Awery introduces AI-powered data functionality: Ask Awery

Vitaly Smilianets, Founder and Chief Executive Officer, Awery Aviation Software. Image: Awery Aviation Software

With all the AI platforms that are out there, be it ChatGPT, Claude, Gemini, Cursor, or similar brands, one question that has many companies worried, is how safe these are and what they have access to that perhaps they should not. Awery Aviation Software has just launched a functionality that goes some way to safeguarding data, whilst enabling the flexibility of AI tool support. The new functionality is called ‘Ask Awery’, and is currently in beta version. It allows users of Awery’s Enterprise Resource Planning (ERP) platform to securely connect their company’s operational data with the afore-mentioned AI tools, and then use these to research their data and automatically generate reports. Model Context Protocol (MCP) is used to integrate and connect the AI applications with external systems and data sources. Users are then in a position to ask questions about their data and receive answers directly through their chosen AI tool. “Ask Awery connects with Awery ERP, which brings operational, commercial, and financial processes together within a single platform. Access is read-only and governed by each user’s existing Awery permissions, meaning users can only access data they are already authorized to view,” the press release underlines.

Vitaly Smilianets, Founder and Chief Executive Officer, Awery, detailed: “Achieving widespread digital adoption in air cargo depends on making technology straightforward and practical for the people using it every day, and this tool allows our customers that benefit. Instead of manually extracting and processing data, our users can now prompt their chosen AI tool to compile information, such as ‘tonnage by customer for August, broken down by lane’ or ‘charter quote conversion by customer, covering the last 90 days’, using data directly from their Awery account. Reporting tasks that previously required bringing together disparate data and could take hours, can now be completed in seconds, giving our customers more time to analyze the results and use them to make better-informed decisions, save time and resources, and ultimately deliver a better service to their own customers.”

“Looking ahead, we see significant potential to take this further through AI agents that can automate recurring reporting and routine data checks. Customers will be able to set agents to compile reports on a daily, weekly, or monthly basis, removing repetitive work and giving teams more time to focus on the decisions that data supports,” he concluded.

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