AI Voice Agent Development Services

0+.AI systems in production

0.Days to first deploy · median

0.0%.Uptime · managed inference · 12 mo

0.0×.Cost reduction · fine-tuned vs API · median

* Sample figures for layout review. Replace with audited numbers from engagement reports before launch.

── 01 · AI voice agent development services ──

Eight services, one voice your callers trust.

AI voice agent development is building phone agents that understand callers, take actions in your systems and speak naturally, fast enough to feel like a conversation.

01
Voice strategy and use cases.
Which calls to automate first, with volumes, handling times and the business case.
Deliverable · Call automation plan
02
Voice UX design.
Conversation flows, persona, pacing and interruptions, designed for the ear, not the screen.
Deliverable · Voice design spec
03
Custom voice agent development.
Speech recognition, language model and speech synthesis tuned to your calls.
Deliverable · Production voice agent
04
Multilingual voice.
The languages and accents your callers use, each tested on real recordings.
Deliverable · Language packs
05
Telephony and system integration.
Your phone system, CRM, booking and payment systems connected, with warm transfer.
Deliverable · Integrated voice agent
06
Model tuning.
Recognition tuned to your product names, and responses tuned to your policies.
Deliverable · Tuned speech and language models
07
Call analytics.
Intent, outcome and sentiment for every call, on one dashboard.
Deliverable · Call analytics dashboard
08
Monitoring and maintenance.
Latency, accuracy and transfer rates watched daily; updates tested before release.
Deliverable · Monthly call quality report

── 02 · Latency budget ──

Under a second, or it feels wrong.

People notice a pause after about a second. Every turn has a budget, and each part of the pipeline has to stay inside its share.

— One conversational turn · target under 800ms —

ASR 180LLM 260TTS 120NET 80

640ms per turn · 160ms inside the target

Streaming recognitionStarts before the caller stops

Fast model for simple turns−40% think time

Barge-inStops speaking when interrupted

Illustrative sample timings.

Speech recognition
ASR
Turns the caller's words into text, tuned to your product names and accents.
Language model
Reasoning
Understands the request and decides what to say or do next.
Knowledge
Retrieval
Pulls answers from your policies and the caller's own account.
Speech synthesis
TTS
A natural voice that can be interrupted mid-sentence.
Telephony
SIP · PSTN
Connects to your phone system, with warm transfer to people.
Integrations
APIs
Reads and writes your CRM, booking and billing systems.

── 03 · Business functions ──

Five calls voice agents handle well.

Each starts with one call type, a clear goal and a person ready to take over.

Inbound customer support.

Billing, orders and account questions answered on the first call, with a summary in the CRM.

VoiceIntegration

Appointment scheduling.

Bookings, changes and reminders straight into your calendar system.

VoiceIntegration

Payment reminders.

Friendly reminders with a secure way to pay, never taking card details itself.

VoicePayments

Lead qualification.

Inbound sales calls qualified and booked with the right rep.

VoiceCRM

Surveys and follow-ups.

Post-service calls that ask, listen and log the answers.

VoiceAnalytics

* Trace shown is illustrative sample data.

── 04 · Voice agents vs IVR ──

Why callers stop pressing zero.

Menus make callers fit your structure. A voice agent lets them say what they need, and still hands over when it should.

Compared on	Touch-tone IVR	AI voice agent
How callers ask	Press 1, press 2	In their own words
Unusual requests	Loop back to the menu	Ask a follow-up, or transfer
Taking action	Simple lookups	Lookups, changes and bookings
Transfers to a person	With no context	With a summary on the agent's screen
Making changes	New recordings and menus	Updated prompts and tests

── 05 · Consent and compliance ──

A voice agent speaks for your brand on every call. These rules are part of the first version.

01
Callers know it's AI.
The agent says it is an AI assistant at the start of every call.
02
Consent for recording.
Recording and transcription follow the consent rules for each caller's location.
03
Payments kept out of the model.
Card details are captured by a PCI-compliant payment service, never heard or stored by the model.
04
A person is always available.
Callers can ask for a person at any time, and the transfer carries a summary.
05
Voices used with consent.
Custom or cloned voices are built only with the speaker's written consent.

Illustrative interface. Values are sample data.

— Case studies —

The first cohort is being written.

Named case studies publish here with the client's sign-off, real numbers and the honest limits. Want to be one of them?

Talk to us →

── 06 · Industries ──

Voice agents for your industry.

Callers ask different things in every industry. Latency, consent and handoff rules stay the same.

Mobility.

Dispatch, ETA and rider-support agents for ride-hailing and fleet platforms.

ETA models · Demand forecasting · Support agents

Logistics.

Route optimisation, document extraction and exception handling across the shipment lifecycle.

Route optimisation · Document AI · Exception triage

Finance.

KYC document extraction, fraud signals and customer assistants that stay inside compliance rules.

KYC extraction · Fraud signals · Compliance copilots

Real estate.

Listing enrichment, valuation models and lead-qualifying agents for brokerages and proptech.

Valuation · Listing enrichment · Lead agents

Retail / Manufacturing.

Demand forecasting, visual inspection and inventory copilots on the shop and factory floor.

Forecasting · Visual inspection · Inventory copilots

eCommerce / Consumer goods.

Product search, personalisation and post-purchase support agents that cite the order.

Semantic search · Personalisation · Support agents

Travel.

Itinerary assistants, dynamic pricing and disruption-handling agents for OTAs and operators.

Itinerary agents · Pricing · Disruption handling

— Not listed? —

Let's discuss your industry.

If the data is messy and the stakes are real, the method still applies. Bring the workflow; we'll bring the evaluation set.

Start a project →

── 07 · Development process ──

From call recordings to live agent.

Discovery starts with your real calls. The test set is built from recordings before the agent is.

01 Discovery · week 1
Workflow and data audit.

We map the process, pull a sample of real data, and check what is usable, missing or sensitive.
02 Discovery · week 2
Evaluation set.

We build the test set from your real examples, so “done” has a number before any product code exists.
03 Build · sprint 1
Architecture and prototype.

Model choice, retrieval design and integration plan, proven against the eval set.
04 Build · every Friday
Build in the open.

Your repository, your cloud. A weekly demo with accuracy, latency and cost on one screen.
05 Run · go-live
Deploy.

A staged rollout behind a feature flag, with runbooks, monitoring and a rollback path.
06 Run · monthly
Monitor and improve.

Drift alerts, model upgrades run through your evals, and a monthly cost and quality review.

── 08 · Technology stack ──

The voice stack we build on.

Speech recognition, language and speech synthesis models, connected to your telephony and systems.

— Models —

OpenAI
Anthropic
Gemini
Llama
Mistral
Qwen

— Agents & orchestration —

LangChain
Temporal
FastAPI
Python

— Retrieval & data —

pgvector
Pinecone
Elasticsearch
Redis
Databricks
Snowflake

— Training & serving —

PyTorch
Hugging Face
vLLM
NVIDIA TensorRT
ONNX
OpenCV

— MLOps & observability —

MLflow
Weights & Biases
Grafana
Prometheus
OpenTelemetry

— Cloud & infrastructure —

AWS
Google Cloud
Azure
Kubernetes
Terraform
Docker

* Tools we build with. No vendor partnership or endorsement is implied.

── 09 · FAQ ──

AI voice agent questions, answered.

Short answers here. Longer ones on the scoping call.

— Still have a question? —

Message us on WhatsApp. An engineer replies within one working day.

What does an AI voice agent cost?

Projects start with a fixed-fee discovery sprint, quoted on the scoping call. The build is priced per milestone, and every quote is written and fixed for its scope.

How long does it take to build a voice agent?

After a two-week discovery sprint, a voice agent for one call type usually takes six to twelve weeks, including telephony integration and testing on real recordings.

How do you keep replies fast enough?

Every turn has a latency budget. We stream speech recognition and synthesis, use fast models for simple turns, keep integrations close to the agent, and monitor reply times on every call.

Can callers interrupt the agent?

Yes. The agent stops speaking when the caller talks over it, listens, and responds to what they said, as a person would.

Do you offer custom or cloned voices?

Yes, but only with the written consent of the person whose voice is used. Most teams choose a licensed stock voice that fits their brand.

Can it work with our phone system?

Yes. We connect through SIP or your cloud contact-centre platform, and transfers land in your existing queues with a summary on the agent's screen.

Which languages and accents does it support?

The main languages and accents your callers use, each tested on real recordings before launch. We tell you where accuracy is lower and plan around it.

How are AI voice agents better than IVR?

Callers say what they need in their own words instead of navigating menus, and the agent can complete tasks, not just route calls. When it can't help, the transfer carries context.

AI Voice Agent Development.

By the numbers

Eight services, one voice your callers trust.

Voice strategy and use cases.

Voice UX design.

Custom voice agent development.

Multilingual voice.

Telephony and system integration.

Model tuning.

Call analytics.

Monitoring and maintenance.

Under a second, or it feels wrong.

Speech recognition

Language model

Knowledge

Speech synthesis

Telephony

Integrations

Five calls voice agents handle well.

Inbound customer support.

Appointment scheduling.

Payment reminders.

Lead qualification.

Surveys and follow-ups.

Why callers stop pressing zero.

Honest with every caller.

Callers know it's AI.

Consent for recording.

Payments kept out of the model.

A person is always available.

Voices used with consent.

The first cohort is being written.

Voice agents for your industry.

Mobility.

Logistics.

Finance.

Real estate.

Retail / Manufacturing.

eCommerce / Consumer goods.

Travel.

Let's discuss your industry.

From call recordings to live agent.

Workflow and data audit.

Evaluation set.

Architecture and prototype.

Build in the open.

Deploy.

Monitor and improve.

The voice stack we build on.

AI voice agent questions, answered.

Bring the workflow. We'll bring the plan.