We help organisations turn uncertainty into direction – then direction into action. In practice, that might look like running an AI Acceleration Day where a mixed team goes from a vague challenge to a working prototype in a single day, or leading an insight sprint that uses AI-powered research to uncover human truths behind a campaign. Even when we're delivering creative or strategic work, AI is woven into how we develop it – accelerating research, sharpening ideas, and getting to better outputs faster. We combine strategic thinking, creative exploration, and hands-on delivery so progress is visible, not theoretical.

We work with ambitious teams who need to move faster without losing their footing. That might be a leadership team figuring out how AI affects their operating model, a marketing team under pressure to produce more with the same resources, or an innovation team trying to prove what's possible before committing serious investment. We've worked with global brands like Nike, Tetra Pak, and Universal Pictures – and increasingly with agencies and mid-sized organisations building AI capability so they can stay ahead for their own clients. Our work often spans senior leaders, marketing, digital, product, and operations, because real change rarely sits in one function.

Both – and intentionally so. We might help you define a clear strategic position for a new product, then stay with you to turn that thinking into messaging, creative direction, and live outputs. Because we're a small, tight team with expertise spanning organisational change, innovation, and AI systems, you get fewer handoffs and faster progress.

They're built around doing, not just understanding. An engagement might start with an executive AI-B-C™ briefing to build shared language and confidence, followed by team workshops where people map their workflows and redesign them using AI tools. From there, we often support teams with pilot projects or ongoing advisory sessions so AI becomes part of everyday work – not a side project. Most programmes begin with a discovery phase (typically a few weeks), then move into project-based work over three to six months. Because this work is cultural as much as technical, we tend to build long partnerships – working with clients on and off over years as their needs evolve.

Not at all – most teams aren't when they start. Some clients come to us having never used generative AI beyond curiosity. Others are experimenting but getting inconsistent results. We meet you where you are – automating repetitive work, improving research speed, or supporting creative development – then build capability step by step so people feel confident using AI in their own roles.

We're a close team who've worked together for years, and we genuinely enjoy what we do – which tends to come through. We don't just deliver work; we collaborate properly, bringing your team along so you build capability, not dependency. That means when we're done, you're self-sufficient – though we tend to stay in touch and often pick things up again as new challenges emerge. We stay grounded in reality, speak plainly, and make sure you leave with skills and momentum, not just a document.