AI Collaborators available to Adobe customers can be assigned work—projects, tasks, or issues—just like a teammate. They operate within your existing workspace to help your team plan, execute, and track work with less manual effort and more consistency.
By assigning an AI collaborator to specific steps, it can automatically create project scaffolding, route requests, update fields and statuses, and trigger follow‑on work based on your rules. This strips out repetitive clicks and handoffs so people can stay focused on strategy, approvals, and creative decision‑making.
AI collaborators draw on Workfront context—briefs, timelines, custom forms, assignments, and history—to understand what needs to happen next. When connected to other Adobe applications (such as asset management and creative tools), they can find, analyze, and act on content across your Adobe ecosystem while keeping everything anchored to the source work record.
AI collaborators are gated by admins, inherit Workfront roles and permissions, and can only act within the access and boundaries you define. Every action is explicit, logged, and auditable, and Adobe’s enterprise security and AI governance practices help support data privacy, compliance, and human oversight.
Organizations configure AI collaborators in a central registry within Workfront, where admins or designated owners define each collaborator’s role, instructions, data access, and triggers. From there, they can enable, pause, or refine collaborators.
