AI-Agent
Platform

AI assistants for business processes. If a person can do it on a computer — by voice, text, with a document, or in your enterprise systems — a Lia agent can do it.

1

Built for your process

An assistant is built for your specific scenario — your rules, documents, systems. Not a generic chatbot.

2

No code

Scenarios are composed visually as a flowchart. Edits land in hours, not weeks of dev work.

3

Measurable and fast

First assistant — in 1 day. Full pilot — 4–8 weeks with hard-number outcomes.

Routine leaves the team's calendar, growth shows up in the metrics

Measurable impact from the first pilot process. After that, the platform scales inside the company without additional dev investment.

50–70 %

Of routine queries

are closed by the assistant without a human — accountant, lawyer, or support agent.

×5 –×10

Document throughput

for incoming documents: contracts, acts, invoices, primary records, receipts.

4–8 wk

From start to outcome

first pilot process with measurable metrics — no drawn-out implementation.

24 /7

Always on

no breaks, weekends, or PTO — in Telegram, on the phone, in the web chat.

Minutes

Instead of days

first-pass contract review — the lawyer reviews already-flagged issues.

100 %

Of actions audited

every conversation, decision, and unit of cost — in a single audit log.

Fast

First chat assistant — 1 day. Voice — 2–3 weeks. Full process — 4–8 weeks.

Transparent

Cost and action accounting by project, model, and channel. Reporting and BI — out of the box.

Secure

Runs in your environment, regional models for sensitive data, full-period audit log.

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Ожидаемая экономия за год

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Канал связи
Сложность процессов

What it looks like in practice

Three illustrative cases across different functions. All of them are composed from the same platform modules — integrations and the knowledge base are configured once and reused.

Accounting Telegram · Web chat
CASE A1

Closing-document assistant

Answers staff and customer questions about act statuses, invoices, and tax docs: 'where's the act for contract #X?', 'why hasn't payment posted?'.

Read more

Answers staff and customer questions about act statuses, invoices, and tax docs: 'where's the act for contract #X?', 'why hasn't payment posted?'. Pulls data from ERP, CRM, and bank-client; shows status; opens a task for the accountant with full context. Customer replies are gated by human approval.

What's included

text assistant · Telegram and web chat · ERP/CRM/bank-client integration · human approval · per-customer memory.

Effect

50–70% of 'where's my act?' requests close without an accountant; single-pane status for documents.

Legal Telegram
CASE L1

First-pass review of incoming contracts

Sales sends a contract (NDA, framework, supply) as PDF or scan.

Read more

Sales sends a contract (NDA, framework, supply) as PDF or scan. The assistant reads the document; a team of specialists splits it: one checks liability and penalties, another deadlines and jurisdiction, a third IP rights, a fourth personal-data and compliance. Output — a unified list of remarks.

What's included

document recognition · specialist team (coordinator + 4 specialists) · Telegram · knowledge base (reference contracts, prior edits) · approvals · tasks.

Effect

first-pass review — minutes instead of days; the lawyer reviews issues already flagged.

Sales Web · Telegram · Phone
CASE S1

Inbound-lead qualifier with CRM handoff

Greets the lead via web chat, Telegram, or phone — voice or text.

Read more

Greets the lead via web chat, Telegram, or phone — voice or text. Discovers need, budget, timeline, and decision-maker against your criteria, segments, and either books a meeting with a ready CRM card or returns the contact to nurture. For 'hot' leads, instantly creates a task with full conversation context and customer history.

What's included

voice and text assistant · web widget, Telegram, SIP telephony · CRM integration · qualification on your criteria · handoff with context · tasks and reminders.

Effect

the rep walks into a hot conversation, not a cold one; reply speed in seconds; no request goes missing.

Beyond accounting and legal

The platform also covers HR, sales, and customer support — any function with repeatable conversations or document work.

HR

Employee HR questions

Vacation balance, payroll dates, sick leave, tax statements. Pulls data from your HRIS, answers in Telegram or web chat.

Removes 60–80% of typical HR requests
HR

Recruiting and first-line screening

Reads resumes, runs first-pass interviews by text or voice against your criteria, flags mismatches, hands the recruiter a ready dossier.

Recruiters review only relevant candidates
Sales

Inbound-lead qualification

Talks to the customer on the website or Telegram, gets need and budget, segments, and hands to CRM with full context.

Reps walk into hot, not cold, contact
Sales

Rep nudges and proposal prep

Answers reps on product, pricing, availability. Drafts a proposal, captures agreements in CRM, sets reminders.

Proposals in minutes; nothing slips through
Support

First-line · 24/7

Resolves typical requests by voice and text: order status, passwords, returns, instructions. Escalates the complex with full context and customer history.

50–70% of requests close without an agent
Support

Proactive customer outreach

Calls customers on its own: renewal reminders, post-visit feedback, service-change notifications, 'sleeping' customer reactivation.

Coverage that's expensive to staff with humans
And much more

marketing · procurement and tenders · internal communications · employee training · financial planning · document workflow · task management · any function with repeatable conversations or document work

Don't see your process?

Tell us —
we'll pick the right scenario

On a kickoff call we discuss your routine and show which platform modules will close it.

From kickoff call to a working assistant

The pilot is structured to deliver value fast and in numbers. We need one owner on your side — 4–8 hours a week.

1 1 day

Kickoff call

We pick the first process — accounting or legal. Align on goals, scope, and success metrics.

2 1–2 wk

Access setup

We connect to your systems — ERP, CRM, email, document workflow. Collect materials for the assistant: runbooks, policies, templates.

3 1–2 wk

Build the assistant

Our team composes the scenario in the visual builder. No code — edits and additions land in hours.

4 1 wk

Test environment

Pilot with a small group of staff. Watch where the assistant gets it wrong; add human-in-the-loop confirmations on critical actions.

5 by 4–8 wk

Production launch

The assistant goes into the real process. Track metrics: latency, request volume, % auto-resolved, error count.

One owner

4–8 hours per week — approvals, tests, feedback.

Training materials

Runbooks, policies, templates for the pilot process.

System access

ERP, CRM, email — wherever the assistant operates.

Hosting decision

Our managed install or deployment in your environment — discussed.

What the platform is made of

Everything below is managed from a single web console and available via API. Modules are reused across scenarios — integrations are configured once.

I

Brain and logic

How the assistant thinks, what it can do, and how it learns — a unified agent model, the scenario builder, the knowledge base, and memory.

1

Assistants: text and voice

One assistant — in chat and on the phone

  • Multiple assistants in a team — a coordinator delegates to specialists.
  • Voice in two modes: pre-transcribed pipeline or real-time.
Unified assistant model · task hand-off between specialists · works with leading LLM providers
2

What the assistant can do

Not just 'talk' — 'execute'

  • Plug into systems — ERP, CRM, bank-client, calculations, validation.
  • Processes-as-tools — a whole flow runs as a single 'button'.
  • Document search — internal knowledge base, vector search, ranking.
  • Web actions — opens pages, clicks, extracts data.
  • Memory — saves, finds, and removes facts about the customer, project, company.
  • Tasks — sets reminders, hands tasks to other assistants and humans.
Every call is visible in the action log
Agent console — setup and test
Agent console — setup and test
3

Visual scenario builder

Compose the process by mouse like a flowchart

  • Block types: assistants, model call, external-system call, conditions, loops, document search, human approval, image generation, message, formatting.
  • Auto-saved history, publish a 'production' version, roll back in seconds.
Execution graph · state persistence · streaming events
Scenario builder
Scenario builder
4

Knowledge base and memory

The assistant grounds in your documents and remembers the customer

  • Sources: PDF, Word, runbooks, wiki · cloud storage, by URL or file · scheduled auto-sync.
  • 4 levels of memory: current conversation, user, project, organization.
Vector DB · leading embedding models · semantic, episodic, and procedural memory
II

Channels and execution

Where the assistant meets the user, how it launches processes and stops for confirmation, how everything is tracked.

5

Communication channels

Where the assistant meets the user

  • Telegram — bots, voice messages, by allowlist or public.
  • Telephony and contact centers — receive and place calls via any provider.
  • Web widget — voice and text chat on your site or portal.
  • Open API — embed in your product or process.
  • Inbound events — from external systems and result delivery back.
Secured channels · scoped access keys · signed notifications
6

Tasks, reminders, and the scheduler

The assistant sets tasks and runs processes on its own

  • Tasks for people and processes: priority, deadline, owner.
  • Recurring runs on a schedule with timezone awareness.
  • Result delivery: into chat, into an external system, or quietly into the database.
Timezone-aware scheduler · concurrency policies for parallel runs
7

Human in the loop

Stop before the important action

  • Before sending a customer email, creating a document, issuing a refund — the assistant waits for staff approval.
  • Timeout, approver name, comments, full history.
States: pending · approved · rejected · approval via API from external systems
Action log and cost accounting
Action log and cost accounting
8

Transparency, analytics, cost accounting

Full visibility into every action and every unit of cost

  • Full conversation and action log — line by line in the UI.
  • Admin-action log — with filters and detail.
  • Reporting and BI — session metrics, integration with popular BI tools.
  • Cost accounting — by project, model, and channel — transparent.
Hourly stats · model and token spend · read-only access for analytics

Tech under the hood

The stack the platform runs on. Models and services are picked per task in each process.

LLM providers

OpenAI, Anthropic, xAI Grok, Google Gemini, Yandex, Sber GigaChat, Qwen, Gemma 4.0 and others.

Functions · structured output · vision · external tools
Voice

STT — Deepgram, OpenAI, Yandex. TTS — Cartesia, ElevenLabs, OpenAI, Yandex. Real-time — OpenAI Realtime, xAI Grok.

Pipeline or real-time mode — picked per task
Infrastructure

Python/FastAPI microservices, Go for telephony and contact centers. Stores: PostgreSQL, Redis, RabbitMQ, Qdrant, ClickHouse.

Docker · Kubernetes · Yandex.Cloud
Already trusted by

Companies running Lia agents in production

  • Winline
  • МТС
  • Urent
  • Островок
  • Страна Девелопмент
  • Ренессанс Страхование
  • Папа Джонс
  • ЕАптека
  • Localrent
  • Додо Пицца
  • REG.RU
  • Whoosh
  • Utair
  • BetBoom
  • Megamarket
  • Timeweb
  • Самокат
  • Dostavista
  • Olimpbet
  • Grow Food
  • Foodband
  • Много Лосося
  • Учи.ру
  • Nestle
  • ДелоБанк

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%.

"

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 :)

"

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.

"

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

"

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.

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 is the platform different from a regular chatbot?
A chatbot answers from a script; a Lia agent connects to your systems (ERP, CRM, bank-client), runs processes, works with documents, keeps memory by customer, and hands tasks to other agents or humans. Under one scenario, a multi-agent team is composed.
Do you need to code to build an agent?
No. The scenario is composed in a visual builder as a flowchart. JavaScript functions and MCP servers connect to external APIs — devs write them once, then a business analyst handles further edits.
What channels does the agent run on?
Telegram (text and voice), telephony (inbound and outbound calls via SIP/contact centers), web widget (voice and text chat), open API for embedding in your product.
What about personal data and compliance?
For sensitive data we use regional models or deployment in the customer's environment. Field-level anonymization and masking before model calls is supported. Full-period audit log of every action.
How fast can the first agent ship?
First chat assistant — 1 day. Voice — 2–3 weeks. Full pilot with integrations and metrics — 4–8 weeks. We need 4–8 hours per week from one owner on your side.
Which LLM providers are supported?
OpenAI (GPT-4.1/5.x), Anthropic (Claude Opus/Sonnet/Haiku 4.x), xAI Grok, Google Gemini, Yandex GPT, Sber GigaChat. Flexible economics: bulk tasks on cheap models, complex on premium — with automatic routing.

Build an agent
for your process

Submit a request — on the kickoff call we pick the first process, align on goals, and show how the platform composes the assistant from ready-made modules.