Our latest Thoughts on AI & Business

Jonathan Milne

Customer Outcomes with AI: Strengthening Client Relationships

Agencies don’t just compete on ideas and capabilities - they compete on relationships. Clients want to feel supported, informed and confident in their agency partner. If service slips, renewals are at risk and revenue disappears. For agencies, the most important measure of success is the client relationship; this article shares how AI strengthens that relationship by making interactions smoother, more personalised and more proactive. By focusing on customer outcomes - enhancing experience, increasing satisfaction, building loyalty and growing lifetime value - agencies can turn AI into a driver of stronger, longer-lasting client partnerships.

Jonathan Milne

Operational Outcomes with AI: Driving Efficiency, Productivity and Agility

For agencies, operations are the beating heart of the business. Every campaign, every report, every client interaction depends on people and processes working smoothly. But the reality is often different: endless manual reporting, duplicated effort, compliance headaches and project delays. These operational drags eat into margins, slow delivery and frustrate staff. This article shares how AI offers agencies a way to fix this. By streamlining workflows, empowering teams, increasing agility and reducing risks, AI creates operational outcomes that free up time, reduce stress and build a stronger foundation for growth.

Jonathan Milne

Strategic Outcomes with AI: Building Agency Advantage

In our first post in this series, we argued that AI projects only succeed when they are anchored to real business outcomes. We then explored financial outcomes, showing how AI can help agencies grow revenue, reduce costs and protect margins. Now we turn to the second dimension of business value: strategic outcomes. For agencies, strategy isn’t just about long-term vision - it’s about standing out in a competitive market, winning market share and delivering value to clients in new ways. This article explores how can AI help agencies strengthen their strategic position, not just streamline operations.

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.