Awery Aviation Launched Ask Awery AI Tool

The new beta functionality allows users to query operational platform data through major artificial intelligence models.

Updated on Sept. 23, 2026 in Artificial Intelligence

Bold vector editorial illustration showing a simplified aviation hangar interior with geometric trusses, representing the integration of AI in aviation software.
Awery Aviation has launched Ask Awery, a new beta tool allowing users to query internal ERP platform data using AI models like ChatGPT and Claude. AI Illustration. Upload story photo >

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Awery Aviation Software has introduced a beta tool called Ask Awery that lets customers query their internal ERP platform data using AI. The integration enables users to access operational, commercial, and financial information directly through ChatGPT, Claude, Gemini, and Cursor.

Why it matters

The tool aims to make complex aviation operational data more accessible to staff, streamlining reporting and analytical workflows. By leveraging existing systems, it helps users derive insights without needing to manually aggregate information from multiple sources.

The system utilizes the Model Context Protocol to facilitate secure, read-only data connections between the company ERP and external AI applications. Access is strictly governed by existing user permission settings within the software environment.

The players

Awery Aviation Software

This company provides enterprise resource planning software solutions specifically designed for the aviation and cargo industries.

The details

Ask Awery connects the software's backend to AI models, allowing for direct querying of operational and financial datasets. The company plans to expand the capabilities to include AI agents that will eventually automate routine data checks and recurring reporting tasks.

Timeline

  1. The Ask Awery beta functionality was launched on September 23, 2026.

The Tech Race

The integration of the Model Context Protocol signals a shift toward making proprietary enterprise software interoperable with generative AI. This move positions the firm against competitors who are racing to add AI-driven analytical layers to legacy industry-specific systems.

Users can now bypass manual report generation by using natural language queries to pull data directly through familiar AI interfaces. This change allows personnel to interact with complex commercial datasets using established permissions without compromising internal system security.

The takeaway

Businesses looking to improve data transparency should consider how secure, read-only AI integrations can reduce the time spent on manual reporting. Integrating operational software with large language models can significantly accelerate decision-making processes for staff.

Further reading

For broader trends in enterprise integration, visit our Artificial Intelligence section.

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Do you trust using AI tools to securely manage and analyze your professional data?