In-depth thinking on AI strategy, governance, marketing intelligence, and what the next wave actually requires of organisations. Written by Ross Barnes.
Every CFO and board member has the same three questions about AI. Get the framing wrong and you'll spend the next year defending ROI. Get it right and you move fast.
Read article →Running AI enablement training across 1,000+ senior leaders clarifies something fast: the hard part isn't capability. It's deciding where AI stops and human judgement begins.
Read article →After 90 days, most AI projects have either proven their value or revealed their flaws. Here's how to separate signal from sunk cost.
Read article →90% of organisations building custom AI are wasting money on commodity problems. The build-vs-buy decision isn't a cost calculation — it's a competitive advantage test that most fail.
Read article →Most AI strategies aren't strategies at all. They're technology adoption plans dressed up with the word 'strategy.' Here's what's actually going wrong — and what to do about it.
Read article →Most AI consulting is theoretical — frameworks, maturity models, and recommendations from people who've never shipped a production system. Galahad's model is different because we build what we advise on.
Read article →Most governance frameworks were written for single-model deployments and human-in-the-loop workflows. Agentic AI breaks every assumption they're built on.
Read article →AI security isn't just about the model. It's about the humans using it - and the organisational vulnerability chain that starts with one person's prompt and ends with corporate compromise.
Read article →Brexit didn't exempt you from AI regulation. It just gave you an excuse to pretend it doesn't apply. The EU AI Act has extraterritorial reach, and the UK's own patchwork is worse, not better.
Read article →Read the terms of service. Your AI vendor has already ensured that when the model gets it wrong, you're the one paying. Most organisations haven't noticed.
Read article →AI doesn't just give marketers better tools. It reshapes the marketing function itself - org structure, skills, measurement, and the CMO's role in the business.
Read article →AI didn't fix content marketing. It gave mediocre strategies a way to produce mediocrity at scale. The organisations winning are producing less, not more.
Read article →Everyone talks about first-party data. Almost nobody has a real strategy. In an AI-mediated world, the gap between data theatre and actual competitive intelligence is existential.
Read article →Programmatic's transparency problem isn't a bug — it's structural. AI-driven media buying changes the equation, but only if you're willing to see what the current system is designed to hide.
Read article →The holding company model was built for a world of manual media buying, creative production at scale, and information asymmetry. AI eliminates all three advantages. Here's what replaces it.
Read article →AI intermediation means your audience is getting answers before they see your ads. Media planning built for a direct publisher-to-audience model is burning money in a world where the attention layer has shifted.
Read article →Why generative engine optimisation requires a fundamentally different architecture. SEO optimises for rankings. GEO optimises for inclusion. Here's what that actually means.
Read article →From yellow pages to Google to social feeds to app stores to GenAI. Each wave rewrote how people find things. This one rewrites whether they find you at all.
Read article →In generative search, your brand isn't ranked. It's recognised - or it isn't. Entity authority is what determines whether AI models treat you as a credible source.
Read article →If something here resonated, tell us what you're working on. We'll tell you whether we're the right people to help.