Smart Sales Assistant
NLP system for TV channel
Outcome
Response speed = offline consultation
AI customer assistants
An AI assistant answers from your knowledge base, clarifies requests, collects data, performs permitted actions and hands complex conversations to employees without losing context.
Customer conversation
First-line assistant
Timing depends on the configuration and data scope. Which ERP version do you use and what data needs to be exchanged?
CRM record
ERP integration
Next step
Handoff to specialist
The manager receives contact details, qualification and the complete conversation history.
An assistant helps when customers wait for simple answers while the team repeats the same actions.
Customers write after hours and on weekends
Agents answer repetitive questions
Managers spend time collecting basic details
Conversation history does not reach CRM
Complex requests reach specialists too late
Different employees provide inconsistent answers
The assistant does more than answer. It guides the customer and knows when a person should take over.
Website, Telegram, WhatsApp, email or voice.
Uses the available knowledge base and history.
Asks questions and collects required details.
Creates a lead, request, booking or task.
Transfers the conversation with summary and context.
Capabilities depend on the task, available knowledge and permitted integrations.
Accurate answers about products, terms and policies.
Need, product, budget, region and urgency.
Contacts, topic, source, summary and next action.
Meeting, consultation, visit and notification.
Suggested answers and live policy retrieval.
Based on topic, priority, sentiment or customer request.
Channels
Logic, knowledge and rules remain shared while responses adapt to each channel.
Telegram
Website chat
Phone
Quality control
The assistant follows approved knowledge and rules. Sensitive topics and actions can require immediate human handoff.
AI understands the limits of its role
Reason
Individual assessment required
Transferred
Integration project manager
We start with a limited workflow and expand after quality validation on real conversations.
Define the channel, inquiry types, goal and handoff moment.
Review materials, sources, permissions and content owners.
Configure questions, answers, boundaries and unusual situations.
Integrate CRM, scheduling, helpdesk, phone or internal APIs.
Review conversations, adjust rules and gradually expand autonomy.
The assistant reads permitted systems and returns a structured outcome: lead, task, booking, request or support ticket.
Conversation
CRM
Applied workflows
Sales, support and automated handling of inbound requests.
NLP system for TV channel
Outcome
Response speed = offline consultation
Claude API integration
Outcome
x3 tickets, +18% CSAT
Request qualification, task creation and first contact control.
Outcome
New requests reach the responsible manager in CRM immediately, while overdue first contacts are visible to the team lead.
Start with real conversations
Send anonymized conversations and answer materials. We will build a limited workflow, demonstrate quality and identify integration points.
You can attach conversation exports, FAQs, scripts and policies.
A regular bot follows predefined buttons and branches. AI understands free text, uses a knowledge base, clarifies context and can work with internal systems.
Yes. Handoff follows defined conditions or a customer request. The agent receives history, contacts, a short summary and collected details.
Yes. It can connect to phone systems through speech recognition and synthesis. Voice workflows need separate latency, interruption and handoff settings.
We restrict sources, check permissions, require citations, define prohibited topics and hand off when evidence is insufficient or confidence is low.
Yes. Capabilities depend on the system API. The assistant can usually create or update contacts, leads, deals and tasks while saving conversation history.