Adobe has launched a new vision for marketing in the age of AI, positioning “agentic” systems as the next evolution of customer experience.
The centrepiece is Adobe CX Enterprise, an end-to-end platform designed to orchestrate the entire customer lifecycle using AI agents that can plan, execute and optimise marketing workflows with minimal human input.
The announcement marks a significant shift in how enterprise marketing technology is being framed. Rather than treating AI as a set of isolated tools, Adobe is pitching a fully integrated system where autonomous agents collaborate across data, content and channels to deliver personalised experiences at scale.
More than 20,000 global brands already rely on Adobe’s ecosystem, and the company is now betting that those same clients are ready to move beyond experimentation into what it calls “agentic enterprises” – organisations where AI agents are embedded into everyday operations.
“Adobe CX Enterprise enables businesses to scale agentic AI with a fully customizable solution that is tailored to the needs of their organisation, moving teams beyond AI experiments to tangible business outcomes,” said Anil Chakravarthy, president of Adobe’s Customer Experience Orchestration division.
At the core of the new offering is a system that combines AI agents, reusable “agent skills” and Model Context Protocol (MCP) endpoints, all governed by an intelligence layer designed to ensure outputs remain reliable, brand-safe and auditable. Adobe says this governance layer is critical as businesses look to deploy AI at scale without losing control over brand consistency or compliance.
The platform is powered by two new engines: Brand Intelligence, which continuously learns and interprets brand signals, and Engagement Intelligence, which focuses on decision-making tied to customer lifetime value. Together, they aim to ensure that every interaction—whether a marketing email, ad or in-app message – aligns with both brand guidelines and business objectives.
Adobe’s move comes as competition intensifies among tech giants to own the AI-driven marketing stack. The company is leaning heavily into partnerships, announcing deeper interoperability with players including Amazon Web Services, Google Cloud, Microsoft, IBM, NVIDIA, OpenAI and Anthropic.
This open ecosystem approach reflects a broader industry reality: brands are increasingly operating across multiple platforms and vendors, and any attempt to centralise AI workflows must integrate seamlessly with existing tools.
A key component of CX Enterprise is the “Agent Orchestrator,” which allows businesses to build and manage fleets of AI agents across Adobe and third-party environments. These agents can handle tasks ranging from content production to campaign optimisation, effectively automating workflows that traditionally required multiple teams.
Adobe is also introducing a “CX Enterprise Coworker,” a higher-level orchestration agent designed to translate business goals into multi-step execution plans. For example, a marketing team aiming to increase cross-sell performance could rely on the system to assemble audience segments, generate creative assets, deploy campaigns and monitor results—only requiring human approval at key checkpoints.
What does it mean for brands?
Agentic AI signals a shift from building campaigns step by step to setting clear business outcomes and letting systems figure out how to achieve them. Instead of manually assembling campaigns, brands will define goals like growth or retention, with AI handling much of the planning and execution. That brings speed and scale, but it also raises the pressure on marketers to be sharper about strategy and what success actually looks like.
Personalisation also steps up significantly.
With AI agents able to process and act on real-time customer data, brands can deliver far more tailored experiences across channels. The upside is stronger relevance; the risk is that automation can quickly tip into experiences that feel over-engineered or off-brand if not carefully controlled.
At the same time, governance becomes critical. Adobe’s focus on auditable AI reflects growing scrutiny around how automated decisions are made, meaning brands will need to balance automation with transparency and control.
Finally, marketing teams are likely to shift. Routine execution work gets increasingly automated, pushing people toward higher-value roles in strategy, creativity and oversight rather than production.
