Microsoft Travel and Hospitality Germany

Fraport

IT Operations Automation · Security and Compliance

The challenge: Planning for the airports of the future despite a shortage of skilled workers It’s the year 2050.

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At the same time, the airport operator—like many other companies—is expecting to lose around 30 percent of its workforce through aging.

Fraport AG is looking to realize a very similar vision by 2050.

Fraport AG operates Frankfurt Airport—Germany’s most important air traffic hub—and also holds stakes in 30 airports in other countries.

Just 15 minutes later, the family is on its way to the departure gate.

Reported impact

Business outcome

“We’re planning to connect FraportGPT to in-house data sources so that our employees can access that knowledge more quickly and easily, and in this way, further increase efficiency,” Wrobel says.

Solution

Fraport AG operates Frankfurt Airport—Germany’s most important air traffic hub—and also holds stakes in 30 airports in other countries. The challenge: Planning for the airports of the future despite a shortage of skilled workers It’s the year 2050. Now, it has taken its first step on this journey by launching FraportGPT, a chatbot for employees based on Azure OpenAI Service. That’s how we can break down prejudices and dispel fears.” Fraport has decided to use Azure OpenAI Service to ensure company-wide availability for FraportGPT—a digital assistant that helps all employees with their day-to-day work. “We’re planning to connect FraportGPT to in-house data sources so that our employees can access that knowledge more quickly and easily, and in this way, further increase efficiency,” Wrobel says.

Solution architecture

4 components · 3 layers

Compute
- Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.
- Azure Provides the secure, scalable cloud foundation for the solution.
Serving
- Microsoft 365 Provides the collaboration and productivity workspace where employees consume the solution.
Orchestration
- Azure AI Studio Provides the managed environment for building, testing, and deploying the AI assistant or agent solution.

Architecture clues

Biometric scanners, modern screening devices, and AI have made security checks almost fully automatic—no lines, no waiting.
Now, it has taken its first step on this journey by launching FraportGPT, a chatbot for employees based on Azure OpenAI Service.
That’s how we can break down prejudices and dispel fears.” Fraport has decided to use Azure OpenAI Service to ensure company-wide availability for FraportGPT—a digital assistant that helps all employees with their day-to-day work.
The solution: Starting the cultural shift to AI solutions with Azure OpenAI Service Fraport already relies on Microsoft solutions, such as Microsoft 365 for its workstations and Azure for its cloud infrastructure, so it made perfect sense to go with Azure for FraportGPT, too.
This way, the solution can be scaled in line with Fraport’s planned growth; besides, the company has already built up knowledge of the infrastructure and how to manage it.
“As a provider of critical infrastructure, we naturally have strict compliance and security requirements.
“The airport of the future should be sustainable and should take all the complications out of traveling—from baggage handling to connecting with the mobility services of the future to digital, automated processes on-site,” explains Verena Dollberg, Program Director Strategy and Digitalization at Fraport.

Evidence from the source

Now, it has taken its first step on this journey by launching FraportGPT, a chatbot for employees based on Azure OpenAI Service.

That’s how we can break down prejudices and dispel fears.” Fraport has decided to use Azure OpenAI Service to ensure company-wide availability for FraportGPT—a digital assistant that helps all employees with their day-to-day work.

The challenge: Planning for the airports of the future despite a shortage of skilled workers It’s the year 2050.

“We’re planning to connect FraportGPT to in-house data sources so that our employees can access that knowledge more quickly and easily, and in this way, further increase efficiency,” Wrobel says.

Transparency Evidence & methodology 90/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth15/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
2 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence87%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
4 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Microsoft
Fraport customer story

First-party
https://www.microsoft.com/en/customers/story/1770212707354189428-fraport-ag-microsoft-365-travel-and-transportation-en-germany

Source type
Vendor-published customer story

Published
Jun 3, 2024
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
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- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date

Date evidence

Published on source page Jun 3, 2024 · Microsoft · First-party
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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