Built for your process
An assistant is built for your specific scenario — your rules, documents, systems. Not a generic chatbot.
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.
An assistant is built for your specific scenario — your rules, documents, systems. Not a generic chatbot.
Scenarios are composed visually as a flowchart. Edits land in hours, not weeks of dev work.
First assistant — in 1 day. Full pilot — 4–8 weeks with hard-number outcomes.
Measurable impact from the first pilot process. After that, the platform scales inside the company without additional dev investment.
Of routine queries
are closed by the assistant without a human — accountant, lawyer, or support agent.
Document throughput
for incoming documents: contracts, acts, invoices, primary records, receipts.
From start to outcome
first pilot process with measurable metrics — no drawn-out implementation.
Always on
no breaks, weekends, or PTO — in Telegram, on the phone, in the web chat.
Instead of days
first-pass contract review — the lawyer reviews already-flagged issues.
Of actions audited
every conversation, decision, and unit of cost — in a single audit log.
First chat assistant — 1 day. Voice — 2–3 weeks. Full process — 4–8 weeks.
Cost and action accounting by project, model, and channel. Reporting and BI — out of the box.
Runs in your environment, regional models for sensitive data, full-period audit log.
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.
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 moreSales sends a contract (NDA, framework, supply) as PDF or scan.
Read moreGreets the lead via web chat, Telegram, or phone — voice or text.
Read moreThe platform also covers HR, sales, and customer support — any function with repeatable conversations or document work.
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 requestsReads resumes, runs first-pass interviews by text or voice against your criteria, flags mismatches, hands the recruiter a ready dossier.
Recruiters review only relevant candidatesTalks 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, contactAnswers reps on product, pricing, availability. Drafts a proposal, captures agreements in CRM, sets reminders.
Proposals in minutes; nothing slips throughResolves 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 agentCalls customers on its own: renewal reminders, post-visit feedback, service-change notifications, 'sleeping' customer reactivation.
Coverage that's expensive to staff with humansmarketing · procurement and tenders · internal communications · employee training · financial planning · document workflow · task management · any function with repeatable conversations or document work
On a kickoff call we discuss your routine and show which platform modules will close it.
The pilot is structured to deliver value fast and in numbers. We need one owner on your side — 4–8 hours a week.
We pick the first process — accounting or legal. Align on goals, scope, and success metrics.
We connect to your systems — ERP, CRM, email, document workflow. Collect materials for the assistant: runbooks, policies, templates.
Our team composes the scenario in the visual builder. No code — edits and additions land in hours.
Pilot with a small group of staff. Watch where the assistant gets it wrong; add human-in-the-loop confirmations on critical actions.
The assistant goes into the real process. Track metrics: latency, request volume, % auto-resolved, error count.
4–8 hours per week — approvals, tests, feedback.
Runbooks, policies, templates for the pilot process.
ERP, CRM, email — wherever the assistant operates.
Our managed install or deployment in your environment — discussed.
Everything below is managed from a single web console and available via API. Modules are reused across scenarios — integrations are configured once.
How the assistant thinks, what it can do, and how it learns — a unified agent model, the scenario builder, the knowledge base, and memory.
One assistant — in chat and on the phone
Not just 'talk' — 'execute'
Compose the process by mouse like a flowchart
The assistant grounds in your documents and remembers the customer
Where the assistant meets the user, how it launches processes and stops for confirmation, how everything is tracked.
Where the assistant meets the user
The assistant sets tasks and runs processes on its own
Stop before the important action
Full visibility into every action and every unit of cost
The stack the platform runs on. Models and services are picked per task in each process.
OpenAI, Anthropic, xAI Grok, Google Gemini, Yandex, Sber GigaChat, Qwen, Gemma 4.0 and others.
Functions · structured output · vision · external toolsSTT — Deepgram, OpenAI, Yandex. TTS — Cartesia, ElevenLabs, OpenAI, Yandex. Real-time — OpenAI Realtime, xAI Grok.
Pipeline or real-time mode — picked per taskPython/FastAPI microservices, Go for telephony and contact centers. Stores: PostgreSQL, Redis, RabbitMQ, Qdrant, ClickHouse.
Docker · Kubernetes · Yandex.Cloud"
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%.
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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 :)
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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.
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Burnout from chat volume is down, and the team is more engaged in actually solving cases.
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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.
Of requests automated
%Saved per request
RUBSaved per request
%Of requests automated
%Of requests automated
%Saved per request
Faster issue resolution
%Faster issue resolution
Of requests closed by the bot
%Saved per request