The team faced defect escape, limited inspection capacity, and tension between throughput and quality. Manual checks were variable and difficult to scale across shifts. CRM platforms were widely used, but mainly as task and communication tools—not as sources of operational intelligence.

Key challenges included:

• CRM records lacking production context
• Incidents logged without root-cause clarity
• Slow cross-team coordination
• Leadership lacking real-time operational insight
• CRM acting as a passive ticketing system

Datawise embedded an AI assistant inside CRM platforms such as Bitrix24, transforming them into active operational intelligence hubs. The assistant understands production events, quality trends, and maintenance status, and responds conversationally inside CRM chats, tasks, and records.

The solution enabled:

• Conversational AI inside CRM interfaces
• Intelligent incident summaries and explanations
• Role-based insights for operations, service, and leadership
• Faster escalation and resolution
• Seamless integration with enterprise systems

1. 1Operational events are linked to CRM records
2. 2AI interprets context across systems
3. 3Users ask questions directly inside CRM
4. 4AI provides clear, role-specific answers

• Faster incident understanding and response
• Reduced back-and-forth between teams
• Improved executive visibility
• More effective use of CRM as an operations tool

• CRM evolves into an intelligence layer
• Faster decisions with less friction
• Reduced dependency on manual reporting
• Scalable, enterprise-ready AI assistance