TaskMint Labs

AI receptionist · voice agent · chat assistantAI assistants that answer,
then hand off to your team.

I build AI voice agents and chat assistants for small businesses. They answer the routine questions, collect the details your team needs, book appointments where it makes sense, and pass anything sensitive or unusual to a person, with a summary saved to your CRM.

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Why teams look at AI assistants

The phone rings
while you’re busy.

Missed calls during the workday.

When everyone is with a customer, calls go to voicemail, and some people won’t leave a message.

After-hours and weekend inquiries.

Questions come in when you’re closed and wait until the next working day, or longer.

The same questions, all day.

Hours, what to bring, how booking works. Fair questions, but the same ones again and again.

Details get lost after the call.

Notes on paper or in someone’s head mean every callback starts from zero.

A good fit when calls and messages follow patterns.

Clinics, salons, home services and trades, property managers, professional firms, and any team that gets a lot of similar calls.

Not a fit: if most calls need judgment, empathy, or negotiation from the first sentence, an assistant should only take messages, or a live answering service may serve you better.

  • Many calls or chats ask the same handful of questions
  • You know what information you need from a new caller
  • There’s a clear rule for when a person must take over
  • You’d like coverage outside business hours without adding shifts
What I build

Example workflows.

Each assistant is set up for your calls, your questions and your handoff rules. These are the common builds.

AI receptionist for inbound calls

Answers in your business’s name, handles common questions from information you’ve approved, takes the caller’s details, and transfers the call or takes a message when a person is needed.

  • Call → answer → details → handoff

Vapi or Retell, your phone number

After-hours call answering

Covers evenings and weekends: notes why they called, flags urgent calls using your rules, and books a callback for the next working day.

  • After hours → triage → callback booked

Voice platform, calendar, SMS

Website chat assistant

Answers questions on your site from your own approved content, asks a few qualifying questions, and offers to book or hand the chat to a person.

  • Question → answer → book or hand off

Website chat widget, your CRM

Text message assistant

Replies to incoming texts, gathers details, and keeps the thread in one place so someone on your team can step in at any point.

  • Message → reply → team inbox

SMS provider, team inbox

Conversation summaries to your CRM

Every conversation ends with a short record: who got in touch, why, what was promised, and what happens next. Saved to your CRM or sent to the right person.

  • Conversation → summary → CRM

ClickUp or your CRM, n8n, Make or Zapier

Human handoff rules

Clear limits on what the assistant can say and do, and a set path to a person for complaints, emergencies, payments, or anything off-script.

  • Edge case → person, with context

Call transfer, SMS alert, team inbox

Setting limits

What an AI assistant should,
and shouldn’t, handle.

Good jobs for an assistant

  • Answering common questions from information you’ve approved
  • Collecting name, contact details, and the reason for the call
  • Booking, rescheduling, or requesting a callback
  • Taking after-hours messages and flagging urgent ones
  • Routing the conversation to the right person

Keep with a person

  • Complaints and sensitive conversations
  • Quotes, exceptions, or anything that needs judgment
  • Payments and personal data beyond what’s needed
  • Emergencies: the assistant points callers to the right number and alerts your team

What an AI receptionist costs to run

Running costs come from a few pieces, and you should see each one before approving a build: the voice platform (usually billed per minute), the AI and speech services, a phone number and call minutes, any texts sent, and any CRM or calendar features you don’t already have. Most of it is usage-based, so the cost depends on how many calls you get and how long they last.

A note on outbound AI calls

In February 2024 the FCC confirmed that AI-generated voices count as “artificial” voices under the Telephone Consumer Protection Act. So outbound calls that use an AI voice generally need the person’s prior express consent (FCC declaratory ruling 24-17). I focus on inbound calls and on people who asked to hear from you, and I recommend the assistant says it’s an AI at the start of every call. This is general information, not legal advice.

How it works

From first call
to launch.

How I work
  1. 01

    Free audit

    We look at your calls and messages, the common questions, and where a person must step in.

  2. 02

    Script & knowledge

    We agree what the assistant can say, what it collects, when it hands off, and how we’ll measure it.

  3. 03

    Build & test

    I test it with realistic calls, interruptions and background noise before any customer hears it.

  4. 04

    Launch

    Start with limited hours or one line if you like, then adjust once real calls come in.

Tools

Platforms chosen
for your calls.

I pick the voice platform for each project based on voice quality, response speed, call transfers and running cost, and connect it to your calendar and CRM. You hear test calls before anything goes live.

  • Vapi
  • Retell
  • OpenAI
  • Claude
  • Cal.com
  • ClickUp
  • Google Sheets
  • n8n
  • Make
  • Zapier
  • APIs and webhooks
  • Your CRM

What you get.

  • A written script and knowledge base that you approve
  • A tested assistant with defined handoff rules
  • Conversation summaries delivered to your CRM, inbox, or team chat
  • Transcripts of every conversation, so you can see what callers asked

Wherever I can, I build in accounts your business owns, so the workflows, logins and data stay yours.

Questions

Common questions.

Something else? Ask me on the free call or email fahad@taskmintlabs.com.

How much does an AI receptionist cost?

There are two parts: the build, which depends on scope, and running costs, which are mostly usage-based (voice minutes, AI usage, a phone number and calls, and any texts).

What happens if the assistant doesn’t know the answer?

It shouldn’t guess. It takes a message, transfers the call or books a callback, following your rules, and the summary tells your team exactly what the caller needed.

Can it make outbound calls?

I focus on inbound calls and on following up with people who asked to hear from you. Outbound calls that use an AI voice generally need prior express consent under the TCPA, so I treat them case by case. This is general information, not legal advice.

What about privacy and call recordings?

We agree what the assistant collects, where transcripts and recordings are stored, who can see them, and how long they’re kept. Callers should be told if calls are recorded, and the assistant shouldn’t ask for sensitive details it doesn’t need.

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