Why this matters
E.ON wanted to evaluate whether generative AI could be integrated into its content production process without compromising quality, brand consistency, or stakeholder expectations. The project was designed as a direct comparison against a traditionally produced campaign, using the same creative foundations to assess where AI could realistically create value.
The question we wanted to answer
AI video generation was advancing rapidly, but there was still uncertainty around output quality, production reliability, legal considerations, and brand suitability. The challenge was to determine whether AI could support enterprise-level marketing production and identify where it could complement or replace traditional workflows.
Putting AI to the Test
As part of a broader campaign produced through conventional methods, we developed an AI-generated version using existing campaign assets, storytelling principles, and generative AI tools. The project served as a real-world experiment to compare human-led and AI-assisted production approaches, evaluate quality, and identify opportunities for future adoption.
Led the exploration of generative AI video production for a national campaign, helping validate how AI could be integrated into enterprise marketing workflows while balancing creative quality, operational feasibility, and business value.
What I did
Contributed to the design and execution of the AI production workflow
Evaluated emerging AI video generation tools and capabilities
Consulted stakeholders on opportunities, risks, and limitations
Coordinated project activities across teams
Documented learnings and best practices from the pilot
Helped translate technical possibilities into actionable recommendations
