01 · Planning and operations
Planning and operations.
Marketing projects on time: agents that automate workflows, surface and manage risks proactively and support problem solving.
Adobe Experience Platform Agent Orchestrator
DIGITAL HUB activates, integrates and operates agents on the Adobe products the brand already uses, starting from defined use cases and with governance, as part of Personalization at Scale.
Adobe AI agents for audiences, content, journeys and data, coordinated by Adobe Experience Platform Agent Orchestrator, with the AI agents in Adobe Experience Platform Agent Orchestrator.
Agentic AI
Adobe Experience Platform Agent Orchestrator is the intelligence and reasoning behind Adobe Experience Platform Agents: a unified way to coordinate an ecosystem of AI agents and resolve complex experience challenges with speed and scale.
It is the agentic layer inside Adobe Experience Platform, not a separate platform. Agents work with the same profiles, governance and security, and they respect the access controls already in place.
Capabilities
Specialized agents for each stage of the work, from planning through data and insights.
01 · Planning and operations
Marketing projects on time: agents that automate workflows, surface and manage risks proactively and support problem solving.
02 · Audiences
Identify and reach the right customers, accounts or buying groups, with continuous intelligence for more relevant engagement.
03 · Content
Intelligence and governance in production, to prepare quality assets, align content to performance goals and activate campaigns on every channel.
04 · Journeys
B2B and B2C journeys that adjust to behavior, context and performance signals, with continuous optimization of progression.
05 · Experience management and delivery
Selection, assembly and delivery of the most relevant experience for each interaction, with brand visibility, governance and faster iteration.
06 · Data and insights
Faster data onboarding, and complex data turned into actionable insights on marketing performance.
How it works
Agents reached and triggered through the AI Assistant, in natural language.
It interprets the prompt and sets the steps to reach the goal, respecting the constraints.
Context so the reasoning engine assigns the right tasks to the right resources.
Monitor, configure and personalize the agents for specific business goals.
Adobe ecosystem
Adobe positions Adobe Experience Platform Agent Orchestrator as the foundation for agents in its applications and for native AI applications, inside Adobe CX Enterprise.
Foundation
Shared profiles, governance and security.
System
Agents in the content, data and journey applications.
Native AI
Brand presence in AI answers.
Native AI
Conversational brand experiences.
Native AI
Accelerated experimentation in journeys.
Native AI
Continuous site optimization.
DIGITAL HUB with Adobe Experience Platform Agent Orchestrator
Agents activated in the brand’s Adobe applications, with defined use cases, permissions and oversight.
Adobe agents coordinated with enterprise data and with third-party agents and systems.
Audience, journey and insight agents in the brand’s Personalization at Scale.
Personalization at Scale →Squads that configure, monitor and expand agents in Agent Composer after launch, with Arc in the delivery.
Arc · how we deliver
Specialists lead, and AI speeds up every stage, from assessment to ongoing operations.
Frequently asked questions
According to Adobe, a new class of enterprise AI that works alongside marketing and creative teams. Built for customer experience orchestration, they automate high-value tasks, surface actionable insights and free time for creative and planning work.
No. It is the agentic layer inside Adobe Experience Platform, with agents built for the product, an advanced reasoning engine and a conversational interface. Agents use the same profiles, governance and security, and they respect each product’s access controls.
Both. When they surface insights and recommendations proactively, they act on their own; when they co-create with the user, they ask for information before continuing. In either mode, they act within the guidelines the user sets.
The reasoning engine uses LLMs and a knowledge base. Adobe trains those models with synthetic data and does not use customer prompts, data, metadata or results to train them.
They are grounded in real-time customer experience data and content, they coordinate with other Adobe or third-party agents and they are extensible: customers, partners and developers can create, configure or integrate agents.
We activate, integrate and operate agents on the Adobe products the brand already uses, from defined use cases and with governance.