AI VOICE AGENT DEVELOPMENT SERVICES

A better first conversation.
A connected next step.

We design and build AI voice agents that answer, qualify, schedule, support and route calls—using your business rules and knowledge, connected to the systems where the work continues.

FOR US BUSINESSES AND GLOBAL TEAMS / INBOUND, OUTBOUND AND BLENDED CALL FLOWS

BUILT AROUND THE COMPLETE SYSTEMInbound callsAI receptionistLead qualificationAppointment bookingSupport routing

THE BUSINESS PROBLEM

A working service has to solve
more than the visible screen.

The interface is only one part. We map the decisions, systems, exceptions and ownership around it so the result can operate inside your business.

01 / AVAILABILITY

The call arrives when nobody can take it.

After-hours enquiries, peaks and repeated routine calls create missed opportunities. The answer is not merely picking up; it is recognizing what the caller needs and carrying the work forward correctly.

02 / CONTEXT

A voice without system access cannot finish the job.

A useful agent needs the right knowledge, live availability and customer context. It also needs narrow permissions so it can read or update only what that call requires.

03 / HANDOFF

The customer should never have to start again.

When a person takes over, they need the reason for the call, what was said, what was checked and what remains unresolved. We design the handoff as part of the conversation.

SOLUTION ORCHESTRATION

From a ringing phone
to a completed action.

The voice model is one component. The working solution coordinates telephony, conversation logic, company knowledge, business applications and human escalation in real time.

  1. 01
    CALL ENTRY

    Answer and identify

    Receive or place the call, provide the agreed disclosure, detect language and confirm who the caller is when the task requires it.

  2. 02
    CONVERSATION

    Understand the job

    Classify intent, collect the minimum required information and handle interruptions, corrections, silence and changes of direction.

  3. 03
    KNOWLEDGE

    Ground the response

    Use approved service information, policies and account context. If the answer cannot be supported, the agent asks, defers or escalates.

  4. 04
    ACTION

    Work in connected systems

    Check a calendar, qualify a lead, create or update the CRM record, open a ticket, send a confirmation or prepare the next step.

  5. 05
    HANDOFF

    Bring in a person

    Transfer live where possible or create a callback task with a structured summary, priority, transcript and the relevant customer record.

  6. 06
    IMPROVEMENT

    Review what happened

    Log outcomes and failure reasons, evaluate calls against the agreed rubric and use reviewed conversations to improve the system safely.

WHAT WE BUILD

The customer experience
and the machinery behind it.

Scope is tailored after discovery. These are the workstreams we combine when the engagement calls for them.

01

Inbound AI receptionist

A front door for calls that should be answered consistently and routed with context.

  • Intent and caller-detail capture
  • Hours, locations and service questions
  • Department or specialist routing
  • Voicemail and callback workflows
02

Lead qualification & booking

A conversation that moves an enquiry from interest to the correct commercial next step.

  • Qualification criteria and branching
  • Live calendar availability
  • Booking, rescheduling and reminders
  • CRM record and source attribution
03

Customer service by voice

Tier-one assistance grounded in approved content and live customer information.

  • Order or appointment status
  • Known policy and FAQ responses
  • Ticket creation and categorization
  • Priority and human escalation rules
04

Outbound call workflows

Permission-aware calls for clear, bounded use cases where a voice interaction is appropriate.

  • Appointment confirmations
  • Lead follow-up and reactivation
  • Information collection
  • Opt-out and retry handling
05

Conversation design

The prompts, tools and recovery paths that make the call coherent under real conditions.

  • Tone and disclosure language
  • Interruption and ambiguity handling
  • Sensitive-topic boundaries
  • Multilingual flow where required
06

Operations & evaluation

The layer your team uses to understand performance and improve the service after launch.

  • Call outcome dashboard
  • Transcripts and structured summaries
  • Evaluation set and scorecard
  • Cost, latency and failure monitoring

QUALITY, CONTROL & FAILURE HANDLING

A good voice agent knows
when to stop talking.

We define the boundaries before writing the happy path. High-risk decisions, unsupported answers and difficult conversations should reach a person with the context intact.

01

Disclosure and consent are designed into the flow

The opening, recording notice, outbound permission and opt-out behavior are set for the jurisdictions and use case in scope. Your legal team approves the final language where required.

02

Actions use narrow permissions

The agent receives only the tools needed for its task. High-impact changes, payments, cancellations and exceptions can require human approval or remain human-only.

03

Real calls become the acceptance test

We test accents, noise, interruptions, repeated questions, tool failures, unavailable slots and ambiguous requests—not just scripted conversations that always cooperate.

04

Handoff is an outcome, not a failure

Low confidence, frustration, urgency, sensitive topics and explicit requests for a person trigger an intentional transfer or callback workflow.

A DEFINED ENGAGEMENT

What you receive.
What happens next.

There is no one-size-fits-all package. We agree the scope, dependencies, acceptance criteria and quote before implementation begins.

Core deliverables

  • 01
    Conversation and escalation map

    Caller intents, business rules, disclosures, allowed actions and human handoff conditions.

  • 02
    Configured voice agent

    Prompts, knowledge access, voices, tools and call flows built for the agreed use cases.

  • 03
    Business-system integrations

    Calendar, CRM, help desk, messaging and internal workflows connected with scoped access.

  • 04
    Evaluation suite

    Test calls, grading rubric, expected outcomes and documented launch thresholds.

  • 05
    Production operations

    Phone numbers, environments, logs, alerts, cost visibility and reviewed fallback behavior.

  • 06
    Handover and operating guide

    Documentation, team training and a clear process for changing knowledge or conversation rules.

Delivery process

  1. 01
    Discover the calls

    Review call reasons, volume patterns, current scripts, systems, risk and where a person must remain involved.

  2. 02
    Prototype the conversation

    Build the core flow and test it with your team before connecting actions or moving a live number.

  3. 03
    Connect and evaluate

    Integrate the required systems, create realistic tests and resolve failures against the agreed scorecard.

  4. 04
    Launch in controlled stages

    Start with a bounded call type or traffic segment, review actual outcomes and expand only when the evidence supports it.

PLATFORMS & INTEGRATIONS

We choose the stack
after we understand the system.

We are not tied to one voice platform. The choice depends on call geography, latency, language, telephony, compliance requirements, integration depth and the operating control your team needs.

Retell AIVapiElevenLabsTwilioOpenAIAnthropicHubSpotSalesforceCalendlyZendeskn8nCustom APIs

BEFORE WE START

Questions worth
answering early.

We will tell you when a simpler implementation is the better choice and when a dependency needs to be fixed before development begins.

What can an AI voice agent do?

A well-scoped agent can answer inbound calls, respond from approved knowledge, collect information, qualify leads, check availability, book or reschedule appointments, update a CRM, create a support ticket and route or transfer the call. The specific actions depend on your systems and the permissions you approve.

Is an AI receptionist the same thing as a voice agent?

An AI receptionist is one use case for a voice agent: it answers the main line, understands why someone is calling and routes or completes a defined next step. Voice agents can also handle appointment workflows, customer support, qualification and bounded outbound calls.

Will callers know they are speaking with AI?

We design clear disclosure into the opening and do not position the system as a human. The final wording and any recording notice depend on the use case and applicable rules, and should be approved by your legal team where necessary.

Can it transfer a call to our team?

Yes. Handoff can be a live transfer, a warm transfer with a short summary, or a callback task when nobody is available. We define which intents always go to a person and what information accompanies the transfer.

Can it use our CRM and calendar?

Yes, where the systems provide suitable APIs or connectors. We scope read and write permissions separately, validate records before updates and define what happens when the tool is unavailable or returns conflicting data.

How do you test voice quality?

We use a scenario set covering expected calls and difficult conditions: interruptions, accents, background noise, silence, corrections, unsupported questions, integration failures and requests for a person. Launch criteria are agreed against outcomes, not whether the voice merely sounds natural.

How much does development cost?

Pricing depends on the number of call flows, integrations, languages, compliance requirements, expected volume and support model. After discovery, we provide a tailored scope and quote; there is no one-size-fits-all package.

YOUR REQUIREMENTS. A CLEAR SCOPE.

Let’s build the version
your business needs.

Tell us what you want to change, what systems are involved and what a useful result looks like. We will shape the engagement and provide a tailored quote.

Talk to our team info@chronexa.io