BRIGHT AI Powered by Amazon Q

Overview

Apply for a 3-month free BRIGHT AI beta with Amazon Q, launched Q4 2025!

This guide introduces Amazon Q, an AI-powered feature in AWS QuickSight, enabling you to query FL3XX aviation data (e.g., booking, flight, maintenance datasets) using natural language. Ask questions like “What’s the Q3 revenue by workflow?” or “Which aircraft has the most flight time?” and get instant visuals and insights—no SQL or coding required. Watch our 7-minute demo video to see it in action.

What is Amazon Q?

Amazon Q is an AI agent integrated into BRIGHT (powered by QuickSight) that lets you:

• Query Data Easily: Use everyday language to analyze FL3XX datasets (e.g., bookings, flights, maintenance).

• Build Visuals: Create charts, tables, and dashboards automatically (e.g., revenue trends, top accounts).

• Gain Insights: Uncover operational efficiencies (e.g., fleet usage, delay patterns) without technical expertise.

• Customize: Adjust visuals (e.g., change chart types, colors) and add to dashboards.

Demo Highlights

Our demo video, presented by our Data Engineer, showcases Amazon Q using the booking dataset. Key examples include:

1. Yearly Revenue Trends:

   • Query: “Yearly cumulative revenue per booking month in 2025 and 2024.”

   • Result: Q generates a visual, refined to a line graph for clear trends, color-coded by year.

   • Use Case: Track revenue growth for financial planning.

2. Top Accounts by Revenue:

   • Query: “Top 20 accounts by revenue for this year.”

   • Fix: Corrected from “buyer name” to “account” for accuracy.

   • Result: Bar chart of top revenue-generating accounts, added to dashboard.

   • Use Case: Identify key customers for sales focus.

3. Revenue by Workflow:

   • Query: “Revenue per workflow per month of the last year.”

   • Result: Bar chart showing gross price by month (Oct 2024–Sep 2025), with workflow legend.

   • Use Case: Optimize workflows (e.g., charter vs. maintenance).

4. Fleet Usage:

   • Query: “Busiest and least busiest tail number in terms of flight time.”

   • Result: Visual showing total flight time by tail number.

   • Use Case: Plan aircraft maintenance or scheduling.

How It Works

1. Setup: We’ve pre-configured Q topics for your main FL3XX datasets (booking and flight). Just link to your QuickSight analysis. For other datasets, you can configure your own topic(s) or just start asking questions. No setup needed.

2. Query: Ask questions in plain language (e.g., “Show Q3 delays by airport”).

3. Verify: Check Q’s interpretation to ensure accuracy; refine prompts if needed.

4. Build: Add visuals to dashboards, customize formats, and share insights.

5. Future Features: Amazon is enhancing Q to auto-create complex calculated fields, simplifying advanced analytics.

Tips for Success

• Be Specific: Use clear prompts (e.g., “accounts” vs. “customers”) and verify Q’s interpretation.

• Test Use Cases: Try queries relevant to your ops.

• Explore: Experiment with different questions to uncover hidden insights.

Get Started in the Beta

• Access: If you are already a BRIGHT customer, we can enable Amazon Q for you. Each customer receives one seat for a 3-month beta period. Access is limited to ensure fast response times.

• Feedback: Share your experience in two 15-min calls:

  • Mid-beta: Discuss initial use cases.

  • End-beta: Provide final feedback to shape BRIGHT AI.

Why Participate?

• Boost Efficiency: Get faster insights for scheduling, maintenance, or revenue (target: 50% faster queries).

• Shape the Future: Your feedback refines BRIGHT AI for the Premium tier.

• No Cost: Free for 3 months, no impact on your BRIGHT subscription.

Full details and supporting documentation on Amazon Q are available on the Amazon Q in QuickSight page.

Questions? Reach out to our support team at support@fl3xx.com.

Let’s make BRIGHT AI a game-changer for your aviation analytics!