About
Hi, I’m Ginny.
I help independent, design-led interiors and lifestyle businesses stay easy to find, and easy to choose, as AI reshapes how customers discover brands and how marketing gets done.
My work is brand-first and human-led, with AI brought in thoughtfully as support - never as the headline.
I’ve spent my career immersed in design-led brands where craft, storytelling and standards are everything. That’s why I’m deliberate about AI: it should support the work, not lead it - and your brand should shine more brightly because of it.
That’s the work I’m here to do: helping design-led businesses thrive on their own terms.
My Experience
20+ years in brand strategy, marketing and PR, across in-house and agency leadership roles.
Brands: Habitat, Sanderson, Ligne Roset, Alessi, Cassina, Dulux, Virgin Atlantic and many independent design-led businesses
TREE: e-commerce and digital transformation lead for Hong Kong's leading sustainable interiors brand.
UK + international market experience in UK, Hong Kong, China and Switzerland.
FCIM (Fellow of the Chartered Institute of Marketing)
London Business School specialist training in digital marketing and AI
My brand-first approach to AI
My AI work began in 2023 inside a brand-led transformation where protecting voice and values was non-negotiable - and it shaped my approach from day one.
What I’ve seen since is consistent: the brands who thrive in this era enter it with strong foundations, clear standards and the restraint to bring in AI with intent.
I’ve built on that work through specialist training, ongoing research and daily hands-on use - always grounded in what independent, design-led teams actually need.
Done well, AI should bring meaningful return to you and your team: making the day-to-day lighter, freeing up more space for creativity and connection while keeping what makes you distinctive at the forefront.
Working together
My work follows a clear path - thoughtful, structured and designed for small teams with high standards.
We’ll start with what needs defining now: your positioning, messaging, and the moments in your customer journey that matter most. From there, we translate that direction into practical standards and a brand-safe AI approach your team can actually sustain - without adding complexity for the sake of it.
You can begin with a focused session or move into deeper support, but you’ll always know what happens when - and what you’ll have in your hands at the end.
The 10 Principles of Good AI Adoption
These principles guide every AI training and integration project I do. They’re designed to keep your AI journey practical, brand-safe, and human-led.
If you reference these principles, please credit Ginny Seymour.
-
If it doesn’t protect what makes you you, it’s not the right use of AI. Your voice is non-negotiable.
-
Use AI to lighten the load, but keep the moments of care, judgement and nuance firmly in human hands.
-
Adopt AI from the top-down. Define what AI can and can't do. Appoint and empower an AI Champion. Set standards and expectations.
-
Choose your platform with care, use AI intentionally, and be clear about where it helps - and where it doesn’t belong.
-
Get the work out of your head and onto the page first - then you can see where AI genuinely helps (and where it won’t).
-
AI needs context, standards, and constraints. Quality in = quality out.
-
Prompting matters, but judgement matters more. Hone your eye for detail. Edit. Verify. Refine. Never accept AI output as final.
-
Make AI a shared way of working - with clear guidance, simple training and space for people to learn at their own pace.
-
Keep it simple. Fewer tools, fewer use cases, better standards - and results you can actually sustain.
-
AI should improve decisions, smooth process, or free up time for what matters to you. Set KPIs and hold your AI to account (just like you would your team)
