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Shapes

Customer Support and AI Agents

Chat, email, and voice assistants that answer routine questions from approved information, collect details, and hand over to a person when they should.

How it works · From customer question to confirmed booking

In

  • Website chat
  • WhatsApp
  • Phone call
  1. 1

    Understand

    Question and intent identified

    Intent: booking

  2. 2

    Retrieve

    Answer found in approved content

    Source: hours page

  3. 3

    Reply

    Answer sent, clearly labelled as AI

    Reply with source

  4. 4

    Collect

    Name and contact details captured

    Details complete

  5. 5

    Hand over

    Booking passed to reception

    Person confirms

    Human checkpoint

Out

  • Booking request
  • Support ticket
  • Conversation log
From customer question to confirmed booking. Inputs: Website chat, WhatsApp, Phone call. Steps: Understand, Question and intent identified; Retrieve, Answer found in approved content; Reply, Answer sent, clearly labelled as AI; Collect, Name and contact details captured; Hand over, Booking passed to reception. Outputs: Booking request, Support ticket, Conversation log.

See how this would run on your own process, with your tools.

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The problem

01

What this solves.

Customers ask the same questions, often outside office hours, and each one needs a reply. Staff spend hours on routine answers while urgent or complex requests wait in the same queue.

What changes

  • Faster first responses on routine questions
  • Complete details collected before a person steps in
  • Clear hand-off for anything sensitive or unusual
  • A record of what customers actually ask

Use cases

02

What this looks like in practice.

Typical examples. Every build is scoped to your own process and systems.

01

After-hours enquiries

A website assistant answers questions about services, opening hours, and pricing from approved content, and books a call when the visitor is ready.

02

Inbox triage

Incoming support email is categorised, urgent messages are flagged, and a draft reply is prepared from the knowledge base for a person to approve.

03

Voice receptionist

Calls are answered, the caller's need and details are captured, and a summary is sent to the right person, with a transfer for anything urgent.

Scope

03

What we can build.

Capabilities

  • Website chat assistants
  • WhatsApp and messaging assistants
  • Email triage and drafted replies
  • Voice receptionists for calls and bookings
  • Ticket classification and routing
  • Escalation to named people with full context

How it works

We agree what the assistant may and may not say, build it on your approved information, and test it against real questions before launch. Every assistant has a clear hand-off path and is monitored after go-live.

Tools we commonly work with

  • Website chat
  • WhatsApp Business
  • Gmail
  • Outlook
  • Twilio
  • ElevenLabs
  • Zendesk
  • Intercom

Limits and human review

Assistants answer from approved information only and should say when they do not know. They tell people they are talking to an AI, and they do not give medical, legal, or financial advice or make commitments on your behalf.

Delivery

04

From first call to working system.

  1. 01

    Discover

    Days

  2. 02

    Map

    1–2 weeks

  3. 03

    Design

    Days

  4. 04

    Build and test

    2–6 weeks

  5. 05

    Improve

    Ongoing

You receive

  • Configured assistant on the agreed channels
  • Approved knowledge base and answer rules
  • Escalation and hand-off workflow
  • Test set and evaluation results
  • Conversation review process

Questions

06

Common questions.

Will customers know they are talking to an AI?

Yes. We design assistants to identify themselves clearly and offer a route to a person.

What happens when it gets something wrong?

Conversations are logged and reviewed. Wrong or missing answers are fixed in the source content, and topics that should not be automated are routed to a person.

Can the assistant work on WhatsApp?

Yes, through the WhatsApp Business Platform. Your number needs Meta's approval, and messages you start must use approved templates.

Which languages can it handle?

The major languages the underlying AI models support. We test the assistant in each language you need before launch.

Next service · 06Operations and Administrative Automation

Next step

What would you like to improve?

Tell us what is taking too much time, what is difficult to manage, or what you would like your systems to do differently. You do not need a technical specification to start.