News + Thought
Introducing Skywire AI
When Skywire was founded in 2004 as a specialist digital agency for luxury and premium brands, technology was baked into our DNA.
From the very beginning, we were led by technologists - people who cared about what was coming next, not just what was working today.
As time has moved on, AI has become increasingly embedded in how we work - both inside our own operations and across client engagements.
Of course, we were using machine learning for demand forecasting, returns prediction, and paid media optimisation long before "AI strategy" became a boardroom agenda item. What changed was the pace of client demand.
As large language models matured and the commercial opportunity became impossible to ignore, more and more of our clients needed a dedicated partner that was more than a regular agency with an AI bolt-on.
Skywire AI is now live.
We're all incredibly excited about this - as we view this as a formalisation of the work we’ve already been doing for over twenty years inside ecommerce businesses. Across that time we’ve worked with over 200 brands and influenced more than £2bn in ecommerce GMV.
Make no mistake: AI has been part of that work for a long time, long before it was called AI in any meaningful sense.
At its core, Skywire AI is built on applied experience, not theory. The capabilities that sit behind it weren’t designed as standalone products or abstract innovations - they were developed in response to real commercial challenges inside ecommerce and retail businesses.
Whether it was pushing media performance beyond the limitations of ad platforms, making pricing and promotional decisions more intelligent, scaling creative production without compromising brand integrity, or improving CRM and lifecycle marketing through deeper personalisation, each solution started as a way to solve a specific problem.
Over time, as those solutions were refined and deployed across multiple brands, they evolved into a broader, more powerful capability - one that consistently delivered not just efficiency gains, but measurable commercial outcomes; more often than not, ones that surpassed even our own forecasting.
This is the difference that often gets lost in the current wave of AI in retail and AI in marketing: access to tools is no longer a prohibitive barrier. The real challenge is knowing where and how to embed AI into the operating model of a business so that it drives performance rather than just activity.
Right now, much of the market that we see is still operating at a surface level. More junk content being generated. More automation tools being tested and never actually implemented. On the surface, it might look like a great deal more activity.
Activity that changes precious little of the underlying operating model of the business.
Skywire AI exists to focus on that layer instead.
Imagine AI implementation - not done indulgently or for its own sake - but applied directly to how ecommerce businesses operate: reducing manual workload, improving efficiency, and removing friction from the parts of the business that don’t scale cleanly.
This philosophy is also reflected in a more performance-led commercial model, where an industry-leading 75% of fees are tied directly to results.
It’s a structure designed to create genuine alignment and accountability, and it’s all based on a simple premise: if AI is truly driving growth, that value should be visible, measurable, and shared. And if it isn’t, you’re not losing out. Simple.