Adobe launches CX Enterprise Coworker agentic AI solution for customer experience orchestration


Adobe has announced the general availability of Adobe CX Enterprise Coworker, an outcomes-based agentic AI solution designed to help organizations move beyond AI experimentation and into value realization.

The platform works across Adobe’s customer experience ecosystem, enabling businesses to automate workflows, coordinate AI agents, and manage customer journeys more efficiently.

The new offering activates a suite of Adobe enterprise applications used by more than 20,000 global brands to unify customer data, create brand-compliant content, and support Customer Experience Orchestration (CXO).

What is Adobe CX Enterprise Coworker?

Adobe CX Enterprise Coworker serves as a central intelligence layer that combines insights from Adobe and third-party applications. It coordinates AI agents and workflows across analytics, content creation, journey orchestration, and other business functions, helping teams execute initiatives ranging from marketing campaign launches to customer retention programs.

Adobe says businesses can use the platform to reshape how they attract and retain customers through a customized interface tailored to industry requirements and business objectives.

Key platform capabilities
  • Built on open standards including Model Context Protocol (MCP) and Agent2Agent (A2A).
  • Designed as a flexible, customizable, and composable agentic AI solution.
  • Automates business workflows across multiple functions.
  • Supports interoperability regardless of an organization’s technology stack.
  • Operates across Adobe applications and third-party AI platforms.
Supported AI platforms
  • Amazon Web Services (AWS)
  • Anthropic
  • Google Cloud
  • Microsoft
  • OpenAI
  • Other compatible AI platforms

Key use cases

Marketing campaigns

Adobe says CX Enterprise Coworker can simplify campaign ideation, approvals, and execution. According to the company, lengthy campaign workflows often limit experimentation and create bottlenecks for organizations looking to personalize experiences at scale.

Key capabilities include:

  • Identifying relevant audiences for campaigns.
  • Creating brand-aligned creative assets.
  • Building cross-channel customer journeys.
  • Supporting campaigns based on predefined engagement or conversion goals.
  • Accelerating campaign launches while keeping teams in control of approvals and strategy adjustments.

Customer engagement

The platform continuously monitors customer interactions across channels such as websites and social media to help organizations improve engagement and retention efforts.

Capabilities include:

  • Monitoring performance signals in real time.
  • Evaluating activities against defined business objectives.
  • Identifying opportunities to surface highly personalized offers.
  • Supporting retention efforts for customers at risk of disengaging.
  • Adjusting workflows to improve outcomes and business performance.

Adobe says this approach moves AI agents beyond simply completing tasks and helps teams achieve business goals with greater precision.

Marketing operations

CX Enterprise Coworker can also streamline internal processes that often slow campaign execution.

Key functions include:

  • Reviewing marketing content for compliance with brand guidelines.
  • Applying existing data policies, consent requirements, and permissions.
  • Providing governance guardrails automatically within workflows.
  • Simplifying review and approval cycles.
  • Coordinating collaboration across teams.
  • Managing cross-functional workflows more efficiently.

Part of Adobe CX Enterprise

Adobe CX Enterprise Coworker is the latest addition to Adobe CX Enterprise, the company’s end-to-end agentic AI system designed to help businesses manage the entire customer lifecycle, from customer acquisition and engagement to conversion and long-term loyalty.

Adobe stated that Adobe Experience Platform, which serves as the contextual layer within CX Enterprise, now powers more than 1 trillion customer experiences annually. The platform is used by organizations to bring customer data sources together and provide the intelligence needed to support AI agents and business workflows.

Self-service capabilities for smaller teams

Adobe says the offering is also designed for smaller marketing teams through a self-service approach that simplifies campaign creation from audience identification to personalized journey design and content development.

Built on Adobe’s enterprise-grade architecture, the platform can use business context such as marketing briefs and previous campaign performance to generate campaigns more quickly.

Using natural language prompts, marketers can:

  • Describe campaign objectives.
  • Generate campaign plans automatically.
  • Create brand-compliant content.
  • Identify target audiences.
  • Design customer journey flows for designated audiences.
  • Launch campaign workflows from a single interface.

Embedded analytics and data-query capabilities allow marketers to evaluate campaign performance and measure outcomes.

Pricing and availability

Adobe CX Enterprise Coworker is now generally available and can be purchased as either:

  • A standalone solution.
  • An add-on for new and existing Adobe customers.

Adobe says businesses can access the offering immediately through introductory pricing and scale usage based on the value delivered by the platform.

According to the company, organizations can begin using agentic workflows right away while extending existing Adobe CX Enterprise investments with AI-powered workflow orchestration and automation.

Adobe says the offering allows organizations to add AI-powered workflow orchestration and automation on top of existing CX Enterprise deployments, while supporting broader adoption of the platform over time.

Speaking on the launch, Anjul Bhambhri, SVP of Engineering, Customer Experience Orchestration at Adobe, said:

Many organisations are struggling to turn AI adoption into measurable business outcomes. CX Enterprise Coworker was designed to help teams achieve better results, reshaping workflows with agentic AI that is grounded in brand, customer and channel intelligence.