Voice AIConversational SystemsASR · LLM · TTS

Your team answers the same call
200 times a day.
AI should handle that one.

Production-grade voice AI agents integrated into your telephony and business systems. Sub-700ms response latency, in your language, built around your real operations — not a template.

Book a discovery call Free, no commitment · 30 min

The economics — by the numbers

391%

ROI over 3 years documented for enterprise voice AI — payback under 6 months

Forrester / PolyAI TEI
80%+

Of inbound calls handled autonomously in mature deployments

Callbotics
5–10×

Typical Q4 call-volume spike absorbed without hiring

Industry benchmark
<700ms

Response latency on our LiveKit deployments — below the uncanny threshold

Our production infrastructure
The problem

Growing businesses hit
the same three walls.

Repetitive volume

Most calls ask the same five questions

"Where’s my order?" "Can I return this?" "What are your hours?" Your team knows these cold. AI handles them at any volume, around the clock, without burnout.

80%+ of inbound calls handled autonomously

Callbotics
Seasonal peaks

Black Friday breaks your support

Q4 call volume in ecommerce can spike 5–10×. Hiring and training for a six-week peak isn’t viable. Voice AI scales instantly — same quality at 50 calls or 5,000.

40–70% call deflection without human involvement

DialZara
Response time

Customers don’t wait

90% of customers say immediate response is critical. Every minute on hold is a decision point. Our agents respond in under 700ms — below the threshold where callers notice they’re on a bot.

46% reduction in call wait times documented

Interface.ai / Bank of Guam
Platforms promise. Partners compound.

Off-the-shelf bots plateau.
Custom pipelines get sharper.

Every call adds a recording. Every recording improves ASR on your vocabulary, your accents, your product names. Generic platforms can\u2019t learn on your data — a custom pipeline does, every week. The gap compounds.

Three connected modules in a pipeline — ASR, LLM, and TTS stages of a production voice AI system

ASR · LLM · TTS — tuned to your stack

Week 1
Baseline

Integration, call-flow design, and first deployment on a narrow, real use case. Agent handles one call type end-to-end.

Week 8
In production

ASR fine-tuned on your actual call recordings. Warm handoff working. KPIs measured daily — resolution rate, handle time, CSAT.

Month 6+
Compounding

Model accuracy on your vocabulary exceeds any generic platform. New call types added in days, not months. Switching back is no longer rational.

Where off-the-shelf voice bots break

Poor ASR accuracy

Accents, noise, domain vocabulary — generic models fail where it counts.

Integration gaps

No CRM, ticketing, or OMS integration — just a greeting.

Language limitations

Major platforms are English-first. Polish and CEE are afterthoughts.

Compliance blind spots

GDPR, HIPAA, PCI-DSS — architecture matters for regulated industries.

Latency

Most platforms run at 1.5–3s — enough to feel robotic.

Pilot-to-production gap

Works in a demo, fails at real call volumes.

The service

Custom voice AI, built
for your stack.

Four moving parts. Each engineered against your real operations — no templates, no demoware.

The pipeline
Core pipeline

Custom ASR · LLM · TTS Architecture

  • Speech recognition tuned to your domain and language
  • LLM reasoning layer with access to your business data
  • Voice synthesis that sounds like your brand
  • Realtime models for sub-second response latency
Integration

Deep System Integration

  • CRM, ticketing, and order-management connections
  • SIP trunk and telephony infrastructure setup
  • WebRTC support for browser-based deployments
  • Custom API development for proprietary backends
The operations layer
Handoff

Warm Handoff & Escalation

  • Intelligent escalation to human agents with full conversation context
  • Call classification and routing logic
  • Post-call summaries pushed to your CRM automatically
  • Agent-assist mode — AI supports, human decides
Measurement

Analytics & Continuous Improvement

  • Resolution rate, handle time, and CSAT tracking
  • Call-topic analysis and trend detection
  • A/B testing of conversation flows
  • Monthly performance review and optimisation
Is this a fit

Who this works for — and who it doesn't.

Good fit

  • +You handle hundreds to thousands of repetitive calls per week
  • +Your support team turns down calls or has long queues
  • +You’ve tried an off-the-shelf voice bot and it felt robotic
  • +You have real systems to integrate with (CRM, OMS, ticketing)

Not a fit

  • —You want a demo to show the board, not a system in production
  • —Call volume under ~200/week — a human still wins economically
  • —Your calls are mostly nuanced high-stakes sales conversations
  • —You need a full contact-center replacement tomorrow
Start the conversation

Find out what your calls
could be costing less.

In a 30-minute call we'll look at your current call types, estimate the automation opportunity, and give you an honest view of what a pilot would look like for your business.

Book a free discovery call

Or email hello@syntropicsignal.ai