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01 of 6Win customers

Leads wait until Monday. The buyer doesn't.

Every enquiry gets an answer and a price while the buyer still wants one, on the channel they wrote in.

Book the sessionSee all six
A sample chat on a phone: a customer asks for a quote and gets it, sent after a salesperson said yes.

What we build.

Answers every enquiry on the channel it came in on, prices the quote on the same chat, chases every open quote, finds the next buyers and spots a customer going quiet.

How the fix goes
  1. Saturday, 7:42 pmThe enquiry lands on your site, your mail or WhatsApp.
  2. Seconds laterThe AI agent answers, asks your qualifying questions and offers a time.
  3. A person takes overThe booking is on a salesperson's phone, with everything the buyer said.

What we measure, before and after

Your scorecard
  1. Time to a first reply and to a priced quote
  2. Quotes that got an answer
  3. Customers who came back

Counted on your own work before we build, and again once it passes. We never print a saving we have not measured.

Who it is for
  • Owners whose leads wait or who live on referrals
  • Sales, marketing and customer service heads
What changes

Enquiries get an answer and a price while the buyer still wants one, and you hear a customer is leaving while you can still act.

Said plainly

“Nothing we have built answers a phone call yet.”

Chat, mail and quotes we have built and can show you. A voice agent is built for you with a pass mark it has to clear on your own past calls first, and callers are always told they are speaking with an AI.

The eight problems it answersAsk to see it on the call
8 of the 24 problems in our report

The eight problems it answers, and what they cost.

Each one is a page of our report, with its figure, its source and its year, and under it the window shows what we build for it at work.

  • A study we read A published figure we read ourselves.
  • Our own sum Arithmetic for an ordinary company, shown in full.
  • No number yet Nothing we would print yet.
01Win customers
A study, 2011

Leads wait until Monday.

An enquiry lands on Saturday evening, and by the time someone calls on Monday the buyer has already spoken to two other firms.

What fixes it

An AI agent replies to every enquiry within minutes on your site, mail and WhatsApp, asks your qualifying questions and books the call on a salesperson's calendar.

What it costs, and every source
A sample chat on a phone: a weekend enquiry answered at once, inside the firm's rules, and a viewing booked.
02Win customers
Our own sum

Quotes sit in an inbox for days.

The request came in on Tuesday, the one person who prices it is on site until Thursday, and the buyer went with a faster quote.

What fixes it

An AI agent reads the request, prices it from your own rate card and margin rules, and leaves a finished quote or tender draft for a person to check and send.

What it costs, and every source
A sample job: four AI agents work through an 84 page tender, then wait for a person to say yes.
03Win customers
Our own sum

Calls ring out.

The phone rings at 7:40 in the evening or in the lunch rush, nobody picks up, and the customer books whoever answers first.

What fixes it

A voice agent answers every call, at lunch, after closing and on Sundays, in the caller's language, books or solves the simple ones and passes the rest to a person with notes.

What it costs, and every source
A sample call: an AI voice agent books a dental appointment in Hindi and English.
04Win customers
Our own sum

The same twenty questions, all day.

Your team answers 'where's my order', 'what does it cost' and 'when is my slot' by hand, on every channel, all day.

What fixes it

An AI agent answers from your own policies, orders and records on WhatsApp, chat, mail and phone, and hands anything unusual to a person.

What it costs, and every source
A sample customer app: an order followed to the door, and a question answered from the delivery plan.
05Win customers
A study, 2024

What did my salespeople do today?.

Calls, quotes and promises sit in each salesperson's WhatsApp, so the Friday report is a guess and a resignation takes the accounts with it.

What fixes it

Every call, quote and promise logged from the salesperson's phone and WhatsApp into the company's own system, a live pipeline the owner can read any day, and each customer's history kept when a salesperson leaves.

What it costs, and every source
A sample sales day: calls, quotes and promises logged from the sellers' phones, and one credit request brought to the owner.
06Win customers
A study, 2024

Marketing spend, return unknown.

The agency sends a report full of clicks, sales says the leads are poor, and nobody can tell you which rupee brought in a customer.

What fixes it

Every enquiry and sale traced back to the ad, post, event or referral that started it, in one view the owner can read on a phone.

What it costs, and every source
A sample report of what came back: every customer traced to the search ad, the trade fair or the referral that brought them.
17Win customers
A study, 2014

Customers leave quietly.

Nobody noticed the complaints getting sharper or the orders getting smaller until the account had already gone to a competitor.

What fixes it

A watch on orders, tickets, payments and the tone of messages that flags customers going quiet or getting angry, with a drafted note for the account owner.

What it costs, and every source
A sample week of customers going quiet: orders, tickets and late payments watched, and a note drafted for the account's owner.
18Win customers
A study, 2025

The page has gone silent.

You know you should show up where buyers look, but the one person who does marketing is also doing three other jobs.

What fixes it

A content engine that turns the founder's voice notes and your real work into a month of posts, articles and short films, each one waiting for your yes.

What it costs, and every source
A sample week of posts, drafted in your voice, each waiting for your yes.
The 24 problems, in the reportEvery problem, by team and trade

For example, in your trade.

Three systems our study of 44 industries names for win customers, each in its trade's own words.

Each is a system our study names for that trade, shown as an example and never as a client's result.

Every trade we have studiedEvery team

Each is a system our study names for that trade, shown as an example and never as a client's result.

What it is made of.

The parts we build win customers from, each opening its own page in what we build.

It draws on 9 of our twelve layers

Built before marks a part we have built a system for, for our own company or for another organisation. The rest we build for you with a pass mark it must clear first.

What we build: the twelve layers

The terms, in writing.

The old way keeps running until the new one has passed on your own work.

  1. “I'll pay and nothing will work.”
    It has to pass on your old work before it touches today's.
  2. “The price will creep.”
    One fixed price, in writing, before any work.
  3. “I'll be locked in.”
    Stop any month and keep everything.
  4. “I'll lose control.”
    Inside your rules it goes at once. Outside them it waits for one tap.
  5. “The AI will get something wrong.”
    It stops and tells your named person at once. We fix it at our cost.
  6. “My data will leave.”
    Private AI on your own machine by default for personal data.
How we work, step by step

You leave knowing what we would build first, and why.

45 minutes on a video call with our founder and the people who live with the problem. Nothing to sign.

Book the sessionSee the six

Eashan Gupta Founder. He leads the session himself.

If we're the wrong firm, Eashan says so on the call. And he says what he would do in your place.

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