The calls you keep missing, and the work nobody should be doing by hand.
An AI agent earns its place when the same three questions arrive fifty times a day and a missed one costs you money. We scope from your actual call volume rather than from a feature list — and if the numbers say an agent is the wrong answer, we say so during scoping instead of after you have paid.
Three things that actually get used
Agents that answer the phone
Takes the booking, checks availability, answers the opening-hours question, and hands over to a human the moment the call stops being routine. Speaks English and Hinglish.
- Roughly a second to first response, plus whatever your telephony adds
- Every call transcribed and pushed to WhatsApp or your CRM
- Handover rules you set, not ones we assume
Support that reads your documents
Answers from your own price lists, policies and manuals rather than from the open internet. Grounded in your documents, with the source it used attached to the answer so a wrong one is traceable — not impossible, traceable.
- Says “I don't know” and fetches a human, by design
- WhatsApp, web and Telegram from one knowledge base
- You update the documents; nobody retrains anything
The nightly job nobody wants
Moving data between two systems that refuse to talk, enriching leads, raising invoices, producing the report someone currently rebuilds by hand every Monday morning.
- Runs on a schedule and tells you when it fails
- Reports out as PDF or email, wherever they already go
- Plain Python — readable by whoever comes after us
Four numbers decide this, and you already have them
What we ask for
- Calls per day — the peak hour, not the average
- How long an average call runs
- What share of them are the same three questions
- What one missed call costs you
That last one is the whole business case. Without it no automation can be justified honestly, and we would rather find that out in week zero than in month six.
See one running
An outbound calling console: pick a lead, place the call, and watch the transcript, the model's reply and the synthesised voice go back down the line in real time. Built as a technical assignment rather than for a client, so treat it as evidence the plumbing works — not as a case study.
Open the console ↗In production rather than demo: the AI that fronts LazyEat decides with you, then orders.
When we will tell you not to
An agent is a poor fit when calls are unpredictable, emotionally loaded, or valuable enough that a person should always pick up. The recurring per-minute cost also scales with how much your phone rings, so low volume rarely repays the build.
We have written the whole calculation down: what an AI voice agent actually costs to run.
What people ask before buying an AI agent
What does an AI voice agent cost to run?
The build is the smaller number. The recurring cost is per minute — speech-to-text, the model, text-to-speech and telephony — so it scales with how much your phone rings. We scope it from your real call volume, and low volume rarely repays the build.
Can an AI agent answer calls in Hindi or Hinglish?
Yes. The phone agents we build speak English and Hinglish, take the booking, answer routine questions like opening hours, and hand the call to a person the moment it stops being routine. Every call is transcribed and sent to your WhatsApp or CRM.
Will a WhatsApp bot make up answers?
It answers from your own price lists, policies and manuals, not the open internet, and attaches the source it used so a wrong answer is traceable. When it does not know, it says so and fetches a person — by design.
When is an AI agent the wrong choice?
When calls are unpredictable, emotionally loaded, or valuable enough that a person should always pick up — or when call volume is too low to repay the build. We ask for four numbers up front and tell you during scoping if an agent does not make sense.
Talk to the founder, today.
WhatsApp, or leave a number and get a call back — usually the same day. No forms about budget, no sales team.