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There is no shortage of AI tools in media right now. Campaign optimization platforms, audience intelligence tools, predictive analytics dashboards, you name it, they’ve got it. And yet, for most agencies and brands, the promise of AI-driven media planning remains frustratingly out of reach.
The reason isn't the technology; it’s fragmentation.
Data lives in one place. Audience insights live in another. Planning workflows, market intelligence, and client knowledge exist in yet more disconnected systems. Individual tools may be sophisticated, but without a connective layer, they produce disconnected outputs. Decisions get made in silos, complexity compounds, and the strategic value that AI should be unlocking stays locked.
This is the problem undermining most enterprise AI initiatives in media, a fundamental architectural challenge that point solutions were never designed to solve.
The appeal of standalone AI tools is understandable. They're fast to deploy, easy to evaluate, and produce visible results quickly, but they optimize for the wrong thing. A tool that makes one part of the planning process smarter in isolation doesn't make the overall system smarter. It just adds another layer of complexity to an already complex environment.
For global agencies operating across dozens of markets, with data ownership distributed across teams, geographies, and client organizations, this problem is acute. The data exists, the expertise exists. What's missing is a way to activate both as a unified system of intelligence.
Mediaplus Group, one of Europe's leading independent media agencies, set out to solve this problem from the ground up. The result is Plus.AI, a global AI steering system that serves as the overarching intelligence layer across the agency's entire operation, connecting first-party data, market and audience insights, AI applications, and operational planning into a single, coherent environment.
Rather than layering AI tools on top of existing workflows, Mediaplus built Plus.AI to sit beneath them, as infrastructure, not an add-on. Configured individually for each brand, it gives clients and agency teams a tailored AI co-pilot that understands the specific context of their business.
The platform runs on Mediaplus' Global Data Mesh architecture, which preserves the ownership and responsibility structures of data across markets and teams while making those sources connectable and actionable. It's a meaningful distinction. In a fragmented data environment, governance matters as much as intelligence.
Building something like Plus.AI requires getting the infrastructure right before anything else. That means AI that runs on-premises within the agency's cloud environment, sits directly on top of their data, and can operate at enterprise scale across dozens of markets, with the security and governance controls that global operations require.
That's where Akkio comes in. Akkio provides the AI infrastructure that powers Plus.AI, enabling Mediaplus to productionize agentic workflows at enterprise scale without sacrificing the control and transparency that clients and regulators expect.
As Jon Reilly, CEO of Akkio, puts it: "Mediaplus operates across dozens of markets with data ownership distributed across teams and geographies, that's exactly the environment Akkio is built for. Plus.AI shows what's possible when the infrastructure can handle that complexity."
Plus.AI is a working proof of concept for something the media industry has been trying to figure out for years: what enterprise AI actually looks like when it's built the right way.
The fragmentation problem in media AI is real, and it isn't going away on its own. Solving it requires more than better tools; it requires a different architectural philosophy, one that starts with infrastructure and builds up from there.
Read the full partnership press release here.
Transform your campaign workflows with powerful AI that delivers measurable results.