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LiveChat on your site, in your design

On-site chat that looks like you — with an assistant, or purely human.

We build the chat window exactly to your brand. You choose the mode: a digital assistant as first response, or a purely human chat run by your team. And you can switch anytime.

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Your own window design With or without assistant On your website
What's different

It's not a support widget. It's not a ticketing queue.
It's a digital assistant for first response in support.

The LiveChat assistant is the first contact that talks to the customer. It resolves the routine, qualifies complexity, hands the operator what really needs human judgment — with the full conversation context.

Bespoke

What you customize on this assistant.

We don't build templates. We build the LiveChat assistant individually — a hybrid mode where the digital assistant handles the front line and a human takes over when needed.

COMMUNICATION

Style and tone

How the assistant and operator communicate — from formal to friendly. All in your brand's tone.

CAPABILITIES

What it can do

Real-time replies, qualification, bookings, smooth operator takeover, agent-assist. You define the scope.

KNOWLEDGE

What it knows

Your services, availability, procedures, FAQs and internal rules. Trained on the reality of your company.

INTEGRATIONS

Connections

CRM, helpdesk, bookings, inventory — it works with live data.

APPEARANCE & POP-UP

In your brand's design

Colors, name, chat window appearance, message style and a strategic pop-up — exactly to your brand.

ESCALATION

Human takeover

When and how the assistant hands a conversation to the operator — smoothly, with the whole context. Rules to fit you.

AND ANYTHING ELSE

Every solution bespoke

Plus anything else — it's up to you what the assistant should know, do and which features it has.

With every assistant you also get a free dashboard — conversation history, statistics, escalation overview and live conversations where your team takes over the chat directly from the overview.

How it looks in operation

A customer in the cart has a question. The assistant answers, the purchase continues.

A real live chat during checkout. No cart abandonment.

🛒
A customer at checkout
3 items in the cart · LiveChat
CustomerCan I pay by invoice with a payment term?
🤖 ENIQOne moment, I will check the payment options.
💳 Checking payment terms…
🤖 ENIQYes, we offer invoices with a 14-day term to registered companies. I can see you in the system as a business account, so that will work.
CustomerGreat, thanks!
🤖 ENIQChoose “Invoice” on the next screen. If anything comes up, I am here.
Answered during checkout The purchase continues
Custom appearance

Looks like part of your website, not a foreign widget.

We build the chat window exactly to your design and the assistant connects into it. We don't plug into foreign tools — the window is ours, the look is yours.

Bespoke

Design it yourself

You decide how the window looks — we build it to blend perfectly with your brand.

Your own logo Your colours Your font Tone of voice
Universal version

Or use our default

A clean, premium version ready to deploy — the same one we have across other solutions. No tweaking, it works right away.

Channel context

Four types of situations in which live chat operates.

Live chat is used where the customer expects an immediate reply. The assistant is the first layer — operators take over only what's really complex.

CONTEXT 01

An incoming query

A customer opens the widget on the website, asks a question. The assistant responds within 2 seconds, leads the dialogue to a resolution.

CONTEXT 02

An escalated conversation

The assistant identifies that the topic requires a human. It hands over to the operator with the full history — no “please repeat”.

CONTEXT 03

Hybrid mode (operator assistance)

The operator replies in person, the assistant suggests wording and materials in the background. The operator is ~40% faster.

CONTEXT 04

A traffic peak

When 50 queries come in 10 minutes (a campaign, an outage, a sale), the assistant absorbs the routine. Operators handle only the critical ones.

Real conversations

Typical customer interactions.

Three examples of how live chat works across industries.

💻 SaaS
CUSTOMER Hey, I am trying to export data from the Invoices module, but I get a “permission denied” error.
ASSISTANT To export invoices you need the “Finance — read all” permission on your account. You currently have “Finance — own only”. Shall I connect you with your account admin, or help you open a request to raise your permissions?

→ Technical query → diagnostics from the connected system → a specific solution or escalation.

🏨 Hotel
CUSTOMER Hello, I have a booking with you for tomorrow, can I add a cot?
ASSISTANT Hello. I can see your booking #4729 for tomorrow. A cot is free of charge with us, shall I add it right away? If you need other baby items (pram, extra cot), reception will prepare them.

→ Pre-arrival request → booking identification → an action in the PMS system.

🏘️ Real estate
CUSTOMER Can I ask about the flat in Vinohrady, the one on the 4th floor — does it have a lift?
ASSISTANT The flat in Vinohrady, 4th floor: yes, the building has a working lift (renovated in 2023). Step-free entrance, fob access, street parking for a fee. Shall I book you a viewing, or send more photos?

→ Property detail → a specific answer from the connected system → a suggested action.

Concurrency — dozens of conversations at once

One assistant. Dozens of parallel conversations.

What would traditionally require 5–10 operators, the assistant handles at once. Operators take over only what's really complex. No queue, no customer waiting.

Tereza H.Invoice enquiry — 0:23
Martin P.Order status — 0:08
Jana K.Complaint → operator Petra
Lukáš V.Opening hours — 0:04
Pavel S.Handed to operator Tomáš
Anna B.Return of goods — 0:15
Jaroslav D.Availability — 0:11
Klára M.Appointment — 0:19
Roman P.Priority customer → senior
Iveta L.Price → qualification — 0:42
Tomáš H.Product lookup — 0:07
Lenka K.Booking → calendar — 0:31
What goes away

What the company stops dealing with.

Live chat has a specific problem — the customer expects an immediate response. If they don't get it, they leave.

A queue in live chat

The customer waits 3 minutes for an operator and leaves in the meantime.

The assistant responds within 2 seconds, the queue doesn't exist.

Operators keep answering the same things

70% of queries are the same 30 questions.

The assistant resolves them autonomously, operators do the more complex things.

Peaks burn out the team

After a campaign / Black Friday / outage, 200 queries come in. Operators overworked.

The assistant absorbs the peak, operators take over the top of the pyramid.

The operator doesn't know the context

The customer has to repeat what they dealt with on the website before.

Full conversation history + CRM handed over in one moment.

Outside business hours = nothing

At 7 p.m. you switch off the chat, at 7:05 the customer goes to a competitor.

The assistant keeps the chat 24/7, resolves the routine, escalates the rest for the morning.

The team doesn't know its performance

The manager has no idea who handled how much, what the quality was.

A live overview with response, quality, resolution, satisfaction.

Training

How the assistant is trained on your company.

Live chat is about speed and accuracy. Training focuses on decisions — what to resolve autonomously, what to hand over.

PILLAR 01

Response patterns

Reply length, when to acknowledge receipt (“One moment, checking”), when to answer directly. We calibrate to your channel's pace.

PILLAR 02

Knowledge base

Products, services, terms, FAQs. The assistant draws solely from approved sources.

PILLAR 03

Escalation thresholds

Confidence score, keywords, priority tags, query types. We define together what to hand over immediately, what to resolve.

PILLAR 04

Tone at peak

When it's a hot day, the assistant stays calm and structured. No generic “we apologize for the wait”.

PILLAR 05

Routing logic

Who gets a sensitive query, who gets a technical query, who gets a priority customer. The assistant hands over to the right person.

Integration

Which systems it connects to.

Live chat needs data in real time. Without it, it's just a faster FAQ.

Live chat platform

Smartsupp, Daktela or a custom solution. The assistant works as a layer over your existing chat.

CRM system

Raynet, Anabix, eWay-CRM or a custom API. Customer history lookup, ticket creation, qualification.

Helpdesk / ticketing

Daktela or your own helpdesk. Escalated conversations continue as tickets.

E-commerce / inventory

Shoptet, Upgates, WooCommerce, ERP. Order statuses, availability, returns.

Booking system

Reservio, Reenio, Bookio, hotel PMS. Hotels, salons, restaurants, clinics. When a system has no API, we solve the connection another way too.

Knowledge base

Your wiki, shared documents or knowledge base. The assistant queries current documentation, not stale FAQs.

Actions

What the assistant actually does.

Actions it can perform on its own, without waiting for an operator.

  1. 01Answers a question from your knowledge base
  2. 02Checks the status of an order, delivery or booking
  3. 03Finds a product, service or document by description
  4. 04Handles a routine change (address, contact details, preferences)
  5. 05Creates a ticket in the helpdesk or a task for the team with full context
  6. 06Hands the conversation to a specific operator by team, region or customer priority
  7. 07Sends documents (invoice, guide, terms, price list)
  8. 08Schedules a meeting in the connected calendar
  9. 09Requests the missing information for the team, so the team doesn't spend time asking
Traffic peaks

What happens when 10× more queries come in.

Black Friday, a campaign, a system outage, a media mention. A traditional team can't handle such a peak. The assistant absorbs it without a queue.

10:00 11 12 13 14 15 16 17 18 19 20 21:00
Peak traffic
95 messages/h
vs. target 15/h
Response time
≤ 3 s
even at peak
Escalation to a human
12 %
the rest autonomously
Operators at peak
2 vs. 8 normally
the assistant does the rest
Escalation

When it hands over to a human.

In live chat, escalation is the most frequent operation. The assistant hands over with the full history, not a reconstruction.

Trigger 01

Customer request

“I want a human” → immediate transfer to the first available operator per routing rules.

Trigger 02

A complex problem

A query requiring judgment beyond the routine (technical diagnosis, an individual solution, negotiation).

Trigger 03

Sensitive topic

Refunds, legal or health questions and other more sensitive situations — a human by default, or a digital assistant by arrangement.

Trigger 04

An angry tone

The assistant recognizes an angry tone and hands over to the operator with a summary — it doesn't wait for it to escalate.

Trigger 05

Repeated escalation

If the customer repeats a question 3×, the assistant hands over automatically — it doesn't keep trying.

Deployment

What deployment looks like.

Seven steps from the first consultation to production — 7–10 days.

Consultation

~ 60 min

Mapping chat volume, peaks, escalation logic, team structure.

Chat audit

2 days

Analysis of the last 500 real conversations — query types, frequency, escalations.

Configuration

2 days

Response patterns, escalation thresholds, routing logic.

Training

3 days

Knowledge base, approved answers, examples of correct escalation.

Integration

1–2 days

Live chat platform, CRM, helpdesk, inventory.

Pilot operation

2 days

Launch on 20% of traffic, quality monitoring, calibration.

Full operation

Day 10

Launch on 100% of traffic, weekly reviews for the first 4 weeks.

Operational impact

Operational impact we measure from the first week.

Especially important for live chat — we measure the effect on the team and on customer service.

LAYER 01 — RESPONSE

What the assistant does

What the assistant does — what's actually measured.

  • Response time (assistant vs. team before)
  • Resolved autonomously vs. escalated
  • Peaks vs. regular traffic
LAYER 02 — TEAM

What moved off people

What moved off people — what's actually measured.

  • Operator hours freed up for complex cases
  • Less overwork at peaks
  • Lower operator turnover (data from SaaS clients)
LAYER 03 — QUALITY

How well it answered

How well it answered — what's actually measured.

  • Satisfaction score after the interaction
  • Re-open rate (reopened cases)
  • Topics with repeated escalation → training suggestion
LAYER 04 — SATISFACTION

What the customer feels

What the customer feels — what's actually measured.

  • NPS after the chat
  • Shorter queue (time to first response)
  • 24/7 availability vs. business hours
Strategic consultation

We'll build your LiveChat to measure — with an assistant, or purely human.

No slides. We'll go through your site, your volume and which mode fits you. Start with one — add the other anytime.

Book an appointment Write a message

30 minutes. Online. No commitment.

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