> ## Documentation Index > Fetch the complete documentation index at: https://docs.gradial.com/llms.txt > Use this file to discover all available pages before exploring further. # What Is Gradial? > Gradial is the secure enterprise marketing harness that turns a fragmented lifecycle into governed execution — across your existing stack, from brief to live. Gradial is a secure **enterprise marketing harness**: a layer that sits across your existing martech stack and executes the jobs between brief and live, under your brand, accessibility, and compliance controls. New to the term? [What is an enterprise marketing harness? →](/docs/getting-started/what-is-an-agentic-harness) covers the concept — the tools, context, memory, workspace, and guardrails that turn a model into a coworker — and why a harness spans the lifecycle instead of covering a stage. *** ## The Gap Between Idea and Execution Enterprise teams are not short on tools. Most large organizations run a CMS, a DAM, a work management platform, an email platform, design tools, analytics, a ticketing system, and more. These systems hold real value — they store content, track assets, and structure process. And yet the same problem keeps showing up at every organization: Work takes months. Publishing takes weeks. Quality is inconsistent. Creative work gets buried under operational work. **The tools are not the problem. The workflow between them is.** Think of everything that has to happen between a brief and a live web page, email, or communication: * Brief written and approved * Copy drafted, reviewed, revised * Assets sourced or created, uploaded, tagged, optimized * Page or content item authored in the CMS * QA run against brand, accessibility, and compliance rules * Approval workflow completed * Variants created for different audiences, regions, or channels * Launch scheduled and coordinated Every step touches a different system. Every handoff is manual. Every tool creates a queue. The workflow is slow, expensive, and fragile at every seam. This is not a people problem. Teams are working hard. It is a **structural problem**: the systems they depend on were built to store and manage work, not to execute it — and certainly not at the speed and scale the AI era now demands. *** ## Systems of Record vs. the Harness This framing is the key to understanding where Gradial fits: | | Systems of Record | The Harness | | - | - | - | | **What they do** | Store information, manage process | Execute outcomes | | **Examples** | CMS, DAM, CRM, ticketing, analytics | Gradial | | **Who acts** | Humans navigate tools to do the work | Agents do the work; humans govern and direct | | **In the AI era** | Become endpoints and data sources | Becomes the platform with the necessary to execute & govern the work | Enterprise organizations have built a strong ecosystem of systems of record. These investments have value and aren't going anywhere. What has been missing is the **harness** that sits across all of them — the layer that can execute the jobs between brief and live, at the scale and consistency AI now makes possible, without loosening a single control. That is the gap Gradial fills. *** ## What Gradial Is **Gradial is the secure marketing harness that turns a fragmented lifecycle into governed execution.** It connects to the systems you already run, executes the work between brief and live with digital coworkers, and applies your brand, accessibility, and compliance standards to every output — automatically. Three words carry the weight: Least-privilege integrations, roles and workspace boundaries, full audit trails, and hard limits on what agents can do unsupervised — spend changes and production publishes stay gated on human approval. IT and security govern the tools, access, and models; marketing governs the standards. Not a chatbot, not a copilot, not another point solution for one stage. The scaffolding around frontier models — tools, integrations, context, memory, workspace, guardrails — purpose-built for the systems and processes enterprise marketing actually runs on. The work gets done, end to end, and every output is checked before it moves. Governance is part of the motion rather than a queue bolted onto the end, so throughput and coverage go up together. ### From fragmented lifecycle to one motion The lifecycle is fragmented because each stage lives in a different tool, and the cost sits in the handoffs between them. Gradial executes across the whole span — strategy and planning, creative, assets, channels, authoring, review and QA, launch, and analysis — so a brief moves to live inside one system instead of being carried across nine. Your team still owns the strategy. Gradial takes the brief and carries it through the stages that take weeks. The key word is *execution*. Gradial's digital coworkers create, author, schedule, govern, optimize, and operate end-to-end — across the full range of jobs marketing, communications, and digital teams need to get done. ### What Gradial's agents handle Turn a brief into a structured, prioritized set of tasks. Pre-schedule and sequence work across teams and systems. Manage the workflow from brief to live — with AI-reviewed steps, human-reviewed steps, and shared approval queues that keep the right people in the loop at the right moment. Automate website updates of any size. Build landing pages, product pages, internal resource pages, and homepage experiences from a brief, Figma file, or prompt. Author emails, announcements, and communications. Create variants for different audiences and regions. Migrate content across platforms. Produce structured artifacts — copy docs, update logs, briefing sheets — alongside every execution. Upload, name, tag, and retrieve assets across multiple DAMs simultaneously. Apply metadata at scale. Swap assets while preserving links and relationships. Auto-generate and validate alt-text for accessibility. QA, accessibility, brand, and compliance checks on every piece of content, every time, automatically. Gradial's built-in brand intelligence layer encodes your standards, voice, and institutional knowledge — and applies them on every task, not just when the right person is in the room. GEO analysis, site audits, and CX optimization — agents that review your content before it goes live and continue optimizing flows after publish. AI that doesn't just surface recommendations: it acts on them. Publish and schedule organic social, and build paid campaign structures for search and social — created paused, with spend changes always gated on human approval. Merchandising and product content in your commerce platform from the same brief. Create page variants and run experiments with real-time data. Native Adobe Target integration closes the loop between insight and action — browse, create, preview and activate activities without leaving Gradial. **Want the range in concrete terms?** The [Customer Use Cases](/docs/gradial-prompt-library/customer-use-cases) library has real examples organized by where you are in the marketing lifecycle — strategy, planning, creative, assets, channel orchestration, authoring, review, launch, and optimization — each with a prompt you can copy and adapt. *** ## What Makes Gradial Different Four architectural decisions set Gradial apart from other AI tools in the market. Most AI tools assist individuals. Gradial orchestrates work across entire teams — coordinating humans and agents in a shared workflow where each step can be AI-executed, human-reviewed, or both. Approval flows aren't a bolt-on. Every task in Gradial can have AI-reviewed checkpoints and human sign-off gates, so governance doesn't slow execution — it's built into the motion. Teams stay in control of what matters while agents handle the operational work at scale. * AI-reviewed and human-reviewed steps in the same workflow * Shared task queues across teams and systems * Structured artifacts — copy docs, spreadsheets, audit logs — produced alongside every execution * Ticketing system integration so work moves through the tools already in place Enterprise organizations use Figma, SharePoint, multiple CMS platforms, multiple DAMs, Workfront, Jira, Salesforce Marketing Cloud, Marketo, and more. Any platform that works with only some of those tools creates new silos. Gradial connects natively across the full stack: CMS platforms, DAMs, email and marketing automation platforms, ticketing systems, paid media, social, commerce, CRM and analytics. See [Integrations](/docs/integrations-administration-and-setup/integrations/get-started-with-integrations) for the current list. Assets are searchable across connected repositories, with one semantic index over your primary DAM. For internal systems and custom tooling, Gradial supports **native MCP integration** — meaning teams can connect proprietary knowledge bases, internal AI context layers, or custom workflows directly. Campaigns can be kicked off from Claude, from Slack, or from any MCP-connected internal tool. No new interfaces required. * No rip-and-replace. No digital transformation required * Works across all your marketing systems, whatever they are * Your own REST API or a secure MCP server: connect internal systems and kick off work from Slack or Claude Most analytics tools surface recommendations and stop there. Acting on those recommendations still requires manual work across multiple systems. Gradial closes that gap. GEO analysis, site audits, and CX optimization agents don't just report — they execute. An agent that identifies a content gap can author and publish the fix. An agent that spots an accessibility violation can remediate it. The insight and the action live in the same platform. * GEO analysis that feeds directly into content execution * Site audit agents that flag issues and fix them * CX optimization agents that review content before go-live and tune flows after publish * Experimentation integrated natively with Adobe Target Most AI tools make a bet on a single model from a single provider. That creates a ceiling: performance is capped by what that one model does well today, with no flexibility as the landscape changes. Gradial is multi-model by design. The platform uses the best-performing model for each task and switches as better options emerge. An evals framework continuously measures output quality across task types — so model selection improves over time based on real production results, not benchmarks. * Gradial selects the right model for each job automatically * A built-in evals system measures and improves output quality continuously * Your organization benefits from model improvements without migration or retraining * No AI vendor lock-in, ever *** ## Outcomes in Production When organizations use Gradial, the results are measurable: Content that took months now takes hours. From brief to live, faster. Teams execute more work without adding headcount. The same people who managed queues now direct outcomes — at a scale that wasn't possible before. Brand, accessibility, and compliance checks run on every output, automatically — not sampled occasionally. Higher throughput means more campaigns in market, more audience segments served, and more personalized experiences — driving measurable top-line growth. *** ## Getting Access Log in at **app.gradial.com**. If you don't have an account yet, ask your Gradial org admin to invite you — see [Manage Team Members](/docs/integrations-administration-and-setup/managing-access/manage-team-members). Once invited, follow your org's login method (SSO or email/password). [Request a demo](https://www.gradial.com/request-demo) to see Gradial running against your actual CMS and content — not a generic sandbox. *** ## Where to Go Next The concept behind the positioning: what a harness is made of, why it spans the lifecycle, and how the learning loop makes each campaign better than the last. The mental model: how work comes in, how it gets executed across your stack, and how Gradial builds a working understanding of your organization. What to actually ask for, organized by the marketing lifecycle — with copy-and-adapt prompts for each one. Guided paths for evaluating Gradial, setting up the platform, or getting productive day-to-day. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.