AIX | AI Expert Network

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AIX is a global expert network and AI transformation execution partner that connects organizations with top AI professionals, consultancies, and solution providers, and supports them through every stage of their AI journey

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Case Study: How Accenture Song Executes Enterprise AI Transformation
May 12, 2026 · original
When Accenture Interactive rebranded to Accenture Song in 2022, the change represented far more than a new name. It signaled the transformation of a traditional digital marketing and experience agency into something fundamentally broader: an AI-enabled business reinvention platform. Today, Song sits at the intersection of strategy consulting, customer experience, creative services, data engineering, cloud technology, and generative AI. Rather than approaching AI as a standalone technology initiative, Song embeds AI into the operating fabric of enterprise growth, customer engagement, and marketing transformation. This case study explores how Accenture Song operationalizes AI transformation across large organizations and why its model has become one of the most influential in the consulting and marketing industry. Reinvention Begins with Customer Value Unlike organizations that start with
Case Study: How Havas Became an AI-Native Organization
May 5, 2026 · original
In 2024–2026, the global marketing industry entered a structural inflection point. Generative AI began compressing production costs, accelerating campaign cycles, and redefining the value of agency work. For a mid-sized holding company like Havas, this posed an existential question: Would AI commoditize creativity — or could it be harnessed to redefine it? Unlike larger competitors, Havas lacked the scale to build proprietary foundation models. Instead, leadership reframed the problem: win not by building AI, but by orchestrating it better than anyone else. This strategic pivot anchored a multi-year transformation backed by hundreds of millions in AI and data investment. From Agency to AI Operating System The transformation began with a clear CEO-led mandate: reposition Havas as an AI-driven organization “fueled by human ingenuity.” Rather than embedding AI into isolated use cases, Havas
Case Study: How Dentsu Became an AI-Native Marketing Organization
Apr 28, 2026 · original
Dentsu’s AI transformation illustrates how a global marketing agency can reinvent itself for an era where data, creativity, and technology converge. By aligning leadership around an AI-first vision, reshaping talent and operating models, and embedding generative AI across its services, Dentsu has shifted from delivering campaigns to building continuous, intelligence-driven growth systems for clients. This case study explores how that transformation unfolds across strategy, capabilities, and execution. Business-led digital roadmap In 2024, Dentsu’s leadership recognized a structural shift: marketing was no longer just about campaigns—it was becoming an AI-mediated, always-on system of customer interaction . The company reframed its vision under “AI for Growth” , positioning AI not as a tool, but as a core driver of business transformation across client services and internal operations . I
Case Study: Interpublic Group Reinvents Marketing Through AI, Data, and Platform Thinking
Apr 20, 2026 · original
Interpublic Group (IPG), one of the world’s largest marketing and communications networks, is undergoing a profound transformation as artificial intelligence reshapes the foundations of the advertising industry. Faced with rising pressure from data-driven platforms, generative AI tools, and evolving client expectations, IPG is moving beyond its legacy agency model toward a more integrated, technology-enabled enterprise. At the core of this shift is a deliberate strategy to combine data, AI, and platform thinking to deliver more personalized, efficient, and measurable marketing outcomes. This case study explores how IPG is executing this transformation across strategy, talent, operations, technology, and data — revealing a pragmatic, large-scale approach to embedding AI at the heart of modern marketing. Reimagining the Agency Interpublic Group (IPG) is undergoing a fundamental reinvention
Case Study: Publicis Groupe’s AI Transformation From Agency to Intelligent System
Apr 14, 2026 · original
Publicis Groupe’s transformation into an AI-powered enterprise illustrates how a legacy marketing organization can reinvent itself for the digital age by embedding artificial intelligence at the core of its strategy, operations, and culture. Moving beyond isolated use cases, the company has integrated AI across its business — from data and technology platforms to talent and workflows — creating a unified system that drives faster decision-making, personalized customer experiences, and scalable growth. Business-Led Digital Roadmap Publicis Groupe’s transformation began with a fundamental strategic shift: redefining itself from a traditional marketing holding company into an AI-powered “intelligent system.” Rather than treating AI as a supporting capability, the company placed it at the center of its business model. Senior leadership aligned around a clear vision — to integrate data, techn
Case Study: Omnicom’s AI Transformation From Agency Network to Intelligent Growth Platform
Apr 6, 2026 · original
Omnicom’s AI transformation is best understood not as a technology upgrade, but as a fundamental reinvention of how a modern marketing company creates value. Using a business-led approach, the company has systematically aligned strategy, talent, operations, technology, and data around a single goal: becoming an AI-powered growth platform for its clients. A Business-Led Reinvention of Marketing At the heart of Omnicom’s transformation is a shift in its value proposition. Traditionally, agencies focused on campaign execution — developing creative assets and placing media. Omnicom has moved beyond that model toward delivering measurable business outcomes, such as sales growth and customer lifetime value. This shift is anchored in its proprietary platform, Omni, which acts as an AI-powered operating system for marketing. By integrating data, media, and creative workflows, Omni enables contin
AI-Native Agencies: The Learning Loop That Turns Content Into a Compounding System
Mar 12, 2026 · original
Why AI-native agencies get smarter every month Most teams believe the goal of content is simple: Create something that performs well. If a video succeeds, they celebrate. If it fails, they move on. Then the cycle repeats. But performance alone doesn’t create long-term advantage. The real advantage comes from learning faster than everyone else . This is the final step in the AI-native execution loop — the mechanism that turns experiments into a system that improves continuously. Why most agencies never get smarter At the end of a campaign, traditional agencies usually deliver a report. It contains: Engagement metrics Reach numbers A summary of what performed well Then the next campaign begins. The problem is subtle but important: the report is rarely used to change the system itself . Insights stay in documents instead of influencing future decisions. Each campaign starts almost from scra
Case Study: How WPP Is Transforming Marketing with AI
Mar 11, 2026 · original
Over the past few years, WPP , one of the world’s largest advertising and marketing services companies, has been undergoing a major transformation. Faced with rapid technological change, the rise of digital platforms, and increasing demand for personalized marketing, the company has been repositioning itself as a technology- and AI-enabled marketing platform rather than a traditional agency network. At the center of this transformation is WPP Open , an AI-powered marketing operating system designed to connect data, creativity, and media execution across the company’s global network of agencies. Through this platform and a broader shift in strategy, WPP is reimagining how marketing campaigns are designed, produced, and delivered. Aligning the Business Around an AI-Led Vision WPP’s transformation began with a clear strategic vision from leadership: marketing must become faster, more person
AI-Native Agencies: Publishing Content Like an Experiment, Not a Guess
Mar 9, 2026 · original
Why “post and hope” fails — and how structured testing reveals what actually works Most teams treat publishing as the final step in content creation. The video is finished. It’s uploaded. Now the only thing left is to see what happens. This approach assumes performance is mostly unpredictable. Sometimes a video works. Sometimes it doesn’t. So teams respond the only way they know how: they try to be more creative next time. AI-native agencies approach publishing differently. Instead of asking “Will this video work?” , they ask: “What exactly are we trying to learn from this video?” Because publishing is not the end of the process. It’s the beginning of the experiment . Why “post and hope” produces confusing results When teams publish content randomly, performance becomes impossible to interpret. Different variables change at the same time: Topic Hook Format Video length Posting schedule W
AI-Native Agencies: Producing Short-Form Video at Scale Without Killing Quality
Mar 6, 2026 · original
Where AI ends and human judgment begins The biggest fear around AI in creative work is simple: If production becomes automated, quality will collapse. It’s a reasonable concern. Most AI-generated content today proves the point. You’ve seen it: Generic scripts Empty motivational clips Content that feels technically correct but emotionally dead This isn’t a technology problem. It’s a workflow problem . AI-native agencies don’t replace creative judgment. They restructure production so judgment happens at the right moment. The real bottleneck in content production In most teams, the slowest part of content creation isn’t editing or filming. It’s deciding what to say . People spend hours: Brainstorming ideas Writing scripts Debating angles Revising hooks By the time something gets recorded, creative energy is already exhausted. AI changes this dynamic completely. Instead of starting with a bl

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