Customer Story
How FLX AIViator is helping airline finance teams resolve operational questions faster through AI-powered support embedded directly into Accelya Revenue Accounting.
Airline : Virgin Australia / Gulf Air / Royal Air Maroc / 21+ airlines piloted
Products
AI / FLX AIViator
Region
Global
The challenge
The solution
The outcomes
The layout was familiar and easy to navigate. What stood out was how responses were backed by documentation, making it a powerful support tool.
Dennis Garret – Revenue Accounting Manager
Virgin Australia
415
customer queries processed
78%
excellent interactions reported
90%
users recommended the experience
Overview
Ask Accelya, built on FLX AIViator, helped airline finance users resolve operational questions faster by embedding AI-powered support directly into Accelya Revenue Accounting workflows.
Across the pilot, the solution processed 415 customer queries, achieved 78% excellent interactions and was recommended by 90% of users.
For years, AI in aviation finance has often been discussed in theoretical terms: productivity gains, automation potential and future efficiency improvements. But airline revenue accounting teams operate in live, complex environments where operational questions require trusted answers immediately.
From coupon validation and interline proration to exception handling and settlement discrepancies, finance users need accurate guidance inside the workflow. When answers depend on internal experts, static documentation or manual troubleshooting, issue resolution can slow down and onboarding becomes more difficult.
Built on FLX AIViator, Ask Accelya demonstrates how AI can move beyond experimentation to deliver measurable operational value directly within airline finance workflows.
Ask Accelya embeds AI-powered operational guidance directly within Accelya Revenue Accounting. Finance users can ask questions in natural language and receive instant, contextual responses supported by trusted documentation, process guidance and operational references.
Rather than introducing another external tool, Ask Accelya brings support into the environment where finance teams already work. This helps users resolve questions faster, access knowledge more easily and reduce dependency on specialist expertise for day-to-day operational issues.
Its modular architecture also enables airlines to introduce AI capabilities incrementally, without disrupting existing finance systems or operational processes.
The pilot showed how embedded AI can reduce friction in everyday revenue accounting operations while improving user experience and confidence.
Across the pilot phase, Ask Accelya processed 415 customer queries, with 78% of interactions rated excellent and 90% of users recommending the experience. The pilot was run across 21+ airline finance environments, with active feedback from 15+ airlines.
Customer feedback from Gulf Air, Royal Air Maroc and Virgin Australia highlighted the value of simple usability, trusted documentation and faster access to operational answers. For finance teams managing complex accounting workflows, that combination turns AI from a standalone concept into a practical support layer.
FLX AIViator is Accelya’s AI intelligence layer, designed to bring trusted intelligence across airline commercial, operational and financial systems.
With Ask Accelya, that intelligence is applied directly to revenue accounting operations, helping airline finance teams work smarter, resolve operational questions faster and improve consistency across complex workflows.
Its modular architecture enables airlines to introduce AI capabilities incrementally, making it easier to adopt practical AI support without disrupting existing operational environments.
Enabled finance teams to resolve operational questions directly within their existing workflows, reducing delays caused by manual troubleshooting.
Provided contextual access to trusted documentation, operational guidance and process references in real time.
Helped finance teams reduce reliance on internal experts while accelerating onboarding and improving knowledge consistency.
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