AI Voice Agents

AI Voice & Chat Agents: How We Build a Receptionist That Never Misses a Call

An AI receptionist that answers every call and enquiry, qualifies the caller, books the appointment, and hands off to a human under rules you set. This page explains how we build one, stage by stage; it is a capability page, not a client story.

5

Build Stages

Defined before launch, always

Human Handoff Rules

2-5 weeks depending on integrations

Typical Build Window

Staged: one line first, then full traffic

Launch Pattern

These figures describe how the work is structured — stages, gates, and timelines — not claimed client outcomes. We publish capabilities and our own internal systems as proof, never invented case studies.

The Challenge

Most businesses lose enquiries at the exact moment of intent: the call rings out during a job, the WhatsApp message sits unread overnight, the caller tries the next listing. By the time someone calls back, the buyer has already booked elsewhere. The revenue leak is invisible because nobody logs the calls that were never answered.

An AI voice agent is a receptionist that picks up on the second ring, every time, in Hindi or English or both. It greets the caller, asks the qualifying questions you would ask, books the appointment into your real calendar, logs the enquiry into your CRM, and — this is the part that separates a working system from a demo — hands the conversation to a human the moment your rules say it should. The chat version does the same on WhatsApp and your website.

Before going further, the framing, stated plainly: this page describes how we build these systems, not a story about a named client. We build our own automation the same way — every AI output in our own operation sits behind a human approval gate, and that habit shapes how we design handoff rules for voice agents. What follows is the method.

When You Need This

  • Your phone rings out during jobs, consultations, or after 7 pm, and you have no idea how many callers gave up.
  • Enquiries arrive on WhatsApp at midnight and get answered at noon, after the buyer has moved on.
  • Whoever answers the phone asks different questions each time, so half your leads arrive unqualified.
  • Your team spends the first hour of every day returning missed calls that mostly go to voicemail in the other direction.
  • You tried a chatbot once and turned it off because it frustrated real customers.

How the Work Is Done

1. Listen First

We start with your actual call patterns: what people ask, when they call, what a good outcome looks like, which calls should never touch an AI. From this we map the call flows — usually five to ten real conversation types, not a hundred hypothetical ones. Building from real enquiries rather than imagined ones is the single biggest craft decision in the project; agents scripted from imagination handle imaginary callers well.

2. Script and Voice

Each flow becomes a script with a defined goal: book, qualify, capture, or route. We write the language the way your best staff member speaks it, including the regional-language versions where callers expect them. The agent gets explicit boundaries — prices it may quote, promises it may never make, questions that trigger a handoff. You review and approve every script before it ever takes a call. That approval is a hard gate, not a courtesy.

3. Wire the Systems

The agent is only useful if the outcome lands somewhere real. We integrate the calendar so bookings are genuine slots, not a note someone must retype; the CRM so every conversation creates or updates a lead; and WhatsApp Business API for the chat side. Missed-call recovery gets wired here too: a call that rings out triggers an immediate callback or WhatsApp message while the intent is still warm.

4. Set the Handoff Rules

Before launch, we write down — in plain language you sign off on — exactly when a human takes over: an angry caller, a medical or legal question, a deal above a threshold, anyone who asks for a person. The agent transfers live during business hours and takes a structured message with an alert outside them. An agent without written handoff rules is a liability with a pleasant voice, so we treat this stage as non-optional.

5. Launch in Stages

The agent goes live on a slice of traffic first — one phone line, or after-hours only. For the first weeks we read transcripts with you, tighten the scripts, and fix the questions it fumbles. Only when the transcript review is clean does it take full traffic. Every conversation stays logged and searchable afterward, so quality is something you can check, not something you have to trust.

Where This Goes Wrong

  • Letting the agent improvise. An unconstrained model will eventually invent a price or promise a refund. Tight scripts with explicit boundaries are what make the system safe to put on your phone line.
  • No handoff path. The fastest way to lose a customer is trapping an upset one in a loop with a machine. Escalation has to be designed in from day one, not patched in after the first complaint.
  • Skipping the transcript weeks. Teams that launch and look away find out about a broken flow from an annoyed customer. The review period is where a decent agent becomes a good one.
  • Booking into a fake calendar. If the integration writes to a spreadsheet someone checks daily, double-bookings follow and trust in the system dies. Real-time calendar sync is the difference between automation and clerical work with extra steps.

What You Get

  • The voice and chat agents, live on your number, your WhatsApp, and your website.
  • Every script and call-flow map in writing, approved by you.
  • Calendar and CRM integrations running against your own accounts.
  • The written handoff rulebook and the transcript dashboard.
  • Full ownership: the code, the configuration, and every conversation log are yours. Nothing is held hostage in our accounts.

Every missed call is a buyer at peak intent reaching the wrong outcome. If your phone or inbox leaks enquiries, this is the system that plugs it. See the AI Voice Agents service →

Project Details

Client

Capability showcase — how we do this work

Industry

Customer Communication & Missed-Call Recovery

Services

AI Voice Agents

Timeline

2-5 weeks depending on scope and integrations

Team

Designed and built by Naavim Labs

Scope

Call-flow and script design, voice and chat agent build, calendar and CRM integration, handoff rules, staged launch with transcript review

Delivery Snapshot

Stack

Next.jsTypeScriptSupabaseGemini (Vertex AI)WhatsApp Business API

Deliverables

  • Call-flow map built from your real enquiry patterns
  • Voice agent for inbound and missed-call callback
  • Chat agent on WhatsApp and your website
  • Calendar booking and CRM logging integration
  • Written handoff rules: exactly when a human takes over
  • Transcript dashboard with every conversation logged
  • Staged rollout plan with a review gate before full traffic

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