AI reporting on dashboard

AI-Powered Natural Language Dashboard for CAD (Flight Vector)

Integrate a natural language query interface into the CAD dashboard, allowing users to interact with operational data using plain-English prompts instead of navigating multiple reports.

Users could ask questions such as:

• “What percentage of our assets are currently utilized?”

• “How many completed missions do we have today by call type?”

• “What crews are currently on shift at each base?”

• “How does today’s request volume compare to historical averages?”

The system would:

• Translate user prompts using a large language model (LLM) into structured database queries

• Pull real-time and historical CAD data

• Return results as visualizations (charts, KPIs, tables) directly in the dashboard

• Suggest common or relevant prompts to guide users and reduce friction

Key Capabilities

• Real-Time Operational Insight: Immediate visibility into utilization, staffing, and mission activity

• Conversational Analytics: No need for predefined reports—users can explore data dynamically

• Context-Aware Suggestions: Smart prompt recommendations based on current operations (e.g., high call volume triggers staffing queries)

• Executive-Level Summaries: High-level metrics like daily volume trends, response performance, and resource allocation

Value

• Reduces time to insight from minutes to seconds

• Eliminates dependency on report building or data analysts for routine questions

• Improves situational awareness for dispatch, operations, and leadership