While technical research is vital to the development of new AI solutions, the institutional foundations to underpin this transformation are equally important.
At Amadeus, we are evolving the way we build, industrialize and scale AI, moving from promising use cases to reusable capabilities that can operate reliably across our portfolio.
Created earlier this year as part of the Amadeus AI Delivery Hub, the Amadeus AI Foundry helps transform common AI challenges into reusable capabilities that can be applied across the Amadeus portfolio, accelerating innovation and delivery.
Amadeus' AI Foundry was created to help scale proven AI approaches across the business and ensure lessons learned can be applied consistently across products, markets and customer solutions.
This is how we turn promising use cases into reusable capabilities that can be embedded across the business, helping teams move faster while maintaining consistency, governance and control.
The Amadeus AI Foundry helps turn proven AI use cases into reusable capabilities that can scale across the business.
Shared foundations help accelerate innovation while supporting consistency, governance and trust.
The Amadeus AI Foundry enables Amadeus to deliver AI-powered solutions more efficiently across the travel ecosystem.
The AI Foundry is one of the ways Amadeus is making AI easier to reuse, faster to deliver and simpler to scale. It helps identify common needs across teams, assemble reusable components and workflows, and ensure that product teams can build on tested foundations rather than starting from scratch. Reusing these shared capabilities also helps create greater consistency in the experiences delivered to customers across the Amadeus portfolio.
Amadeus’ AI Foundry was created to share best practices across the organization, between business units and diverse geographies, and ensure the lessons we are learning from AI are implemented effectively.
A key part of its role is identifying where different teams are tackling similar problems.
Rather than solving the same challenge repeatedly, the AI Foundry can turn those common use cases into transversal building blocks that multiple teams can reuse.
This approach means that teams starting a new AI project can build on tested components, patterns, and lessons rather than having to redo everything.
One example of how this approach translates into business value is Amadeus Max, an AI assistant layer designed to embed AI more effectively into daily operations across parts of the Amadeus portfolio. Rather than every team building its own assistant from scratch, the Foundry approach helps create shared components and patterns that can be reused where they add value.
In travel seller environments, Amadeus Max has already shown practical impact, including:
The AI Foundry also helps teams evaluate and improve AI solutions throughout their lifecycle.
By developing shared approaches to observability and evaluation, it enables teams to better understand how AI performs in real workflows, learn from outcomes and continuously improve the solutions delivered to customers.
The Foundry also benefits from lessons learned across other AI initiatives, including SkyLink. Its AI-native conversational technology, already applied to travel booking and servicing, helps reinforce the Foundry’s focus on building AI that can operate in real workflows, connecting content, availability, pricing and fulfillment reliably rather than simply adding a conversational layer.
The objective is to create the common foundations that allow individual teams to make better decisions and move faster.
Amadeus and the AI Foundry are also exploring new ways to apply AI across business operations, generating insights that can help accelerate adoption and improve future customer-facing solutions. These experiments provide practical insights into how teams interact with AI, how solutions perform in real workflows and where further improvements may be needed. The lessons generated can then be shared more broadly across Amadeus, helping other teams benefit from the Foundry’s experience.
Moving AI into production at scale requires more than technology. It requires trust.
For Amadeus, responsible AI is supported by a corporate structure designed to make trust part of the development process from the outset. Our AI Compliance Program is designed to support alignment with the EU AI Act and other emerging regulations, and Amadeus was an early signatory of the AI Pact. From this work, we have developed a Responsible AI Compliance framework providing a risk-based structure to support the ethical, secure, and compliant use of AI across the organization.
This is where the AI Foundry adds value: it helps teams build on reusable components, workflows and patterns that already reflect Amadeus’ security, compliance and architecture requirements. That reduces duplication and helps teams move faster without treating governance as an afterthought.
This matters because Amadeus handles large volumes of data and increasingly capable AI systems can support actions across complex workflows. As AI moves from generating information to taking actions, questions of accountability, security, privacy and human oversight become even more important.
Trust, therefore, cannot be something we add at the end of development. It has to be designed into the systems, processes and governance that allow AI to operate at scale.
Amadeus is well-placed to lead the AI transformation of travel. As the embedded and neutral execution layer for travel, our position is built on three pillars: our global scale, the power of our integrated and deeply connected business logic, and our status as a trusted system of record in the industry.
These pillars enable us to apply AI‑driven capabilities consistently across airlines, airports, hotels, travel sellers and the wider travel ecosystem.
The AI Foundry is helping turn AI from isolated experimentation into scalable operational capability, enabling Amadeus to bring trusted AI innovation to customers more efficiently and consistently.
By creating reusable foundations, embedding trust and enabling teams to scale proven solutions, it helps Amadeus deliver AI at enterprise scale across the travel ecosystem.
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