Scenario Solution

Business Intelligence & Risk Alerts

Let management query business data in natural language — AI automatically aggregates metrics, explains anomalies, generates management summaries, and triggers risk alerts.

The real challenge in business analysis is scattered data, slow interpretation, and delayed response

Management does not need more dashboards — they need the ability to quickly answer 'what happened, why, and what to do next.'

  • Business data is scattered across ERP, CRM, BI, finance, and other systems — compiling one management report takes days.
  • Anomaly detection is delayed — often only discovered during month-end reviews that a business line has deviated from targets.
  • Data interpretation heavily depends on analytics teams — management cannot self-serve deep root cause analysis.
  • Pre-meeting material preparation is time-consuming — CFO and COO teams spend most of their time organizing data rather than analyzing decisions.
  • Cross-departmental business coordination lacks a unified view — sales, delivery, and finance each tell a different story.

System Integration

Connected Systems

ERPBICRMFinance SystemBudget SystemProject System

Business Capabilities

Automation Capabilities

Natural language data queriesBusiness summary generationAnomaly attributionRisk alertingPre-meeting briefsTrend comparison

Execution Flow

How the AI Agent Executes

1

Management asks business-related questions in natural language — system auto-identifies relevant metrics and data sources

2

Aggregate relevant data from ERP, CRM, BI, and other systems in real time — generate structured business summaries

3

Auto-attribute anomalous metrics — compare against historical periods and budget targets, annotating variance causes

4

Trigger business risk alerts based on preset rules — auto-notify relevant business owners and suggest response measures

5

Output management meeting brief materials — preserve analytical conclusions as traceable organizational business memory

Expected Results

Expected Results

Management report preparation time shortened from days to minutes

Business anomaly detection advanced from monthly to daily

Management data self-service rate increased to 80%+

Pre-meeting preparation effort reduced by 70%

Cross-departmental business coordination aligned with a unified data view

Security Controls

Governance Mechanisms

Data permission tiers
Metric definition locking
Audit logs
Sensitive data masking
Report version traceability

FAQ

Frequently Asked Questions

How is business Q&A different from BI dashboards?
BI dashboards are pre-configured fixed-dimension reports. Business Q&A uses natural language for on-demand queries. Management does not need to learn BI tools — just ask 'Why did East China gross margin decline this month?' to get an attributed answer.
How is data accuracy ensured?
The system pulls data from source systems in real time or near-real time. All metric definitions are pre-aligned and locked with finance and business teams. Answers include data source, update timestamp, and definition notes for full traceability.
What size of enterprise is this suitable for?
Any enterprise with ERP and basic business data systems can start. Typically, companies with annual revenue over 100M RMB, multiple business lines, or multiple regions benefit most — because data aggregation and cross-departmental coordination pain is strongest.

Start with this scenario — run through your first workflow

Book a scenario diagnosis to clarify system boundaries, initial Skills, and pilot conditions.