Communication automation
in messengers

Build AI bots from rules and scenarios. Use AI for complex questions and knowledge-base answers

0

Conversations automated

0 second

Customer response speed

0 %

Of requests Lia closes without an agent

x0,0

Reduction in support payroll

Lia vs. other solutions

Human

  • Adapts on the fly, but limited in concurrent conversations
  • Understands everything, solves anything — but depends on knowledge and mood
  • Most expensive resource; scaling is slow and requires hiring

Lia

  • Instantly handles most requests, 24/7
  • Reads the customer accurately, solves typical and complex cases via AI and your knowledge base
  • Cuts costs significantly, scales effortlessly to any volume

Scripted bot

  • Fast — but only on rigid, pre-defined questions
  • Misses nuance, useless off-script
  • Cheap for trivial tasks; expensive and rigid to change or scale

Platform
components

With an intuitive builder and powerful AI, you'll steer every conversation and resolve customer questions with precision

Build automated conversation flows — easily and flexibly

Compose support flows in a drag-and-drop builder. Add NLU and LLM, configure routing, run JS code for smart customer interaction

Drag-and-drop scenario builder: intent triggers, text snippets, actions, reactions

Smart flows for typical requests — simple and effective

Recognize customer intents and entities with NLU — answer typical requests in a second without expensive LLMs. Models hold 500 RPS and don't need retraining

List of intents with training phrases and variation counts

Detect emotion, context, and intent with high accuracy

Use LLMs for complex second-line questions — lift support quality, reduce errors, and grow customer loyalty

LLM block configuration: model, prompt, temperature, timeout

Transparent conversation tracing

A powerful tracing tool follows the full path of a message through the system. Analyze Lia's reasoning using session data and a detailed log of which scenario blocks ran.

Conversation tracing: chat, scenario, entities, facts, request logs

Fast, accurate answers from your knowledge base

Lia uses RAG to answer complex questions against your knowledge base. Important entities and parameters are extracted from the conversation on the fly, making the exchange maximally efficient

Deploy an AI teammate

Want to automate communication to the maximum?

AI consultant

Professionally consults customers on products and services. Reads requests deeply, picks solutions, and walks people through the funnel 24/7

AI sales rep

Engages potential customers actively. Qualifies leads, runs presentations, and helps close deals — automating the sales process

AI receptionist

Owns operational tasks. Books appointments, confirms reservations, registers and sends reminders — taking load off your staff

76% more effective than a human

Our AI teammates outperform traditional staff on key metrics — delivering unprecedented efficiency and growth for your business

01 — 05

Significant resource savings

An AI teammate costs much less than a human — bringing payroll down materially

02 — 05

Instant data access and seamless integration

Plugs straight into your CRM, knowledge bases, and other systems — gets fresh info and acts without delay

03 — 05

24/7 availability and reliability

An AI teammate works around the clock — no breaks, fatigue, or burnout. Always-on support, never quits

04 — 05

Deep understanding and absolute accuracy

Knows the product, reads context, emotion, and slang; works your catalog fast — and answers accurately every time

05 — 05

Unbounded scale

Handles hundreds of thousands of concurrent requests — guaranteeing no lead or conversation slips through

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Ожидаемая экономия за год

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How it works

01

Implementation and launch

We automate your processes with a transparent, structured approach. At every stage — from planning through configuration — you stay in control. The result is a finished solution, customized to your specific business needs.

Stage goal

Reach an automation level of at least 50%

02

Growth and optimization

Service-hour packages are a tool for continuous project growth. Our experts deeply adapt Lia to your evolving requirements, continuously refining the bot's logic and answer accuracy.

Stage goal

Maximize the share of automated processes and the precision of decisions

03

Reliability and SLA

We take responsibility for system stability. The SLA guarantees predictability and reliability with 99% uptime.

Terms

Flexible support tiers that adapt to your scale and needs

Platform capabilities

01 — 11

Admin console

A centralized space for managing every aspect of the platform and monitoring processes

02 — 11

Conversation routing

Automatically directs incoming requests to the most appropriate line or support team

03 — 11

Tags

Easily classify conversations and messages for downstream analysis and sorting in external systems

04 — 11

Event analytics

Every message, intent, and entity from customer conversations lands in ClickHouse — build reports in any BI, find scenario bottlenecks, decide on data

05 — 11

Conversation tracing

Full transparency into the customer journey and bot decisions inside scenarios and conversation history

06 — 11

Alert scenarios

Automatically triggers scenarios in response to critical events or external-system failures

07 — 11

NPS surveys

Collect customer satisfaction scores during or after the conversation

08 — 11

NLU + RAG + LLM

Combines AI techniques for deep request understanding, info retrieval, and accurate response generation

09 — 11

Reporting and analytics

Data and metrics for evaluating automation efficiency and support quality

10 — 11

Scalability

The platform scales effortlessly to any volume of customer requests, growing with the business

11 — 11

Reliability and uptime

We guarantee 99% platform uptime and continuous operation for round-the-clock customer support

Start in your usual channel

Run Lia where your customers and agents already communicate. We handle seamless integration with leading communication platforms

Trusted by market leaders

"

In our first month with the Lia team we hit 51.2% coverage. A year later it grew to 78.61%, with intent-recognition error below 5%.

Katerina Kozina

Katerina Kozina

Head of Quality Control

"

We set up smart routing by topic and country. We answer instantly — even questions like why we cook without gloves and don't include napkins :)

Aleksandr Shalamov

Aleksandr Shalamov

Support Chat Lead

"

Lia is a full-fledged member of the Localrent support team. Customers notice it, and the team feels meaningful relief on FAQs. Lia keeps us in touch with customers through the night so our specialists can recover.

Daria Churakova

Daria Churakova

Deputy Head of Support

"

Burnout from chat volume is down, and the team is more engaged in actually solving cases.

Ruslan Mamrukov

Ruslan Mamrukov

Head of User Support

"

Lia helps us stay close to our customers and always reach them in time. Response speed is critical in kick-sharing, and Lia clearly makes us faster.

Vlad Pak

Vlad Pak

Head of User Support

80

Of requests automated

%
10

Saved per request

RUB
80

Saved per request

%
80

Of requests automated

%
63

Of requests automated

%
x2.5

Saved per request

47

Faster issue resolution

%
x5

Faster issue resolution

59

Of requests closed by the bot

%
x3

Saved per request

How does integration work?
There are two integration points. First — your omnichannel solution. Second — your internal services, admin panels, CRM, and similar.

Connectivity options:
1) Lia — API — your CRM — Telegram, WhatsApp.
2) Lia — Webim interface — your Webim — Telegram, WhatsApp.

Chat-platform integration is fully on us — no engineering effort required from your side.
Can Lia send outbound messages?
Yes — when paired with a webhook trigger. For example: by timer or on an event from your CRM.
What's the neural network built on?
The core is built on BERT (originally from Google), but that's only one piece — multiple tools work together at Lia's core. Python ties them together, letting us compose many blocks into a single system.
Where exactly are neural networks used?
Neural networks sit at the intelligence core of the Lia platform and process customer text in several places:

Request clustering: groups large volumes of similar requests by topic, helping you analyze them and surface the dominant queries.

Request classification (with LLMs): identifies the topic, intent, or category of every incoming request — for instant, correct routing.

Knowledge-base answer generation (LLM-powered): understands the customer question, finds the most relevant knowledge-base entry, and produces a precise, natural answer.
Which languages does Lia support?
We focus first on Russian. We can also enable: English, Portuguese, Spanish, Chinese, Dutch, French, German, Italian, Japanese, Turkish.
How does Lia handle typos?
Lia recognizes text well even when the request contains errors. We deliberately avoid spell-correction so we don't introduce extra changes into the user's message. Instead, Lia reads the semantic vector of the whole sentence — including typos. In practice this gives the best result.

Worth noting: when we cluster the corpus, frequent typos cluster too — which lets us identify meaning even more accurately despite imperfect spelling.
What's the maximum load?
Lia already handles tens of thousands of messages per minute, and the architecture scales to multiples of that — distributing load across nodes.

Questions left?

Book a free demo and see how Lia helps solve your business challenges.