Most voice AIonly talks.Ours does the work.
Our agents speak Urdu first — then act on it. They check live availability, book the slot, confirm the order and write the outcome into your system, while the caller is still on the line.
It is not answering the phone. It is doing the job.
The call on the left. What it is doing inside your systems on the right, at the same moment.
- Ayeshaالسلام علیکم، میں عائشہ بات کر رہی ہوں شفا کلینک سے۔Hello, this is Ayesha calling from Shifa Clinic.
- Ayeshaآپ کی کل ڈاکٹر فرحان کے ساتھ اپائنٹمنٹ ہے۔ کیا آپ آ رہی ہیں؟You have an appointment tomorrow with Dr. Farhan. Will you be attending?reads · Clinic HMS
- Fatima Bibiجی، لیکن کل مشکل ہے۔ کوئی اور دن مل سکتا ہے؟Yes, but tomorrow is difficult. Could I get another day?
- Ayeshaبالکل۔ ایک لمحہ، میں ڈاکٹر صاحب کا شیڈول دیکھتی ہوں۔Of course. One moment, let me check the doctor's schedule.reads · Doctor scheduling
- Ayeshaجمعرات صبح گیارہ بجے خالی ہے۔ کیا یہ ٹھیک رہے گا؟Thursday at 11am is free. Would that work for you?
- Fatima Bibiجی، بالکل ٹھیک ہے۔Yes, that works.
- Ayeshaہو گیا۔ جمعرات گیارہ بجے آپ کی اپائنٹمنٹ محفوظ کر دی ہے۔Done. I've moved your appointment to Thursday at 11.writes · Clinic HMS
- Ayeshaآپ کو تصدیقی پیغام بھیج دیا ہے۔ شکریہ!I've sent you a confirmation message. Thank you!writes · Clinic HMS · WhatsApp
A scripted call, voiced by our own agent. The systems panel illustrates the integration work an agent does during a call; it is not a log from a live deployment. The eight agents on the demos page are full recorded calls.
Anyone can generate a voice. Almost nobody makes it act.
A chatbot with a voice ends the call with a promise. An agent ends it with your system already updated.
It does the work, not just the talking
Checks availability, books, reschedules, confirms, logs the outcome. Every call ends with a record changed — not a note for someone to action on Monday.
See what it does →Urdu-first, not Urdu-translated
Built on native Urdu speech, including the Urdu-English code-mixing real callers use. Not an English agent with a translation layer bolted on.
Hear it in Urdu →Wired into what you already run
Your booking system, ERP, CRM or order feed — reached live during the call. An agent that cannot read your systems is only a recording.
See the connections →Listen before you believe us
Every voice here is a working Montegritty agent handling a real call in Urdu. Press play, or open any of them for the full recording and transcript.

Hospitals, Clinics & Diagnostic Labs
Ayesha
Appointment & No-Show Desk
Fills the empty chair. Confirms, reschedules and preps every patient.
Three sectors, in depth
Three where the calls are highest-volume, the literacy gap is widest, and we have done the work.
Healthcare
Clinics, hospitals, labs and diagnostics
Confirms the appointment, reschedules against live availability, and updates the record.
What we build for healthcare →Education
Schools, colleges and training networks
Logs the absence, folds in the fee reminder, writes both into your school system.
What we build for education →Front desk
The businesses that live on the phone
Confirms the order, qualifies the lead, books the slot — then writes it to your CRM.
What we build for front desk →This is what makes it an agent
An agent that cannot reach your systems is a recording. Ours read and write yours mid-call, through MCP and n8n. These are the ones we are asked for most.
- n8n
- Make
- Zapier
- HubSpot
- Zoho
- Odoo
- Shopify
- WooCommerce
- Google Sheets
- Google Calendar
- Gmail
- Notion
- Airtable
- Telegram
- Discord
AlsoSlack · Salesforce · Twilio · Microsoft 365 · Freshdesk · Zendesk — and anything else that exposes an API.
Tell us the system and we confirm the route before you commit to anything.
You also get the dashboard.
Every call is transcribed, classified and written back as it ends — so the system answering the phone is the system reporting on it.
Shifa Clinic Network
3 branches · 8 agents · Urdu, English
Calls by hour
4,182 calls · midnight to 11pmBusiest hour is 18:00 — 441 calls. At four minutes a call that is 30 people on the phones at once, before breaks, shift overlap or a single one of them being unavailable.
How the calls ended
Classified from the transcript, every callBy agent
Top 6 of 8 · calls handled and share resolved alonePakistan runs on voice, not text
Almost everyone in Pakistan answers a phone. Four in ten adults cannot comfortably read the message you sent instead.
national literacy. Female literacy is 52.8%.
mobile penetration. Connectivity has outrun literacy.
annual growth in healthcare voice AI globally.
of Pakistani online orders are cash on delivery.
Every call these agents make is already being made today — badly, expensively, and only to a fraction of the list.
Which call would you hand over first?
Tell us the call your team makes most often. Within a week we will tell you whether an agent is worth building for it, and what it would take.