Integrating advanced AI technologies for improved performance

FAQs

• What is an AI sales assistant and how does it work?

  A neuro-salesperson is an AI model optimized for sales work: product and service consultations, order processing, and independent execution of routine tasks.

  It works using NLP (natural language processing) and machine learning technologies. AI analyzes customer requests, extracts key information from customer messages, provides personalized responses or performs actions (order taking, consultation booking), and transfers complex questions to managers.

  The system analyzes 100% of customer conversations, identifies successful deal patterns, and determines rejection reasons.

• How to implement AI in sales departments?

  Implementation happens in stages:

  • Current process audit (1–3 days)
  • Scenario design (2–5 days)
  • Model creation and training (5–10 days)
  • System integration (2–3 days)
  • Testing and launch (3–5 days)

  Total timeframe: from 2 weeks for basic FAQ chatbots to 4+ weeks for complex neuro-salespeople with deep CRM integration, trained on your data.

• Can AI replace part of the sales department?

  Our goal is not to replace people with AI, but to increase employee efficiency by eliminating routine tasks.

  AI handles:

  • Primary lead processing
  • Lead qualification
  • Standard question responses
  • Customer database management

  Managers focus on complex negotiations and decision-making.

• Will an AI sales assistant increase conversion?

  Yes, companies achieve 25–40% conversion growth in the first six months thanks to:

  • Processing 100% of leads without losses
  • Personalized communication
  • 24/7 availability
  • Professional objection handling
  • Automatic lead qualification

• How does the AI sales assistant integrate?

  Integration happens through APIs and WebHooks for data exchange between systems. AI automatically:

  • Updates deal information
  • Records all interactions
  • Transfers qualified leads to managers
  • Synchronizes data in real-time

• How much does an AI sales assistant cost?

  Pricing is individual and depends on:

  • Business process complexity
  • Number of integrations (CRM, messengers)
  • Personalization and training depth
  • Data processing volume
  • Number of customer touchpoints

  For accurate pricing, request a free consultation.

• How is personal data processing handled?

  AI works with company's own databases, ensuring compliance with data storage and processing legislation.

  We guarantee:

  • Compliance with data protection requirements
  • Secure data transmission channels
  • Local storage on your servers (if needed)
  • Uniform CRM field completion
  • Up-to-date deal information

• What tasks does a virtual manager solve?

  Modern virtual managers solve a wide range of tasks:

  Lead Generation:

  • Contact data collection
  • Primary needs qualification

  Lead Processing:

  • Request classification by type
  • Priority determination
  • Routing to appropriate specialists

  Sales Analytics:

  • Predictive deal probability analysis
  • Customer behavior pattern identification
  • Most effective sales channel determination

• What communication channels can the bot use?

  AI has access to all modern communication methods:

  • Messengers: WhatsApp, Telegram, VKontakte
  • Social Networks: Instagram, Facebook
  • Marketplaces: Yandex.Services, Avito
  • Traditional Channels: Email, website chat
  • Corporate Systems: Slack, Microsoft Teams

  All dialogue results are instantly entered into the CRM system for unified interaction history.

• How long does launch take?

  Implementation timeframes depend on project complexity:

  Basic Chatbot (2 weeks):

  • FAQ responses
  • Lead collection
  • Simple CRM integration

  Advanced AI Sales Assistant (3–4 weeks):

  • Deep training on your data
  • CRM and telephony integration
  • Business process personalization
  • Analytics and reporting

  Comprehensive System (1–2 months):

  • Multiple integrations
  • Complex processing logic
  • Full team training
  • Phased departmental rollout