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Gradial’s operating model can be summarized in three words:

Assign the work

Work comes in from wherever it originates — Gradial’s interface, a Jira ticket, a Workfront task, a brief or work request. No change to how you initiate work.

Agents execute

Agents read the task, understand the intent, and execute end-to-end across connected systems — without manual handoffs between tools.

Governance is automatic

Every output is checked against brand, accessibility, compliance, and QA rules the organization has defined — on every task, every time.
Everything about how Gradial works flows from this model.

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The Anatomy of a Task

To make this concrete, here is what a single task lifecycle looks like:
1

Task created

Via Gradial’s interface, a connected ticketing system (Jira, Workfront, Wrike), or a brief or work request document. Work can also be pre-scheduled and queued with dependencies set in advance.
2

Agent picks up the task

Reads the description, identifies the target content, and determines which systems are involved.
3

Agent retrieves context

Pulls relevant assets from the DAM, references brand rules and guidelines, checks templates and content patterns for the relevant page type.
4

Agent executes the work

Authors, updates, tags, builds, or publishes as specified — navigating connected systems the way a skilled team member would.
5

Governance runs automatically

QA, accessibility (WCAG 2.2 AA), brand, and compliance checks are applied to the output before it reaches a human reviewer.
6

Output is reviewed

The team reviews at whatever level of oversight is configured — full review, spot-check, or auto-approve for trusted task types.
7

Task completed

Status updated across connected systems. Audit trail created. Follow-on tasks triggered if needed.
This cycle takes minutes for a standard content update. For bulk operations — updating hundreds of pages across a site — the same cycle runs in parallel across all items simultaneously.

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Specialized Agents

Gradial is not a single general-purpose agent. It is a coordinated system of specialized agents — each built for a distinct category of marketing work — that can be orchestrated together across complex, multi-step jobs.

Content Updates Agent

Executes content changes across web pages — from a single field update to bulk operations across hundreds of pages. Understands CMS component structures, authoring rules, and publishing workflows.

New Page Agent

Builds net-new pages from a reference, brief, Figma file, or prompt. Translates design intent into a fully authored, published page within the existing CMS structure.

DAM Librarian Agent

Manages digital assets — uploading, naming, tagging, applying metadata schemas, retrieving assets for use in other tasks, organizing libraries at scale.

QA Agent

Runs quality checks against the organization’s defined standards: brand accuracy, accessibility compliance, legal and regulatory requirements, and custom criteria.

Email Agent

Authors and builds emails within connected email platforms, creates variants, and applies the same QA and brand checks used for web content.

GEO Agent

Tracks how the organization’s brand appears in AI-generated answers. Surfaces gaps and opportunities, and connects findings to executable optimization tasks.

Brief & Campaign Agent

Turns a campaign brief into a structured, actionable set of tasks — broken down by channel, content type, and dependency — ready for execution by the relevant specialized agents.

Translation Agent

Handles content translation tasks across pages and assets, supporting multi-region and multi-language execution at scale.

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Orchestration in action

When a job requires more than one agent, Gradial’s orchestration layer coordinates their work automatically — sequencing tasks, passing outputs between agents, managing dependencies.
Example: Launch a localized campaign landing page in three markets
  1. Brief & Campaign Agent breaks the brief into tasks: one new page build, three localized variants, QA on all four, assets needed for each
  2. New Page Agent builds the primary page from the Figma reference
  3. DAM Librarian Agent retrieves and tags the required assets
  4. Translation Agent creates the three regional variants
  5. QA Agent runs brand, accessibility, and compliance checks across all four pages
  6. Status is logged back to the work management system; team is notified for review
What would typically require coordination across multiple tools, teams, and handoffs is one job in Gradial.

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How Gradial Connects to Your Stack

Gradial is integration-first by design. A task that requires finding an asset, updating a CMS page, running a QA check, and logging the completion in a ticketing system is one task in Gradial — not four separate steps across four separate tools.
CategorySupported platforms
Content managementAdobe AEM (6.5 and Cloud), Sitecore
Digital asset managementAEM Assets, Bynder, Content Hub
Work management & ticketingJira, Workfront, Wrike, Asana
Email platformsMarketo, Salesforce Marketing Cloud
DesignFigma
ProductivitySharePoint, Word, Excel
AnalyticsAdobe Analytics, GA4
CustomSecure MCPs — connect internal knowledge bases, proprietary data systems, or custom AI context layers
Integrations are configured once during implementation. Once in place, they’re available to all agents and users in the workspace — no per-task configuration required. See full integration setup documentation →

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How Gradial Gets Smarter Over Time

An agent that can execute work is only as good as its understanding of what good looks like for a specific organization. Generic AI outputs are not enterprise outputs. Gradial builds organizational context across four areas:
Organizations bring their brand guidelines, tone documents, and editorial standards into Gradial. Agents reference these on every content task. Over time, as agents complete more tasks and teams review outputs, the platform develops a working understanding of what on-brand actually means in practice — beyond what a style guide alone can capture.
What passes a QA check at a financial services company is different from what passes at a consumer brand. Gradial learns an organization’s specific QA criteria — accessibility standards, regulatory language requirements, brand accuracy rules, custom checks — and applies them consistently. As those thresholds evolve, Gradial evolves with them.
Organizations develop patterns over time — how pages are structured, how assets are named, how campaigns are briefed. Gradial learns these patterns and applies them, so agents produce outputs that fit naturally into the existing environment rather than requiring extensive post-processing.
Some teams prefer agents to draft for review; others want agents to publish directly for certain task types. Some route approvals through specific channels; others use automated sign-off for routine work. Gradial learns these preferences and adjusts how it handles work accordingly.

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The progression most teams follow

StageWhat it looks like
EarlyAgents execute with frequent human review. The platform is calibrating to the organization’s standards. Every review is input.
EstablishedAgents handle a wider range of tasks with lighter oversight. Outputs consistently meet the bar for common task types. Human review shifts toward edge cases.
AdvancedAgents operate with high autonomy on routine jobs. Teams focus on directing outcomes, not reviewing execution.
The pace of this progression varies. Some teams move through all three stages in weeks; others take longer. The level of autonomy is always in the team’s control.
Ready to go deeper? Request a demo to see agents running against your actual CMS and content, or navigate the platform → to see how these concepts map to the Gradial interface.