From aircraft fault to answer, faster

A leading European airline introduced a GenAI-powered TechOps co-pilot that gives engineers conversational access to verified aircraft technical documentation. By replacing manual searches across multiple sources, the solution reduced aircraft troubleshooting time from hours to minutes, helping engineers resolve faults faster and reduce aircraft ground time.

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Industry

Aviation

Region

Germany and Europe

Solution

Generative AI / Conversational AI for Aviation TechOps

About the client

Europe’s flag carrier, engineered for precision

Germany’s largest airline and one of Europe’s leading aviation groups, the organization serves more than 200 destinations across over 70 countries. Behind every flight is a complex technical operations function responsible for keeping aircraft airworthy and supporting reliable operations. At this scale, engineers work within a demanding maintenance environment where access to accurate technical information is critical to diagnosing faults and returning aircraft to service.

Hours to minutes

Faster aircraft troubleshooting

Aircraft fault troubleshooting that previously required engineers to search multiple data sources can now be handled through a single conversational interface.

Verified

source-grounded answers

Troubleshooting responses are grounded in official aircraft technical manuals and documentation, reducing reliance on informal or unverified sources.

5 Airlines

One troubleshooting experience

Engineers across five airlines can access relevant aircraft technical manuals and documentation through a single, unified interface.

Faster
decisions

Less downtime

Reducing manual document search gives engineers faster access to relevant technical information, supporting quicker fault resolution and less time on the ground.

The business challenge

The complexity of aircraft troubleshooting at scale

When an aircraft fault occurs, engineers need to diagnose it quickly and accurately. But the information needed to reach an answer was spread across maintenance manuals, equipment lists, technical bulletins, articles, historical work orders, and other documentation, turning information retrieval into a critical part of the troubleshooting process.

Engineering time lost to search

Manually navigating multiple documentation sources consumed valuable engineering time that could otherwise be spent diagnosing faults and working toward resolution.

The right answer, from the right source

The opportunity was to use generative AI to give engineers faster access to relevant troubleshooting information, grounded in official aircraft technical documentation.

Where friction was building

Fragmented technical documentation

Engineers had to navigate maintenance manuals, equipment lists, technical bulletins, articles, historical work orders, and other sources to find the information needed for fault diagnosis.

Time-consuming manual search

Finding relevant technical information required engineers to search multiple documentation sources manually, taking time away from fault diagnosis and resolution.

Complex knowledge access

Troubleshooting information was embedded across extensive technical documentation, making relevant guidance difficult to locate quickly.

Unstructured expert escalation

Complex faults requiring specialist input lacked a streamlined workflow for bringing subject matter experts into the resolution process.

Diverse document sources and formats

Technical documentation came from multiple airline-specific sources and included ZIP and PDF files, creating complexity in bringing information into a unified search experience.

Conversational fault diagnosis

A GenAI-powered chat interface allows engineers to describe faults in natural language and receive accurate, document-grounded troubleshooting guidance, without manually navigating documentation libraries.

Multi-question interactive workflow

Engineers can iteratively refine their diagnosis through follow-up questions, progressively narrowing toward resolution in the way a skilled colleague would guide them, faster and more precisely with each exchange.

Multi-airline technical document support

The platform supports five airlines, consolidating access to each airline’s relevant aircraft technical manuals and documentation in a single, unified experience.

SME escalation and collaboration workflow

When a fault requires specialist input, engineers can reassign the issue to subject matter experts through a simplified, structured collaboration workflow, keeping the resolution process moving without losing context.

End-to-end automated document ingestion

An automated pipeline handles the full lifecycle of technical document ingestion, from ZIP and PDF uploads by administrators through parsing, content extraction, embedding, and indexing, with fault-tolerant orchestration ensuring no document is lost or incorrectly processed.

Semantic search across the full document corpus

Vector database-powered semantic search retrieves the most contextually relevant passages from across hundreds or thousands of documents, going beyond keyword matching to understand the meaning behind an engineer’s query.

OpenAI-powered answer generation

Responses are generated by a large language model drawing directly on ingested internal documentation, producing natural, articulate, and contextually accurate answers grounded entirely in verified official sources.

Modular, decoupled architecture

Distinct, independently maintainable stages, upload, parsing, indexing, retrieval, ensure the platform is robust, extensible, and straightforward to evolve as documentation sources and requirements grow.

One platform.
One view of asset risk.
One smarter way to maintain.

What it enabled

Engineering time redirected to resolution

By eliminating manual documentation search, the platform restores engineering focus to where it creates the most value, diagnosing faults and restoring aircraft to service.

A single source of truth for troubleshooting

Engineers across five airlines access a unified interface drawing on verified, official technical documentation, replacing informal, inconsistent knowledge practices with a governed, reliable system.

Structured expert collaboration

The SME escalation workflow brings specialist knowledge into complex fault resolution without the friction of unstructured communication, keeping every case moving forward.

A platform built to grow

The modular, cloud-native architecture supports incremental addition of new airlines, document sources, and capabilities, ensuring the co-pilot evolves alongside the organization’s needs.

Troubleshooting time
$4 million

Aircraft troubleshooting that previously required manual searches across multiple sources can now be handled through a single conversational interface.

Answer reliability
80%

Troubleshooting guidance is grounded in official aircraft technical documentation, reducing reliance on informal or unverified sources.

Decision-making speed
10 million+

Relevant, context-aware technical information is surfaced faster to support engineering decisions across five airlines.

Collaboration efficiency
Structured SME escalation

A structured escalation workflow brings subject matter experts into complex fault-resolution scenarios while preserving context.

Conversational AI

OpenAI API for large language model-powered answer generation, delivering natural, contextually accurate troubleshooting responses grounded in uploaded documentation.

Semantic search

Vector database for fast, scalable, similarity-based document retrieval, ensuring responses are relevant and context-aware across large document corpora.

Document processing

PDF and ZIP processing libraries for extraction, cleaning, and normalization of heterogeneous technical documentation.

Serverless orchestration

Azure Functions for serverless, event-driven parsing and indexing, providing cost-efficient, elastically scalable compute.

Message brokering

Azure Service Bus for reliable, fault-tolerant orchestration between decoupled pipeline stages, ensuring robust task sequencing without message loss.

Data store

Azure Cosmos DB for high-performance embedding storage and retrieval, with optimized partitioning, bulk write operations, and graceful throttling and retry handling.

Admin portal

Secure web-based interface for document upload (ZIP and PDF), with backend APIs (AMOS / METIS) handling ingestion trigger and processing workflows.

User interface

Modern web-based chat interface for engineers to submit natural language queries and receive AI-powered troubleshooting responses.

From fragmented search to unified intelligence

Engineers no longer navigate multiple disconnected documentation sources, a single conversational interface surfaces the right answer from the right document, instantly.

From reactive to assisted diagnosis

The shift from manual lookup to AI-guided troubleshooting gives engineers a knowledgeable partner in the diagnostic process, one that reasons across the full documentation library in real time.

From informal to governed knowledge

Troubleshooting guidance is now anchored in official, verified technical documentation, replacing informal knowledge practices with a reliable, auditable system.

From isolated to collaborative resolution

The structured SME escalation workflow connects frontline engineers with specialist expertise faster, keeping complex fault resolution on track without unstructured back-and-forth.

Built for the future of TechOps

A modular, cloud-native, semantically powered platform provides the architectural foundation to extend coverage, onboard additional airlines, and incorporate new document sources as the organization’s operational footprint evolves.