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AI Chatbots & Support Automation

Most of Your Tickets Have Already Been Answered.

Support agents trained on your own documentation that answer from it, look up live records, take the action and hand over to a person when they should.

  • No obligation, no sales script
  • You own the code
  • Fixed scope after discovery

100+

Projects delivered

98%

Client satisfaction

30+

AI and automation experts

24/7

Support and maintenance

Trusted by forward thinking brands worldwide. Every build ships with documentation, training and full source code ownership.

The Real Cost

What the status quo is costing you

Answered before

The same questions arrive every day

Order status, password resets, opening hours. Your team retypes answers that already exist in a document somewhere.

Nights and weekends

Queries arrive when nobody is in

By Monday the customer has asked a competitor instead.

Burnout

Your best agents do your dullest work

Repetitive tickets push experienced people towards the door, and replacing them costs far more than automating the tickets.

Before and After

AI support vs traditional support

Traditional support bot

AI support agent

Answers only what someone wrote a rule for

Reads your real documentation and answers from it

Cannot see the customer's order or account

Looks up the live record before replying

"Please contact support" when it is unsure

Escalates with the full conversation attached

Replies, then the customer still has to do the thing

Cancels, reschedules or refunds inside the chat

Same script for every channel

One knowledge base behind web, WhatsApp and email

You find out it failed from a complaint

Every unanswered question is logged as a gap to fix

The Alternative

A bot that finishes the job, not one that redirects it

A FAQ bot matches your question to a canned answer and gives up when it cannot. A support agent reads your documentation, looks up the actual order, takes the action, and only involves a person when it should.

The difference is not the wording of the reply. It is whether the customer's problem is finished when the conversation ends.

Under 5s

First response, any hour

60 to 70%

Routine tickets resolved without a person

2 to 4 weeks

From documents to a live bot

What We Build

What the AI can handle

01

Answer from your documents

Policies, guides and product pages become the source of truth, not a hand written FAQ list.

02

Look up live records

Order status, delivery date, invoice, booking or account state, fetched at the moment of asking.

03

Take the action

Cancel, reschedule, resend an invoice, update an address or raise a ticket, inside the conversation.

04

Qualify and route

Ask the questions a person would ask first, then send the enquiry to the right team.

05

Hold context

Remember what was said three messages ago, and across a returning customer's previous chats.

06

Say it does not know

Flag the gap instead of inventing an answer, which is the failure mode that costs trust.

Step by Step

How it learns your business

Retrieval augmented generation, in plain terms. This is what turns your documents into reliable answers.

  1. 1

    Your documents go in

    Help centre, PDFs, policy pages and product data are collected in one place.

  2. 2

    They are split into passages

    Long documents become small, self contained chunks a model can quote precisely.

  3. 3

    Each passage is indexed

    Meaning is stored as vectors, so a question finds the right passage even when the words differ.

  4. 4

    A question retrieves the best passages

    The customer asks, and only the relevant few are pulled from the index.

  5. 5

    The answer is written from those passages

    The model answers using retrieved text, so replies stay grounded in your content.

  6. 6

    The source is kept

    Each answer can cite where it came from, which makes wrong answers fixable at the source.

Under the Hood

Conversation flow

  1. Customer

    Asks on web chat, WhatsApp, Messenger or email, in their own words.

  2. AI

    Works out the intent and whether it can be answered, actioned or must be escalated.

  3. Knowledge

    Your documents are searched and the relevant passages are retrieved.

  4. Action

    Systems are queried or updated: order lookup, booking change, ticket created.

  5. Human

    Anything sensitive or uncertain reaches a person, with the full history attached.

Works on every channel your customers use

Website widget

Embedded on any page, matched to your brand, with no impact on page speed.

WhatsApp

The channel most customers already use, on your business number.

Facebook and Instagram

Replies to DMs and comment enquiries from the same knowledge base.

Email

Inbound support mail read, answered or routed without a person triaging first.

In app and portal

Inside your product or customer portal, with the user already identified.

Voice

The same brain answering the phone, when a call is the faster route.

Human in the Loop

Human handoff, built in from the start

Confidence threshold

Below a set confidence the bot stops and hands over rather than guessing.

Sentiment escalation

Frustration is detected and routed to a person immediately, no retry loop.

Full context on handover

Your agent sees the whole conversation and what was already checked.

Topic rules

Refunds, complaints, legal and anything you name always reach a human.

CRM and helpdesk integrations

It writes to the tools your team already lives in, so nothing needs re keying afterwards.

Helpdesks
Zendesk Freshdesk Intercom HubSpot Service Zoho Desk
CRM
HubSpot Salesforce Pipedrive Zoho
Channels
WhatsApp Business Messenger Instagram web widget email
Commerce
Shopify WooCommerce Magento custom order APIs
Models
Claude GPT open models self hosted

Analytics and monitoring

Deflection rate: tickets resolved without a person
Unanswered questions, grouped so you can fill the gaps
Conversations by channel, hour and topic
Handover reasons, so escalation rules can be tuned
Customer satisfaction on bot resolved chats
Cost per conversation against your baseline

How it works

  1. 1

    Talk

    A 30 minute call. You describe the process, we tell you if it is worth doing.

  2. 2

    Scope

    Fixed price, fixed timeline, written down before anyone commits.

  3. 3

    Build

    Working software every week, not a status report at the end.

  4. 4

    Hand over

    Migration, training, documentation and the keys.

Modules

Use cases by industry

01

E-commerce

  • Where is my order
  • Returns and refunds
  • Size and stock questions
  • Delivery estimates
  • Discount code issues
02

SaaS

  • Onboarding questions
  • Billing and plan changes
  • Feature how to
  • Bug triage
  • Account access
03

Healthcare and clinics

  • Appointment booking
  • Rescheduling
  • Pre visit instructions
  • Insurance queries
  • Prescription status
04

Real estate

  • Listing enquiries
  • Viewing bookings
  • Document requests
  • Area questions
  • Mortgage referrals
05

Education

  • Course and fee questions
  • Admissions steps
  • Timetable queries
  • Certificate requests
  • Portal access
06

Logistics

  • Shipment tracking
  • Delivery rescheduling
  • Damage claims
  • Rate quotes
  • Pickup booking

Questions people ask

Will it invent answers?

It answers from your documents and says it does not know when the answer is not there. Every reply can cite its source, so a wrong answer is traced back to the document that caused it and fixed there.

How is this different from a FAQ bot?

A FAQ bot matches questions to canned answers. This reads your documentation, looks up the live record and can take the action, so the customer leaves with the problem solved rather than described.

What happens with complex or angry customers?

They escalate immediately. Sentiment detection and topic rules mean refunds, complaints and anything sensitive always reach a person, with the full conversation attached.

Which channels does it work on?

Website, WhatsApp, Messenger, Instagram, email and in app. The same knowledge base drives all of them, so answers do not drift between channels.

How long until it is live?

Two to four weeks, depending on how much documentation already exists and how tidy it is. Most of that time is content, not engineering.

Does our customer data go to an AI vendor?

Only if you want it to. We can run open models on your own infrastructure so nothing leaves your network.

Let's Build Together

Ready to Scope
Your Project?

Tell us what the process costs you today. We will come back with what it takes to fix it, at a fixed price.