Case study
AI enablement for a marketing team serving dozens of markets
We ran a three-session AI enablement program for the marketing team at a global developmental toy brand. We built it around their own campaign workflows and delivered it with a companion guide the team kept using afterward.
- Format
- Three 2.5-hour virtual sessions over about five weeks
- Split
- About 25 percent instruction, 75 percent hands-on
- Takeaway
- Companion guide with prompts, templates and checklists
- AI tools
- ChatGPT Enterprise, Canva AI, Adobe Firefly, ElevenLabs, HeyGen
The situation
Tiny Love is a global brand in developmental toys and baby products. Its marketing team manages brand and campaign assets for a large number of markets through a distributor-led model. Each market needs its own adapted assets, and the brand has to stay consistent across all of them. The team wanted practical AI skills for their day-to-day marketing work. They also needed to protect the brand integrity the business depends on.
What we did
A discovery session mapped current workflows, the tools landscape, brand guidelines and priority use cases. Everything after that was built on their material.
- Session one, AI for marketing and working with AI tools: capabilities and limits, choosing the right tool for a task, effective prompting, and hands-on market and competitive research.
- Session two, marketing copy and content: advanced prompting for briefs, taglines, product descriptions and campaign narratives, multi-market content strategies, and holding brand voice.
- Session three, visual asset creation: image generation technique, on-brand product and campaign imagery, working within brand guidelines.
Mapping AI into the trade show workflow
The anchor exercise mapped AI into an end-to-end trade show workflow the team runs every year, from show selection and product story through booth planning, buyer and distributor meeting preparation, on-site execution, and post-show follow-up. Each stage was matched to a specific AI application. The companion guide included tool comparisons, prompting guides built on the RIGHT framework, workflow templates and implementation checklists, written against their categories and their compliance constraints.
Related: Inspiration & Activation 路 The RIGHT Prompting Framework 路 The AI Value Framework 路 AI Enablement in ChatGPT, Copilot, Gemini and Claude