Accenture and Google Cloud Support Air France-KLM in Building a Generative AI Factory
Accenture and Google Cloud collaborated with Air France-KLM to build a cloud-based generative AI factory hosted on Google Cloud that supports agentic AI capabilities, letting the airline identify, build and scale high-value gen AI, agentic and machine learning use cases. Air France-KLM has deployed a private gen AI assistant and retrieval-augmented generation use cases blending language generation with internal document search to improve diagnosing and repairing aircraft damage. The gen AI factory has accelerated development cycles by over 35%, with results already seen in ground operations, engineering and maintenance, and customer service.
Overview
Accenture and Google Cloud collaborated with Air France-KLM to build a cloud-based generative AI factory hosted on Google Cloud that supports agentic AI capabilities, letting the airline identify, build and scale high-value gen AI, agentic and machine learning use cases. Air France-KLM has deployed a private gen AI assistant and retrieval-augmented generation use cases blending language generation with internal document search to improve diagnosing and repairing aircraft damage. The gen AI factory has accelerated development cycles by over 35%, with results already seen in ground operations, engineering and maintenance, and customer service.
The challenge
Air France-KLM needed to accelerate the identification, development and scaling of high-value generative AI, agentic and machine learning use cases across the group, and to improve response quality for tasks like diagnosing and repairing aircraft damage.
The solution
Accenture and Google Cloud collaborated with Air France-KLM to build a cloud-based generative AI factory hosted on Google Cloud that supports agentic AI capabilities, letting the airline develop, test and manage a tailored catalog of pre-evaluated gen AI, agentic and machine learning models. Air France-KLM had earlier worked with Accenture to modernize its digital core by migrating existing applications to the cloud. The airline has deployed a private gen AI assistant and retrieval-augmented generation use cases that blend language generation with internal document search, improving response quality for tasks like diagnosing and repairing aircraft damage.
Reported business value
The gen AI factory has accelerated development cycles by over 35%, with tangible results already seen in ground operations, engineering and maintenance, and customer service.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other travel & hospitality entries in the register.
Transforming customer service with agentic AI and Amazon Nova at Ryanair
Ryanair, Europe's largest airline, built a customer service AI assistant on Amazon Bedrock AgentCore powered by Amazon Nova 2 Lite, working with AWS Partner Cation Consulting, to replace an earlier architecture of 12 domain-specific agents with a single consolidated agent. The assistant handles 120,000 daily chat interactions across seven languages with an 80% containment rate and 94% accuracy, cut response latency from 18 seconds to 2.9 seconds, and combined with Amazon Connect voice automation has reduced customer service agents per passenger carried by 70% while saving over 500,000 agent hours.
Skyscanner Scales Smarter Travel Search with the Databricks Data + AI Platform
Skyscanner, which handles 35 million searches and tens of billions of events daily, built bronze, silver and gold data layers on the Databricks Data + AI Platform to create shared Cornerstone Data Products powering multiple use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities to experiment safely and surface more relevant search results for travelers.
HBX Group Automates B2B Travel Support with Google Cloud Contact Center AI and Gemini
HBX Group, a Spain-based B2B travel distribution platform connecting 60,000 travel distributors to providers in 190 countries, worked with Google Cloud partner Ayesa Digital to build an omnichannel support system on Google Cloud Contact Center AI, Dialogflow CX, ADK, and Gemini, integrated with Vonage telephony and Salesforce CRM. The system now classifies all customer service requests by category and sentiment, provides 24x7 local-language coverage via LLM two-way real-time translation, autonomously handles more than 30% of repetitive cases such as fee waivers, and automates 18% of high-volume live phone interactions through an intelligent voice channel, with a target of 80% of interactions passing through AI-automated resolution by late 2026.
JetBlue Accelerates Innovation With AI
JetBlue uses the Databricks Data + AI Platform to unify flight, aircraft, and customer data, powering its operational digital twin, Blue Sky. By streaming half a terabyte of data per flight, JetBlue gains real-time insights that enhance safety, efficiency, and customer experience, with generative AI allowing teams to query data in natural language.
Was this helpful?
Your feedback helps us improve our use case database

