December 5, 2025
12:00 
Monika Wiederhold
Chief Operating Officer Training
| Amadeus Fire AG
Deep Dive
seat11a · investor briefing
Amadeus Fire AG Deep Dive | How Companies Build AI Skills at Scale
12:00
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Investor Snapshot
- COMPANY
- Amadeus Fire AG
- FORMAT
- Deep Dive
- DURATION
- 12:00
- PUBLISHED
- December 2025
- LANGUAGE
- English
In 60 Seconds
COO Monika Wiederhold explains how companies build AI capabilities at scale through horizontal, vertical and continuous learning, digital platforms and AI-powered knowledge systems.
Amadeus Fire AG Deep Dive: Q&A
Building AI-Literate Organisations: A Strategic Framework
In this deep dive, Amadeus Fire Group’s Chief Operating Officer, Monika Wiederhold, outlines a comprehensive framework for building AI-literate organisations, addressing one of the most pressing structural challenges in today’s corporate landscape. However, organizations may face barriers such as resource constraints, resistance to change, or skill gaps that could hinder implementation. Recognizing these challenges upfront enables leaders to develop targeted strategies for overcoming them.
Wiederhold emphasizes that AI is no longer a specialised skill for data scientists but a shared responsibility across all levels, from supervisory boards to trainees. Recognizing this can foster a sense of collective purpose and motivate every employee to engage in AI learning quickly and continuously.
The Three-Layer Learning Model
Wiederhold introduces a structured, three-layer learning model that companies must adopt to remain competitive:
1. Horizontal Learning (AI fundamentals for everyone)
The foundational layer focuses on universal AI knowledge, including responsible AI use, prompting, AI basics, legal obligations, and workplace tools such as Microsoft Copilot. These skills must be mandatory and company-wide to create a shared understanding of AI’s applications and risks. Horizontal learning provides the organisational baseline that enables fast adoption and prevents knowledge silos.
2. Vertical Learning (AI skills tailored to each function)
Different functions require specialised AI training to enhance productivity and decision-making in their respective domains.
Examples include:
– Accounting: AI-supported financial workflows, automated reconciliation, and specialised certifications created within the Amadeus Fire Group.
– Marketing: Creative AI tools, generative content systems, text-to-image/video technologies, and performance optimisation.
– HR: Recruiting agents, interview support tools, talent analytics, and skills-matching agents.
This vertical layer ensures that AI is embedded in day-to-day business processes.
3. Continuous Micro-Learning (staying up-to-date with rapid AI evolution)
Given the pace of AI innovation, traditional annual or quarterly learning formats are insufficient. Wiederhold emphasises the need for high-frequency learning routines—daily or weekly micro-learning modules that update employees on new tools, techniques, regulations, and best practices. Monthly learning cycles are already too slow for AI’s development curve.
Operationalising the AI Learning Architecture
Once these three content layers are defined, organisations must address the critical question of how to operationalise them. Wiederhold highlights several structural enablers that determine whether AI learning can scale:
A Dedicated Digital Learning Platform
Companies need an integrated platform capable of:
– distributing learning content at scale,
– personalising training paths,
– adapting to different skill levels,
– surfacing relevant micro-learning content,
– enabling horizontal, vertical, and continuous learning simultaneously.
This platform becomes the organisational backbone for developing AI capabilities.
The Emergence of Agentic AI in Corporate Learning
A transformational opportunity arises from using AI agents to extract internal knowledge from experts and convert it into:
– learning modules
– micro-lessons
– interactive tutorials
– role-play simulations
– best-practice workflows
– onboarding journeys
Every company possesses invaluable internal knowledge—about sales, operations, customer interactions, product logic, compliance, or organisational dynamics. Historically, this knowledge was difficult to capture and even harder to share.
Agentic AI now makes it possible to:
– interview experts,
– synthesise workflows,
– transform tacit expertise into learning content,
– distribute it instantly across the organisation.
This turns internal expertise into a scalable competitive advantage, accelerating organisational performance.
AI Learning Requires Cultural Transformation
Wiederhold stresses that AI adoption must be modelled from the top. Leaders must:
– demonstrate curiosity,
– experiment with AI tools,
– use AI openly and visibly,
– encourage teams to experiment,
– create a culture where learning is continuous and normalised.
Without strong cultural reinforcement, even the best technology and platforms will underperform.
Amadeus Fire Group’s Evolving Ecosystem for AI Learning
The group’s acquisitions of Masterplan and IDubytes significantly strengthen its capabilities. These companies complement Amadeus Fire’s established staffing and training businesses by bringing:
– AI-first learning platforms
– high-quality digital content
– white-label learning systems for corporates
– micro-learning formats
– AI-powered content creation
Together, they enable clients to organise AI learning across all levels of the organisation—from foundational training to advanced, role-specific competence building.
The Strategic Imperative for AI-Competent Organisations
Wiederhold concludes that the world has entered a new era in which every company must become an AI-competent organisation. Those that can systematically learn, adopt, and scale AI knowledge will outperform competitors, accelerate productivity gains, and secure long-term resilience. The combination of a structured learning architecture, digital platforms, AI agents, and a strong learning culture provides the foundation for successfully navigating this transformation.
Questions
- Systematic AI training within the company
- Systematic content is needed for Corporate AI Learning
- Companies should enable systematic AI learning for all employee groups
- Agentic AI Skills will play a major role in Corporate AI Learning
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