Voice AIE-commerceASR · LLM · TTS

Your team is answering
the same call 200 times a day.
That's the one AI should be handling.

We build voice AI agents that handle your repetitive inbound calls — order status, returns, basic inquiries — so your team focuses on the conversations that actually need them.

Book a discovery call Free, no commitment · 30 min

The economics — by the numbers

391%

ROI over 3 years documented for enterprise voice AI deployments, with payback under 6 months

Forrester / PolyAI TEI
80%+

Of inbound calls handled autonomously in mature deployments — humans handle only the exceptions

Callbotics
5–10×

Typical Q4 call volume spike in e-commerce — AI absorbs it without a single new hire

Industry benchmark
<700ms

Response latency in our custom LiveKit deployments — fast enough that callers forget they're talking to AI

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 can handle them just as well, at any volume, around the clock, without burning out.

80%+ of inbound calls handled autonomously in mature deployments

Callbotics
Seasonal peaks

Black Friday breaks your support

E-commerce call volume in Q4 can spike 5–10×. Hiring and training for a 6-week peak isn't viable. Voice AI scales to demand 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 in a queue is a decision point — continue holding, try a competitor, or leave a bad review. Our agents respond in under 700ms — fast enough to feel like a real conversation.

46% reduction in call wait times documented

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

Off-the-shelf voice bots
feel off-the-shelf.

Generic platforms are built for demos. They struggle with your order management system, your returns flow, your product catalog, your language. We build around your actual operations — not a template.

Poor ASR accuracy

Accents, noise, domain vocabulary — generic models fail where it counts. We train on your data.

Integration gaps

Voice AI without CRM and ticketing integration is just a greeting. We build the connections.

Language limitations

Major platforms are English-first. Polish and CEE language support is an afterthought at best.

Compliance blind spots

GDPR, HIPAA, PCI-DSS — generic solutions don't cover regulated industries. Architecture matters.

Latency

Most platforms run at 1.5–3s — enough to feel robotic. We run custom LiveKit infrastructure at sub-700ms, which is the threshold where it stops feeling like a bot.

Pilot-to-production gap

Works in a demo environment, fails at real call volumes. We engineer for scale from day one.

"We build voice AI that actually works — not a demo, not a POC, but a production solution integrated with your systems, in your language, in weeks not quarters."

Syntropic positioning
The service

Custom voice AI, built
for your stack.

We design and build the full pipeline — from speech recognition through reasoning to voice synthesis — integrated with your existing systems. AI handles the volume; your team handles what needs a human.

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
Operations

Warm Handoff & Escalation

  • Intelligent escalation to human agents with full 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

Where we've seen it work

E-commerce

Order status, returns, delivery issues

Home services

Booking, rescheduling, confirmations

Healthcare

Appointment scheduling, patient intake

Insurance

Claims intake, status updates, FAQs

Telecom

Billing, outage reports, plan changes

Property

Viewing bookings, tenant inquiries

Engagement model

Prove it first.
Scale when it works.

Start here

Assessment

We map your call types, identify the highest-ROI automation opportunities, and produce a concrete architecture recommendation with ROI projection.

  • Call type analysis
  • Automation opportunity mapping
  • Stack recommendation
  • ROI model with clear assumptions
Discuss this
Recommended first step

Pilot

One production-grade use case, live on real call volume, with KPI measurement. Enough to prove the business case before committing to full deployment.

  • Single use case in production
  • 8–12 week delivery
  • Full system integration
  • KPI measurement dashboard
Discuss this
Scale

Full Deployment

Multi-use case rollout across your contact center, with ongoing optimisation and dedicated support as your AI call handling matures.

  • Multiple use cases
  • Full telephony integration
  • Ongoing optimisation
  • SLA-backed support
Discuss this
Ongoing

Managed Partner

We run the system for you — monitoring, optimising, and expanding to new use cases as your operations evolve.

  • Continuous operation & monitoring
  • Monthly optimisation cycles
  • New use case development
  • Dedicated engineering contact
Discuss this

Pricing discussed on the discovery call — scoped to your call volumes, integration complexity, and language requirements.

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 is turning 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
  • —Your call volume is under ~200/week — a human still wins economically
  • —Your calls are mostly nuanced high-stakes sales conversations
  • —You need full replacement of a contact center tomorrow
Frequently asked

Questions we usually get.

How long does a pilot take?

Typically 8–12 weeks from signed scope to live traffic. Week one is integration and call-flow design; weeks two to six are iteration against recorded and then real calls; the last phase is production rollout with KPI tracking.

What about Polish and CEE languages?

We train and deploy voice agents in Polish, German, Czech, and English daily. ASR accuracy on domain vocabulary is where most platforms fail — we fine-tune on your actual call recordings to close that gap.

What telephony can you plug into?

SIP trunks (Twilio, Telnyx, local carriers), WebRTC for web/app flows, and direct integrations with cloud contact centers (Genesys, Zendesk Talk, Freshcaller). If you can route a call to a number, we can handle it.

What happens when the agent can’t resolve the call?

Warm handoff — the agent transfers the call to a human with a written summary of what’s been said, customer identity, and proposed next step. No customer has to repeat themselves.

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