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Adobe Workfront Features

Collaboration with agents

Scale work with AI embedded in Adobe Workfront — where people set direction, agents execute with operational context and teams can bring AI into the tools and workflows they already use.

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Delegate work to agents, with Workfront context and governance controls built in.

Extend enterprise capacity with AI Collaborators — context-aware AI agents that can execute tasks and help advance projects at scale. AI Collaborators connect to Adobe and non-Adobe agents and offer built-in governance controls and the flexibility to introduce AI into your workflows one task at a time.

  • Assignable agents. Assign routine work to agents the same way you assign it to people to keep projects moving and expand team capacity.
  • Ready-to-use AI Collaborators. Begin with ready-to-use AI Collaborators, like Project Coordinator and Intake Coordinator, to manage work more efficiently.
  • Bring your agents. Connect AI Collaborators to Adobe CX Enterprise Coworker or supported non-Adobe agents and put them to work building audiences, localising content, writing copy, creating email campaigns and more.
  • Easy to create and scale. Set up new AI Collaborators quickly, then reuse across the team.
  • Start small, scale with oversight. Delegate one task at a time, then expand across broader workflows as trust grows.

Extend Workfront capabilities through Adobe CX Enterprise Coworker.

Automate workflows and speed project set-up using Coworker directly in the Workfront right rail. Teams can use simple prompts to set up workspaces, create projects, accelerate reviews, surface insights and more.

  • Intelligent workspace set-up. Quickly turn inputs and documents into action-ready Workfront Planning workspaces.
  • Smart project creation. Automatically create projects, apply templates, set priorities and generate connected plans.
  • Content review acceleration. Create multistage approval workflows and make bulk updates quickly.
  • Quick insights. Ask in natural language for quick summaries and insights across active Workfront projects.

Connect Workfront to Claude and other AI platforms.

The Workfront MCP makes your operational data available to supported AI platform — because AI results depend on the context it can access. With MCP, your team can interact with Workfront from whichever AI environment they already use, without switching systems.

  • Prebuilt connectors. Integrate through one-click, platform-approved connectors — Claude Chat, Claude Code and Claude Cowork are available today. Additional connectors, including for Copilot, ChatGPT and Gemini, are planned. Availability and timing may change.
  • Customised skills. Build organisation-specific skills that interact with Workfront, from capturing campaign requests in Claude to generating scheduled reports that summarise overdue tasks every Monday.
  • Bi-directional context, one permission model. Operational data flows out to supported AI platforms and AI actions flow back into Workfront. Reads and actions through Workfront MCP are designed to operate within the same Workfront permissions your team already uses.

Learn more about AI Collaborators.

https://main--da-bacom--adobecom.aem.page/fragments/products/workfront/ai-collaborators/deeper-content

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Learn more about collaborating with agents.

Find what you need in Adobe Experience League, our vast collection of how-to content — including documentation, tutorials and user guides.

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Questions? We have answers.

What are AI Collaborators in Workfront?

AI Collaborators, available to Adobe customers, can be assigned work — projects, tasks or issues — in a way similar to assigning work to team members. They operate within your existing workspace to help your team plan, execute and track work with less manual effort and more consistency. They connect to both Adobe and non-Adobe agents and enable enterprises to bring agents into their Workfront environment with scoped access for governance and control.

How do AI Collaborators help automate project workflows?

When you assign tasks, reviews or issues to an AI Collaborator, it uses rich context from Workfront to complete the work and returns the result to Workfront for review. This can reduce the copy-and-paste and context reassembly that come with working one-to-one with AI. By automating frequent processes, AI Collaborators can free up your team to direct the work and approve the results. AI-generated work should be reviewed before use.

How do AI Collaborators use context from Workfront and the Adobe ecosystem?

AI Collaborators draw on Workfront context — briefs, timelines, customised forms, assignments and history — to help determine what needs to happen next. When connected to other Adobe applications (such as asset management and creative tools), they can find, analyse and act on content across your Adobe ecosystem while keeping everything anchored to the source work record.

How does Workfront help control AI Collaborators?

AI Collaborators use the same role-based permissions as human users. The creator controls what data an AI Collaborator can see and what actions it can take. Supported actions are logged and auditable and Adobe’s enterprise security and AI governance practices help support data privacy, compliance and human oversight.

How do organisations create and manage AI Collaborators within Workfront?

Organisations can configure AI Collaborators in a central registry within Workfront, where admins or designated owners define the role of each AI Collaborator and provide instructions, data access and triggers. From there, organisations can enable, pause or refine AI Collaborators like any other Workfront user, starting with prebuilt patterns and tailoring them to their specific use cases over time.

Can AI agents from other platforms work with Adobe’s AI Collaborators?

Yes. AI Collaborators can connect to supported AI Agents through a public API endpoint, MCP endpoint or agent-to-agent connection.

When do I use Workfront’s AI Collaborators versus Fusion?

Use Adobe Workfront Fusion for predictable, rule-based work, such as syncing systems, mapping fields, applying date offsets or triggering actions when defined conditions are met. Use AI Collaborators when inputs are ambiguous and the work calls for interpretation, such as interpreting a brief, extracting information and then executing the work. Review AI-generated work before use.