Mediagenix is a global provider of smart content scheduling solutions for media companies. In a sector where timing, efficiency and data-driven insight are critical, the company operates at the heart of complex broadcasting ecosystems. Continuous innovation is not a choice but a necessity.
As a software company operating in an industry driven by digital devices and technology, artificial intelligence (AI) is of strategic importance to Mediagenix.
Beyond its application in products, AI also plays a crucial role in enhancing internal processes. AE supported Mediagenix by exploring how AI can be effectively implemented across the organisation, providing insights and guidance on practical adoption strategies. To unlock the full value of AI at speed, Mediagenix launched a programme to structure, streamline and embed emerging pilots, further upskill its teams, and establish a way of working to continuously identify, prioritise and implement new use cases.
Mediagenix wanted to accelerate AI adoption across the organisation and move beyond isolated initiatives. Interest in AI was growing, and initiatives were emerging bottom-up across teams. While this demonstrated strong engagement, it also created fragmentation. Governance structures and technology enablers were not clearly defined, and strategic intent was not yet consistently translated into a coordinated approach.
The question shifted from technical feasibility to organisational integration. It was not about whether AI could be built, but how it could be embedded sustainably across the business. With AI becoming a competitive differentiator in the media technology landscape, Mediagenix needed to move quickly while putting the right foundations in place.
The programme focused on four clear objectives:
The goal was to turn AI from scattered initiatives into a scalable organisational capability.
AE supported Mediagenix through a structured programme designed to turn strategic ambition into practical execution.
The approach consisted of five short phases. It began with a Discovery to gain an understanding of how the organization was already working with AI, what governance was in place, how change and learning were managed, and what the data and technology landscape looked like.
This was followed by AI strategy definition, where priorities and focus areas were aligned with business objectives.
Next, the most promising opportunities were identified: a series of ideation workshops were held to brainstorm ideas, which were then scored for impact and effort by leadership teams and technical experts.
In the fourth phase, a lean AI Operating Model was developed to define how AI would be organized, governed, and delivered. The final phase focused on drafting a roadmap and plan for transitioning towards business-as-usual and embedding the foundations for sustainable AI delivery.
Mediagenix is now implementing a structured approach around AI, based on the following building blocks:
A clear and actionable AI strategy
A validated AI Use Case Backlog and a first iteration of the use cases roadmap
A plan for implementing the required data foundations and a documented set of technology choices
A set of processes and procedures to identify, qualify, select, test and run AI use cases as they emerge
An organisation-wide training and coaching programme in the form of ‘AI Thursdays’ embodying hands-on, role-based expert coaching
An approach to track progress and evolve the programme over time
AI has evolved from experimentation into a structured organisational capability.
Mediagenix is transitioning its use of AI into a core organisational capability rather than a series of pilots. It is building the foundations to scale AI responsibly, accelerate innovation and create sustainable competitive advantage – with focus and decisiveness.
Want to explore how to design an AI Operating Model and unlock Hyperautomation at scale? Download The AI and Hyperautomation Navigator and discover the frameworks behind Mediagenix’ journey.
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