On the occasion of the Adobe Summit, the company’s annual conference dedicated to the customer experience, Adobe unveiled CX Enterprise, a platform built around agentic artificial intelligence designed to orchestrate the entire spectrum of interactions between businesses and their customers. A strategic launch, both technological and financial, in a climate of mounting pressure on its stock price.
A Launch Under Strain
The backdrop could not be more charged. Adobe’s shares have fallen roughly 30% since the start of the year, swept up in a wave of investor skepticism toward traditional software publishers as autonomous AI tools gain ground.
Anthropic, which has just unveiled Claude Design—a tool that lets you create visuals, prototypes, and presentations directly from its chatbot—illustrates how quickly the boundary between generative AI and creative tools is narrowing.
Are these newcomers not risking rendering them obsolete? The launch of CX Enterprise is Adobe’s answer to that question. .
An End-to-End Agentic AI System
The platform presents itself as an end-to-end agentic AI system, capable of reasoning, planning, and autonomously executing multi-step actions. It unifies three domains that have long been siloed: the content supply chain, customer engagement, and brand visibility.
Among its flagship components, the following stand out:
- CX Enterprise Coworker, developed in partnership with NVIDIA, which acts as a true “AI colleague” aligned with the business objectives of the implementing company.
- Adobe Brand Intelligence, which ensures communications stay consistent with brand guidelines, at any deployment scale.
- Adobe Engagement Intelligence, which optimizes marketing decisions to maximize long-term customer value (CLV).
- An open architecture built on the Model Context Protocol (MCP), enabling the integration of third-party agents and external AI models.
What sets CX Enterprise apart from earlier solutions is a departure from isolated conversational AI: the platform orchestrates marketing, content, and data across the entire customer lifecycle (acquisition, engagement, conversion, and loyalty).
Clearly Defined Business Objectives
The platform is designed to address concrete business challenges that large brands—more than 20,000 of which rely on Adobe’s solutions—have voiced for years.
While it does not claim to be the market’s most advanced AI model, it positions itself as the most useful in an enterprise setting.
Break Down Silos. Marketing organizations suffer from chronic fragmentation between their tools, data, and teams. CX Enterprise is designed to unify these streams into a coherent orchestration, without businesses having to rebuild their infrastructure from scratch.
Accelerate Growth. By anticipating customer intents and personalizing journeys in real time, the platform aims for optimization that is directly correlated with revenue and customer value.
Improve Operational Efficiency. Automating complex tasks—such as workflow management via Adobe Workfront or the creation of dynamic audiences—should allow teams to focus on higher-value activities.
Maintain Trust. Adobe emphasizes governance, security, and transparency built into the platform, a differentiating factor against AI solutions that are less regulated, especially in a European regulatory environment with stringent compliance requirements.
An Ecosystem of Partners
Adobe also announced a substantial expansion of its partner network. In the agency landscape, groups such as Omnicom, Publicis, WPP, dentsu, Havas, and Stagwell now rely on the platform to co-develop sector-specific solutions. Large consulting firms—Accenture, Deloitte Digital, PwC—offer packaged integration services.
On the technology front, Adobe is partnering with Amazon, Microsoft, Anthropic, OpenAI, and Nvidia to ensure CX Enterprise interoperability.
