AI agents and automation

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.

ENTERPRISE MULTI-STACK
Java · Python · Node · Go · Next.js · Flutter
JavaPythonNext.jsGo / RustPostgreSQL / AWS
ArchitectureEnterprise microservices
First milestoneLive staging URL, week one
Upfront30%Refundable after milestone one
30%upfront — less than almost any agency
Demostrigger the remaining payments — working milestones, not dates
100%refund if milestone one doesn't earn your trust. No questions.
What we build

Three things that actually get used

01 / Voice

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
02 / WhatsApp

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
03 / Workflows

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
Before you spend anything

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.

Working demo · desktop only

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.

Get your number in 2 minutes.

Instant estimate range. Exact quote after one 20-minute call. Held build slot. Money-back milestone one.

Book a call