RTL Nederland

Uncovering AI opportunities: from leadership alignment to validated use cases

Summary

Together with RTL Nederland's leadership team, we explored where AI could create the most value across the organization, uncovering 50+ opportunities, validating the most promising one as a working proof of concept, and delivering an AI Playbook to help teams get started.

RTL Nederland was already making strong progress with AI through their Data & Technology teams. Together with DEUS, they set out to extend that momentum across the wider organization: aligning leadership around shared ambitions, collaboratively identifying the highest-value opportunities across departments, and turning the most promising ideas into working solutions.

Services

AI-Native Organization

Industry

Media & Advertising

The Opportunity

Strong AI momentum in Data & Technology, with the potential to unlock value across every department.

RTL's Data & Technology teams were already delivering real AI value. The question was how to bring that energy to the rest of the organization. Together, we kicked off with a leadership workshop for 20 board members, with two goals: celebrate and amplify the work already happening in Data & Technology, and collaboratively explore where generative AI could create new value across RTL's departments.

Opportunity 01

Extending AI momentum across departments

  • Strong AI foundation in Data & Technology, ready to scale wider
  • Leadership alignment as a springboard for organization-wide exploration
  • Untapped potential across 7 departments to uncover together
  • A collaborative approach to identify which opportunities are desirable, feasible, and viable

Opportunity 02

From identified opportunities to validated impact

  • 50+ use cases surfaced collaboratively, ready for evaluation and prioritization
  • The chance to rapidly prototype the most promising opportunities
  • A lighthouse proof of concept to demonstrate tangible value
  • An AI Playbook to help teams across the organization get started

The Approach

The collaboration followed three phases, from research and stakeholder engagement through rapid prototyping and evaluation to a validated proof of concept and practical enablement.

01

Research and stakeholder engagement

Contextual inquiry, questionnaires, and stakeholder engagement across RTL’s departments, combined with early prototyping to understand the landscape of AI opportunities.

02

AI heatmapping and rapid prototyping

An AI heatmap to visualize opportunity density per department, rapid prototyping of the most promising use cases, and DFV evaluation (Desirability, Feasibility, Viability) to prioritize what to build.

03

PoC development and AI Playbook delivery

Development of a lighthouse proof of concept, user testing to validate impact, and delivery of an AI Playbook card deck to help teams across the organization get started with AI.

Content Ideation

4 use cases

Content Selection

8 use cases

Scheduling

7 use cases

Acquisition

3 use cases

Production

10 use cases

Operations

8 use cases

Performance

6 use cases

Impact

50+ AI opportunities identified collaboratively, a validated proof of concept delivering 20% efficiency gains, and a practical AI Playbook to help teams get started.

Board-Level Alignment

A shared understanding of RTL’s AI direction across 20 board members, with 50+ AI opportunities captured, classified, and prioritized by viability.

Validated Proof of Concept

+20% efficiency from the lighthouse case, validated through user testing. PoC built in one month with AI-powered transcription, text enhancement, summarization, and video analysis.

Practical Enablement

An AI Playbook card deck delivered to help teams across the organization explore and experiment with AI in their day-to-day work.

“Together with DEUS, RTL managed to accelerate its AI adoption. Building on the energy of the AI leadership workshop, we were able to continue working together on concrete use cases. DEUS rapidly generated 40+ use cases and delivered a viability and feasibility evaluation. Using rapid prototyping, they managed to deepen a selected lighthouse case into a tool that we are very eager to put into production.”

Daan Odijk, Head of Data & AI, RTL

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AI can be a perfect brainstorm partner, also for uncovering ways AI can make a difference in your role.

How-to card backs - step-by-step guidance per use case

AI Playbook #1Content team

Not sure how to apply AI in your day-to-day?

  1. 1.

    Ask the AI to act in your role and explore how it could be integrated into your tasks.

  2. 2.

    Explore by asking questions such as 'How can I use AI to generate content ideas?'

  3. 3.

    Start small and experiment using AI to improve tasks like drafting summaries.

ChatGPT RTL
AI Playbook #2Content team

Not getting the results you want with your prompts?

  1. 1.

    Tell the AI what you want to achieve - be specific about your goals and constraints.

  2. 2.

    Review and refine the prompt, checking it aligns with your tone and objective.

  3. 3.

    Test the prompt with your content - iterate to keep refining your outcomes.

ChatGPT RTL
AI Playbook #3Content team

Battling blank-page syndrome? In need of a fresh perspective?

  1. 1.

    Tell the AI the challenge at hand and ask for multiple ideas using creative methods.

  2. 2.

    Ask for multiple ideas with different framings - opposites thinking, SCAMPER, etc.

  3. 3.

    Let the AI spark your creativity and fuel it with your own ideas and feedback.

ChatGPT RTL
AI Playbook #8Content team

Drowning in a lengthy email chain and looking for the key takeaways?

  1. 1.

    Copy the email content and share it with the AI.

  2. 2.

    Ask the AI to summarize and extract key points - deadlines, tasks, key decisions.

  3. 3.

    Use the summary however you like - save time and customize to your needs.

ChatGPT RTL

Methods

A collaborative approach from leadership alignment through use case discovery and rapid prototyping to a validated proof of concept and AI Playbook.

Leadership workshops

Contextual inquiry

Stakeholder engagement

Questionnaires

AI heatmapping

DFV evaluation

Use case mapping

Rapid prototyping

PoC development

User testing

AI Playbook design

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