Designed and embedded the foundations of an AI-enabled studio operating model to scale creative delivery across a multi-brand portfolio.

Role
Studio Manager | Creative Operations Lead
Led the introduction and structured integration of AI across studio workflows, embedding governance and enabling early adoption.

Challenge
Increasing demand placed pressure on speed, volume and consistency, while unstructured AI adoption introduced risks around quality, brand alignment and governance.

Approach
Integrated AI as an operating layer across the creative lifecycle:
• Discovery & Alignment → AI-supported research and briefing
• Ideas & Concepts → accelerated ideation and development
• Concept Refinement → testing, iteration and adaptation
• Design & Production → scalable asset creation
• Delivery & Launch → workflow automation and production readiness
• Performance & Insights → feedback loops to inform future output

Supported by a studio integration layer spanning briefing, workflow orchestration, resource planning, governance and continuous optimisation.

Delivery
• Prioritised high-impact AI opportunities across workflows
• Introduced AI through phased pilots and practical use cases
• Embedded AI into core studio systems and ways of working
• Established governance to ensure quality and consistency
• Scaled adoption through playbooks, training and team enablement

Impact
Early-stage implementation delivered measurable improvements in speed, output and scalability while maintaining brand integrity:

• Concept exploration time ↓ ~40%
• Storyboarding reduced from days to hours
• Copy exploration increased from 3–4 to 12+ routes

Established a scalable foundation for continued AI adoption, enabling the studio to evolve its delivery model beyond my tenure.