Voice AI development services for conversational assistants, customer support, workflow automation, and voice-enabled applications connected to business systems.

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15+

Years building production software

120+

Engineers across delivery pods

75+

Clients served in North America

3K+

Successful product releases

Why Logiciel

Why Voice AI Needs More Than Speech Recognition.

Why Logiciel · 01

Understanding spoken words is only the first step

Useful voice AI also needs context, business knowledge, conversation logic, and access to the right systems.

Why Logiciel · 02

People speak naturally, interrupt, change intent, ask follow-up questions, and describe the same request in many different ways.

Why Logiciel · 03

Business terminology, product names, abbreviations, accents, background noise, and call quality can affect speech recognition.

Why Logiciel · 04

Voice experiences feel broken when transcription, model processing, integrations, or voice generation introduce noticeable delays.

Why Logiciel · 05

Useful voice assistants often need to retrieve information or perform actions across CRM, support, scheduling, order, and internal systems.

Why Logiciel · 06

Customer-facing voice AI needs clear boundaries around what it can answer, update, approve, or escalate.

Why Logiciel · 07

Teams need voice AI engineered as production software with evaluation, observability, fallback behavior, and human escalation.

What you get

What You Get From Logiciel Voice AI Development.

We combine conversational AI, speech technology, software engineering, and system integration to build voice experiences around real user workflows.

Voice AI built around real user intent

focused on the questions, requests, and tasks people actually bring to your business

Natural multi-turn conversations

that maintain relevant context as users clarify requests, change direction, or ask follow-up questions

Business-grounded responses

using approved knowledge, application data, policies, and other relevant information sources

Connected workflow actions

across CRM, support, scheduling, databases, APIs, enterprise applications, and internal systems

Human escalation when needed

with relevant conversation context transferred instead of forcing users to start again

Voice quality and reliability controls

covering recognition, intent handling, response quality, latency, fallback behavior, and task completion

A voice AI foundation that scales

across users, workflows, channels, languages, integrations, and conversational use cases

Highlights

Voice AI Experiences Built Around Real Workflows.

AI Voice Assistants

What it meansBuild conversational assistants that answer questions, retrieve approved information, maintain context, and support defined user tasks.

Customer Service Voice Agents

What it meansHandle repetitive service requests, gather context, retrieve information, route cases, and escalate conversations when required.

Scheduling and Appointment Assistants

What it meansSupport booking, rescheduling, confirmations, reminders, information gathering, and other defined scheduling workflows.

Voice Workflow Automation

What it meansLet users initiate tasks, retrieve records, update defined information, or trigger approved workflows through natural conversation.

Employee Voice Assistants

What it meansGive employees hands-free access to knowledge, procedures, operational information, and defined internal applications.

Voice-Enabled Product Experiences

What it meansAdd conversational voice capabilities directly into SaaS products, mobile applications, portals, devices, and digital platforms.

Custom AI Voice Experiences

What it meansIntegrate synthetic or custom voice capabilities where appropriate to create a consistent voice experience for supported applications and workflows.

What we build

Voice AI Development Models Built Around Your Team.

Dedicated Voice AI Squad

A cross-functional team works across use-case design, conversation architecture, AI engineering, speech technology, integrations, testing, and rollout.

Voice AI Consulting and Team Extension

Conversational AI engineers, software developers, and data specialists strengthen your team across voice architecture, system integration, evaluation, and production implementation.

A focused initiative built around a defined use case such as customer service, scheduling, workflow automation, employee assistance, or embedded voice AI.

Under the hood

Voice AI Development Services We Deliver.

Voice Use-Case and Conversation Design

We map target users, intents, conversation paths, required information, business rules, supported actions, escalation points, and success criteria.

Included

Speech Recognition and Language Understanding

We integrate speech-to-text and language AI so the system can interpret natural requests, domain terminology, follow-up questions, and conversation context.

Included

Conversational AI and Agent Development

We build voice agents that can retrieve approved information, manage multi-turn conversations, reason over context, and perform defined actions.

Included

Business Data and System Integration

We connect voice AI with CRM, ERP, support, scheduling, databases, cloud platforms, APIs, and internal applications.

Included

Voice Generation and Experience Design

We integrate text-to-speech or custom AI voice generation where appropriate while balancing clarity, naturalness, latency, accessibility, and deployment requirements.

Included

Voice AI Evaluation and Guardrails

We test recognition, intent handling, response quality, unsupported requests, action boundaries, fallback behavior, latency, and representative conversations.

Included

Production Monitoring and Optimization

We monitor conversations, failures, response times, escalations, model behavior, system usage, and cost to improve performance after launch.

Included

Insights

Voice AI Insights & Frameworks.

Voice AI Use-Case Prioritization Model

A practical framework for ranking opportunities by interaction volume, user effort, workflow complexity, system readiness, business value, and automation potential.

Insights

Answer, Act, or Escalate Framework

A structured way to decide when voice conversational AI should provide information, perform a defined action, gather more context, or transfer the interaction to a person.

Insights

Voice AI Reliability Model

A framework for speech accuracy, conversation context, grounding, latency, permissions, action controls, fallback behavior, and production monitoring.

Insights

How we work

Our Voice AI Development Framework.

User Journey and Voice Use-Case Discovery

We identify who will use voice AI, which conversations or tasks it should support, where current friction exists, and which outcomes should improve.

Data and Integration Readiness

We assess knowledge sources, historical conversations, terminology, applications, APIs, permissions, workflow requirements, and integration gaps.

Voice and Conversation Architecture Design

We define speech recognition, language models, retrieval, conversation state, voice generation, system actions, escalation paths, guardrails, and evaluation criteria.

Build, Integrate, and Evaluate

We develop the voice AI experience, connect required systems, test representative conversations, and evaluate recognition, responses, actions, and latency.

Deploy, Monitor, and Improve

We monitor production interactions, failures, escalations, response quality, latency, usage, and cost while improving the system using real conversation evidence.

Selected work

Tailored engineering for your industry.

Zeme · Real Estate Cut development costs 50% and launched 3× faster with dedicated dev teams.

Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · Construction Scaled to 7-figure ARR with AI-augmented software teams.

Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate 56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Resources

Insights for tech leaders.

Framework · PDF

AI Governance Documentation Template

Framework · PDF

AI Security Vendor Scorecard

Framework · PDF

AI Governance Vendor Scorecard

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles

CEO, Leap

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev

Founder & CEO, Zeme

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli

Co-Founder, JobProgress

Questions

Frequently asked questions.

What is voice AI development?

Voice AI development involves building software that can understand spoken language, interpret user intent, generate natural responses, retrieve information, and support defined actions through conversational voice interactions.

How is voice AI different from a traditional IVR?

Traditional IVR systems usually rely on menus, keypad inputs, and predefined paths. Voice conversational AI can understand more natural language, maintain conversational context, retrieve dynamic information, and support broader workflows.

What can voice AI be used for?

Common use cases include customer service, scheduling, information retrieval, order or account support, employee assistance, workflow automation, voice-enabled products, and conversational interfaces.

Can voice AI connect with our existing business systems?

Yes. Depending on available interfaces, voice AI can integrate with CRM, ERP, support platforms, scheduling systems, databases, knowledge bases, cloud services, APIs, and internal applications.

Can you build a custom AI voice?

Where a custom synthetic voice is appropriate and the necessary rights and permissions are available, custom AI voice generator capabilities can be incorporated into the experience. The broader system still requires conversation logic, data access, integrations, and evaluation.

Can voice AI transfer a conversation to a human?

Yes. Escalation can be designed for unsupported requests, user preference, sensitive cases, failed automation, or defined business rules, with relevant context passed to a human where connected systems support it.

How do you measure voice AI performance?

Measurement can include speech recognition quality, intent accuracy, task completion, containment, escalation rate, response latency, conversation failures, user effort, workflow completion, and other use-case-specific outcomes.

Let's build

Turn Conversations Into Useful Actions.

Build voice AI that understands what people need, connects to the systems behind the answer, and helps them complete real workflows with less friction.

Explore Your Voice AI Use Case

Voice AI Development Services.

See Logiciel in action.

Why Voice AI Needs More Than Speech Recognition.

Understanding spoken words is only the first step

People speak naturally, interrupt, change intent, ask follow-up questions, and describe the same request in many different ways.

Business terminology, product names, abbreviations, accents, background noise, and call quality can affect speech recognition.

Voice experiences feel broken when transcription, model processing, integrations, or voice generation introduce noticeable delays.

Useful voice assistants often need to retrieve information or perform actions across CRM, support, scheduling, order, and internal systems.

Customer-facing voice AI needs clear boundaries around what it can answer, update, approve, or escalate.

Teams need voice AI engineered as production software with evaluation, observability, fallback behavior, and human escalation.

What You Get From Logiciel Voice AI Development.

Voice AI built around real user intent

Natural multi-turn conversations

Business-grounded responses

Connected workflow actions

Human escalation when needed

Voice quality and reliability controls

A voice AI foundation that scales

Voice AI Experiences Built Around Real Workflows.

AI Voice Assistants

Customer Service Voice Agents

Scheduling and Appointment Assistants

Voice Workflow Automation

Employee Voice Assistants

Voice-Enabled Product Experiences

Custom AI Voice Experiences

Voice AI Development Models Built Around Your Team.

Dedicated Voice AI Squad

Voice AI Consulting and Team Extension

Voice AI Development Services We Deliver.

Voice Use-Case and Conversation Design

Speech Recognition and Language Understanding

Conversational AI and Agent Development

Business Data and System Integration

Voice Generation and Experience Design

Voice AI Evaluation and Guardrails

Production Monitoring and Optimization

Voice AI Insights & Frameworks.

Voice AI Use-Case Prioritization Model

Answer, Act, or Escalate Framework

Voice AI Reliability Model

Our Voice AI Development Framework.

User Journey and Voice Use-Case Discovery

Data and Integration Readiness

Voice and Conversation Architecture Design

Build, Integrate, and Evaluate

Deploy, Monitor, and Improve

Tailored engineering for your industry.

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Scaled to 7-figure ARR with AI-augmented software teams.

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Insights for tech leaders.

AI Governance Documentation Template

AI Security Vendor Scorecard

AI Governance Vendor Scorecard

What our clients say.

Frequently asked questions.

Turn Conversations Into Useful Actions.