+26% improvement in sales team performance and +23% increase in sales conversion. How an AI assistant transformed the effectiveness of the sales department

How did we improve sales performance?

• Step 1. Implemented the AI tool Call Insights
  We chose this solution because:

  • it quickly adapts to a specific business model;
  • it allows the creation of clear, client-friendly reports;
  • the AI assistant integrates easily with other tools, such as Telegram bots and CRM systems.

  The system performs multiple functions simultaneously:

  • transcribes call recordings;
  • qualifies leads;
  • automatically fills CRM fields using data from conversations;
  • evaluates sales managers based on predefined criteria;
  • provides actionable recommendations after in-depth analysis.
• Step 2. Defined the criteria used by the AI assistant to evaluate sales managers
  • quality of greeting;
  • needs discovery;
  • identification of urgency and budget;
  • assignment of lead qualification (A, B, or C);
  • objection handling;
  • progression to the next stage of the sales funnel;
  • closing the conversation and producing a concise summary.
• Step 3. Configured the system to deliver daily and weekly reports directly to a chat used by management
  Daily reports include:

  • total number of processed deals;
  • number of qualified leads;
  • average quality score of sales conversations.
• Step 4. Reworked sales scripts based on AI recommendations
  Sales managers now address real customer concerns, use the client’s own language, and avoid generic phrases that typically undermine trust.
• Step 5. Delivered training for the sales team and the head of sales
  This level of automation enables real-time analysis, saves up to 60% of management time, and highlights conversion bottlenecks immediately — allowing for rapid corrective action.