I identified, evaluated, and embedded AI tooling across the design and content production workflow — focusing on areas where AI could have immediate, measurable impact.

Riverside.FM — embedded into the video and podcast production workflow for thought leadership content. AI-powered recording, editing, transcription, and clip generation significantly reduced post-production time and enabled the team to produce studio-quality content without a production crew.

Bynder AI search — implemented AI-powered asset discovery within the DAM platform, making it significantly faster for teams to find and reuse approved brand assets. Reduced time spent searching and improved the reuse rate of existing content.

Adobe Firefly — introduced for image retouching, background generation, and creative exploration. Enabled the design team to move faster on imagery without relying on photography shoots for every piece.

For each tool: evaluated against real workflow needs, piloted with the team, built usage guidelines and governance, trained the team to integrate it into day-to-day practice.

AI is moving faster than any organisation can fully absorb. My approach is to stay ahead of it — actively testing emerging tools and building understanding of where they're heading, so that when the right moment comes to commit, the groundwork is already there.

Claude Design (research preview) — currently testing Anthropic's Claude Design for AI-assisted visual design creation. Evaluating its potential for generating on-brand marketing assets — social tiles, infographics, and presentation content — directly from a brief, with brand parameters built in.

Claude AI + Figma MCP — exploring the integration of Claude with Figma via Model Context Protocol, enabling AI-assisted design generation within the design system itself. Early testing focused on the creation of branded marketing assets — social content, infographics, and presentations — produced faster and with more consistent output than a traditional human-only workflow.

My conviction: an AI-supported production team — working with the right tools, the right brand system, and the right governance — will produce more consistent output and work significantly faster than a traditionally structured team. The infrastructure is being built now. The results will follow.

Delivered:

• Riverside, Bynder AI search, and Adobe Firefly embedded across production workflows
• Usage guidelines and governance built around each tool
• Team enabled and confident working with AI in day-to-day practice
• Ongoing evaluation framework — ensuring the toolset stays current

In progress:

• Claude Design testing — evaluating for branded asset creation at scale
• Claude + Figma MCP integration — AI-assisted design within the design system
• Building the case for an AI-supported production model across the wider team