Our latest Thoughts on AI & Business

Jonathan Milne

Financial Outcomes with AI: Growth, Cost Reduction and Improving Profitability

AI projects only succeed when they are tied to real business outcomes. That value can be realised across four dimensions: financial, strategic, operational and customer. This is the first of four deep dives. We’re starting with financial outcomes, because for most agency leaders, the first question is always: how does this impact the bottom line? Agencies live and die by their numbers. Margins are tight, competition is fierce and every hour of staff time counts. Financial outcomes aren’t just a reporting metric - they are the reality that determines whether agencies can invest, grow and retain clients. In this article we explain how AI can strengthen financial outcomes in three ways: accelerating revenue growth, reducing cost and improving profitability & ROI.

Jonathan Milne

From AI Experiments to Business Impact: Why Outcomes Must Be Your North Star

AI has captured the imagination of the agency world. Everyone is experimenting - from generating campaign ideas to automating reporting. But while the buzz is real, many early efforts struggle to move beyond experimentation into meaningful results. Why? Too often, AI projects are framed around the technology itself rather than the business outcomes they’re meant to deliver. This article explains how leaders can avoid chasing shiny tools and instead solve the problems that really matter. Ultimately, the difference between wasted effort and transformational success comes down to this: outcomes first, technology second.

Peter Dolukhanov

What can Practical AI really do for your Agency?

We’ve seen first-hand how much confusion exists between what AI could do and what it really delivers for agencies. The reality? Practical AI isn’t about lofty promises—it’s about expert insights, co-pilot support, and automation that cuts through busywork. This article explores how agencies are already putting AI to work: speeding up client reporting, generating new content at scale, and automating repetitive workflows—all while freeing teams to focus on higher-value strategy. The result: faster output, better quality, and measurable savings of time and cost. No hype, no theory—just practical ways AI can help your agency do more, faster, and better today.

Peter Dolukhanov

How to Get Started with Practical AI

Most AI pilots end up as expensive experiments with little measurable impact. That’s the harsh reality that isn’t often shared on LinkedIn. Through hands-on experience we've learned that the difference between AI success and failure is starting with practical applications that solve real problems. In this article, we share our guide - based on our real-world learnings - to how agencies can successfully move from AI-curious to AI-capable.

Peter Dolukhanov

An Introduction to Practical AI for Agencies

Through our work with dozens of companies, we've identified an enormous gap between AI hype and practical implementation - everyone's talking about AI, but far fewer are successfully putting it to work. That's why we're sharing a series of articles as practitioners who build and deploy agentic AI solutions every day, covering the fundamental shift agentic AI represents, proven applications saving agencies up to 40% of their time and a strategic framework for measurable business value. No theoretical discussions - just tangible strategies you can implement right now.