Leading European Media Company
Realizing an AI transformation roadmap for a leading European media company
Summary
Enabling a leading European media company to achieve strategic and operational gains with AI, from over a hundred raw opportunities to a validated transformation roadmap and three use cases in development.
The company's media sales organization needed clarity on where to invest in AI and how to equip their teams to act on opportunities independently. We identified and validated high-impact AI use cases, aligned them with business priorities, and delivered a practical AI business transformation roadmap.
Services
Industry
The Challenge
A dual mission: find AI's highest-value applications, and build the internal capability to keep going.
The organization wanted to understand where to strategically invest in AI, gaining a clear view of how it could drive value across all business units. The challenge was to identify and validate high-impact use cases through a deep understanding of their processes, with dual focus on strategic impact and operational efficiency.
At the same time, we were tasked with upskilling their internal analysts so they could continue identifying and acting on AI opportunities independently, long after the program ended.
Problem 01
Identify and prototype strategic AI use cases
- ▪Ambition for AI-driven transformation but no structured path
- ▪No shared view on where AI could drive the most value
- ▪Use case discovery needed across all business units
- ▪Unclear which AI opportunities were desirable, feasible, and viable
Problem 02
Upskill internal analysts to act on AI independently
- ▪Foundational AI training needed for key team members
- ▪Learn-by-doing approach required for lasting impact
- ▪Scalable capability building across teams
- ▪Empowering analysts to bridge business needs and AI solutions
The Approach
We ran a multi-month AI strategy and transformation program. Each phase built on the last, moving from broad discovery to targeted validation to rapid prototyping.
01
360-degree operational scan
Cast the net wide across the organization. We reviewed all business units, conducted in-depth interviews, and mapped operational workflows, surfacing over a hundred raw AI opportunities.
02
Targeted discovery and deep dives
Explored key business units and core processes in depth through workshops, interviews, and contextual inquiries to expose friction and opportunity hiding in day-to-day operations.
03
Rapid prototyping and validation
Distilled the opportunities into a prioritized shortlist of AI use cases, each rapidly prototyped as clickable mockups and evaluated by users and domain experts to test assumptions and validate value.
The Solution
Three AI use cases selected for development to drive operational efficiency and strategic growth.
01
Intelligent proposal generation
An AI-powered tool that pulls up-to-date data from internal sources, applies smart packaging recommendations, and enables the sales team to create accurate, data-backed proposals in a fraction of the time.
02
Real-time performance intelligence
A platform providing the team with a clear overview of historic, actual, and predictive data, enabling proactive, data-driven decision-making and strategic portfolio growth.
03
Smart communication automation
A combined approach of intelligent automation and AI-generated responses, streamlining communication workflows so the team can focus on strategic work and build customer trust.
Impact
A validated AI transformation roadmap with three use cases in development, delivering measurable operational and strategic gains.
Operational Efficiency
Significant capacity freed from manual, administrative tasks, enabling teams to focus on strategic, high-value work. Fewer errors reducing unnecessary operational costs and improving process reliability.
Strategic Growth
Measurable market share growth potential through faster, more reliable processes. Revenue uplift potential through data-informed market intelligence and optimized pricing strategies.
Faster Time to Market
Campaign lead times reduced to industry standard, improving customer satisfaction and retention. Stronger relationships with customers and partners through more responsive, data-driven operations.
Enablement
Building the skills for continuous innovation.
Throughout the program, we supported the company's analysts in building internal capabilities in design thinking, AI knowledge, and prototyping, empowering them to shape and validate valuable use cases independently long after the engagement ended.
Training Sessions
Covering the fundamentals of AI, service design, and prototyping.
Discovery Workshops
Understanding business processes and pain points from the organization's perspective.
Deep Dive Research
Learning to fully understand the opportunity by observing processes up close through interviews and contextual inquiries.
Prototyping and Evaluation
Evaluating use cases through iterative prototyping techniques, capturing business cases and requirements.
Methods
A structured approach from broad discovery through validated prototyping to a transformation-ready AI roadmap.
AI thematic analysis
Contextual inquiry
Stakeholder workshops
Business process review
Rapid prototyping
DFV evaluation
User testing
Expert evaluations
AI Playbook design
Journey mapping
Service design
Use case prioritization
Enablement training
Design thinking
Capability building