Marketers always assume more tech is the solution. It isn’t.
By Kate Frost, Head of Optimisation at Intermedia Global (IMG) In my experience, too many marketers seem to make the same assumption: adding more…
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What’s missing is the structure around AI. Without aligned data, clear processes, and defined ownership, AI remains fragmented and hard to embed.
This blog focuses on practical steps to move beyond trial and error, helping you turn AI into consistent, operational value.
Find out how to simplify your tech stack, connect your tools, and run smarter platforms that deliver on the expectations of both your customers and internal stakeholders.
Start with comprehensive diagnostic to examine your strategy, processes, data, technology, and people to establish exactly where you stand today. Identify the gaps holding you back and prioritise the AI use cases that align with your commercial goals. The result is clarity and confidence to move forward knowing exactly what needs fixing and why.
Rather than getting stuck in perpetual experimentation and chasing trends, our DOT Growth framework ensures every AI initiative is grounded in the operational reality of how your team works. It provides a structured, actionable pathway to AI readiness, diagnosing where you are today and charting your next steps. The result is a practical, actionable roadmap that ties every step to business outcomes.
Strip away the chaos, remove the manual handoffs, and map out workflows that are consistent, repeatable, and built for automation. The goal is to create processes that support your team, so work moves smoothly instead of stacking up in bottlenecks.
By cleaning, structuring, and unifying your data across systems, you unlock a treasure trove. Instil confidence in your data and establish clear governance so it stays that way. This transforms data from a source of frustration into a reliable, accessible asset that elevates your campaigns.
We separate the platforms that work for you from the ones that are taking up budget and headspace. More importantly, you will identify where integration gaps are blocking your ability to scale and where new features are going unused. From there, build a plan that leaves you with a leaner, more connected tech stack that can handle the interdependencies of AI.
The smartest AI strategy means nothing if your team doesn’t trust it or know how to use it. That’s why it is critical to focus on the human side of readiness, building AI literacy from the ground up with adoption programmes designed to replace scepticism with genuine curiosity. This creates an environment where using AI feels natural, safe, and genuinely helpful.
Building AI readiness isn’t all about jumping on tools or trends. Instead, start with a clear assessment of your current situation and identify gaps across strategy, data, technology, processes, and people. From there, a structured roadmap will ensure AI initiatives are aligned to real business outcomes and not just hype.
The focus then shifts to optimising workflows, improving data quality and governance, and simplifying your martech stack so systems work together rather than in silos.
Finally, you need humans in the loop. Successful AI adoption depends on building trust, capability, and confidence across your teams, turning AI from a source of uncertainty into a natural part of how work gets done.
AI readiness comes from aligning strategy, systems, data, and people, so AI can scale safely, deliver value, and genuinely improve how your organisation operates.
Visit: www.intermedia-global.com
Email: flo@intermedia-global.com