scripts grounded in real customer phrasing and edge cases
- Voice activity detection tuned to your noise environment
- Escalation triggers defined for every failure mode
Our stack
Our AI VoiceBot Technology Stack
Speech, telephony, and orchestration layers tuned for low latency and natural-sounding calls — assembled around your call volume.
Speech-to-Text & TTS
- Deepgram
- Whisper
- ElevenLabs
- Google Speech
- Amazon Polly
Telephony & SIP
- Twilio
- Vonage
- Asterisk
- SIP trunking
LLMs & NLU
- Anthropic Claude
- OpenAI GPT
- Custom NLU
Voice Bot Frameworks
- Vercel AI SDK
- LangChain
- Custom voice orchestrators
Evaluation & Analytics
- Call transcript analytics
- Containment dashboards
- Promptfoo
Compute & Hosting
- AWS Lambda
- EC2
- Docker
- Redis
Perspectives
Ideas that pair with AI VoiceBots
Short reads from how we ship—architecture, product, and ops. Same themes as this service, different angles.
February 2026
Voice Bots in 2026: Latency, Turn-Taking, and Telephony
Hard-won lessons on shipping voice automation that callers will tolerate — STT/TTS budgets, barge-in, and integration patterns.
Continue readingMarch 2026
Why Your IVR Is Losing Customers (And How Voice AI Fixes It)
Press 1 for frustration. A look at where traditional IVR breaks down and how conversational voice AI keeps callers on the line.
Continue reading
