业务问题
Communication history sits in mailboxes and messengers, tasks get lost and deal probability is judged subjectively.
适用对象
- Commercial units
- Service and account teams
- Sales managers
- Operations directors
数字内核
- Single customer profile (Customer 360)
- Cross-channel communication history
- Deal funnel and stages
- Tasks and reminders
- Segmentation and campaigns
- Sales and service reporting
功能模块
- Accounts and contacts
- Deals and proposals
- Requests and tickets
- Tasks and calendar
- Communication channel integration
- Dashboards and reports
架构
- 01
Channels
- Employee workplace
- Mobile access
- Web forms and requests
- Email and telephony
- 02
Business logic
- Sales and service processes
- Assignment rules
- Service SLA
- Customer access rights
- 03
AI layer
- CRM Copilot
- Communication summaries
- Next-best-action
- Churn forecasting
- 04
Data
- Unified customer profile
- Interaction history
- Sales data mart
- Segments
TEQ Intelligence Layer
AI Intelligence Layer
- Customer 360已实现
- Communication summariesAI 模块可用
- Automated task creationAI 模块可用
- Next-best-actionAI-ready
- Churn forecastingAI-ready
- Semantic searchAI 模块可用
- CRM CopilotAI 模块可用
AI 模块已经开发完成,可接入各解决方案,但尚未在客户处投入生产运行,目前可用于试点或实施项目。
可接入的智能体
CRM Copilot
AI 模块可用Builds the customer profile, summarises communications and suggests the next best action.
- Customer 360
- Communication summaries
- Task creation
- Semantic search
Commercial commitments are made by employees. The agent never messages customers without confirmation.
Analytics AI Agent
AI 模块可用Prepares analytical commentary on metrics, detects anomalies and drafts reports.
- Data mart queries
- Anomaly detection
- Scenario modelling
- Report draft
Every conclusion references its data source. Publishing a report requires confirmation.
IT Support Agent
AI-readyHandles routine user requests, drafts solutions from the knowledge base and routes incidents.
- Request classification
- Knowledge base search
- Solution draft
- Service Desk routing
Incident closure is confirmed by a support engineer.
运行场景
A typical scenario: from event to confirmed result.
- 11The customer reaches out through any channel; the request lands in the profile.
- 22The copilot assembles context: history, open tasks, commitments.
- 33The employee receives a summary and a suggested next step.
- 44The employee confirms the action — a task or a reply is created.
- 55Funnel metrics and churn risk are updated in reporting.
集成
- ERP and accounting systems
- Telephony and contact centre
- Email services
- Service Desk
- BI platforms
安全
- Access control over customer data
- Audit logging of actions and exports
- Personal data transfer control
- On-premise or private cloud deployment
人的职责
AI prepares summaries and next-step recommendations. Customer communication and commitments are confirmed by the employee.
在政府、金融及安全相关流程中,最终决定由获授权的员工确认;AI 负责分析数据并给出建议。
