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AI chatbot development

Someone is on the site right now.

People land on your site with a question they will not put in a form. They read, they hesitate, they leave. A good bot catches that moment; a bad one makes it worse.

Book a call Answers in seconds, at any hour.
f↗Conversation studioILLUSTRATIVE EXAMPLE● Available
A useful answer.
A next step.
Can I connect this to our CRM?
Checking your material
Yes. Your setup guide covers CRM connections. I can help you find the right next step.↗ Source: integrations guide
Can someone walk us through it?
Of course. I'll pass the context to your team.
CONVERSATION RECORD
AM
Alex MorganWebsite visitor
INTERESTCRM integration
NEXT STEPAnswer the question
✓ Context saved

Where it goes wrong

Most bots make the visitor work.

A menu, not an answer

Four buttons, none of which match the question. The visitor types anyway and gets the first button back.

Confident and wrong

It invents a delivery time or a price. You find out when the customer quotes it back at you.

A transcript, not a record

The chat ends in a dashboard nobody opens, and nothing about it reaches the people who would act on it.

How it runs

From question to record.

01

We measure

The Draw: what people actually ask, how many of them there are, and how many go unanswered today.

02

We feed it

Your pages, your documents, the replies your team has already written. You decide what goes in and what stays out.

03

It goes live

On the site first, then the channels you use. Every conversation writes a record from day one.

04

It gets sharper

Questions it could not answer come back to you as a list. You answer once and that answer is there the next time it is asked.

Under the hood

Five layers, not one prompt.

Most of what separates a bot that helps from one that embarrasses you happens below the conversation. This is what we build under it.

BEHIND THE CONVERSATION01 / 05

Scroll to explore the layers ↓

01 / RETRIEVAL

An answer with a source.

Your documents are split into passages and each one is turned into a vector. That is what lets it match on meaning instead of keywords. A question retrieves the closest passages, a second pass re-ranks them, and only the best few reach the model.

Every answer keeps a pointer back to the passage it came from. When something reads wrong, you fix the paragraph that caused it, not the prompt.

02 / MODEL ROUTING

The right path for the question.

Not every message needs the same model. Classifying intent is cheap work and runs on a small one; the reply that a customer reads runs on a strong one.

The chain has a fallback. If a provider slows down or goes dark, the next one picks up mid-conversation instead of leaving someone staring at a spinner.

03 / TOOLS

Real actions. Real records.

Anything factual is a function call, not a guess: real calendar availability, a live order status, a write into the CRM. Each tool has a typed schema, so the model cannot invent a parameter.

Writes are made repeatable. If the same call fires twice, you get one record, not two.

04 / CHANNELS

One person. One conversation.

The website widget, WhatsApp Business and Instagram all speak to the same brain through their own APIs. Each has its own rules about templates, session windows and who may message first.

Identity is tied to the person, not the channel. Someone who asks on the site at night and follows up on WhatsApp is one thread, not two.

05 / GUARDRAILS AND EVALS

A person when it matters.

Below a confidence threshold it stops and offers a person. Refusing is a designed outcome, not a bug: it is cheaper than a wrong price quoted in writing.

Before any change ships, it runs against a set of real questions with known answers. Personal data is masked on the way in and retention is set to a number you choose.

Compared with

The two usual answers.

A live chat teamAn off-the-shelf botFlecta
At 3amOfflineAnswers, sometimes wronglyAnswers from your material
What it knowsWhatever that person knowsA scraped page dumpWhat you approved
When unsureAsks a colleagueGuessesSays so, then hands over
After the chatA note, if someone writes oneA transcript in a dashboardA record in your CRM
Cost of volumeMore peoplePer-conversation pricingFixed build, then yours

Questions.

How do we stop it inventing things?

Two ways. It only draws on material you approved, and saying so when it does not know is treated as the right answer. Outside that material, it offers a human instead.

Can it book meetings?

Yes, against a real calendar with real availability. It asks the qualifying questions first, so what lands in the diary is a meeting worth taking.

Which channels can it work on?

Your site first, then WhatsApp and Instagram. The history follows the person across them, so nobody has to repeat themselves.

What happens to the conversation afterwards?

It becomes a record: who it was, what they asked, what they were told, what was promised. That goes where your team already works.

If we stop paying you, does it stop?

No. The bot, its knowledge base and every integration run where you host them, and none of it is rented from us. Conversations carry on the day we part ways.

Find out what people are already asking.

One session, no charge, and you see how many questions went unanswered last month. The list stays with you.

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