Entirely OS.

The World's First Operating System for Agentic Marketing.

It runs securely on AWS — built for enterprise marketing teams.





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Knows your marketing context

Entirely OS enables AI agents to act correctly because they know your context, not just marketing in general.

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Enforces every policy, logs every action

Entirely OS equips AI agents with compliance checks at every action, audit trails, tiered approvals and human escalation.

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Removes coordination from the campaign cycle

Entirely OS handles the handoffs between systems, tools and people that currently slow campaigns down.

Entirely OS Agents

Any agent type. Any level of autonomy.

Not every task needs the same level of AI involvement. Choose the autonomy that fits your workflow, from agents that surface insights, to agents that execute tasks, to agents that run entire workflows end-to-end.

Assistant

Surfaces answers.
Recommends next steps.

The Assistant connects to your tools, reads what's happening across your stack, and tells you what it means. Ask it a question in plain language. Get a clear answer, with context and reasoning, not just data.

What changes:

  • Faster answers to questions that used to require pulling reports from three different systems
  • Better decisions because the context is already assembled
  • Less time spent searching, exporting, and reconciling data across tools

Executor

Takes defined actions.
Returns finished output.

The Executor doesn't just recommend, it acts. It decides which tools to call, what steps to run, and in what order, then delivers the completed output. Bounded by what you define. Faster than any manual process.

What changes:

  • Less manual production work on repeatable tasks
  • Fewer errors from copy-pasting across tools
  • Faster turnaround from brief to finished output

Orchestrator

Surfaces answers.
Recommends next steps.

The Operator manages work across multiple steps and sessions. It monitors for triggers, sequences tasks based on dependencies, verifies each step before moving forward, and escalates when something needs a human decision. It doesn't stop when you log off.

What changes:

  • Cycle time drops because work no longer waits on coordination
  • Fewer incidents because execution is verified and exceptions are caught early
  • Your team focuses on decisions and approvals, not on chasing status updates

Meet your new colleagues.

Each agent has a clear role, a clear remit, and a name your team will learn. They share one semantic model, one governance layer, and one orchestrator that decides who picks up what.

The agents understand how you do marketing, and how to work with your existing tools and data. And they become smarter over time.

Entirely OS runs securely on AWS. This is where you create the agents, configure them, and put them to work. Built for enterprise marketing teams.

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This is our vision of an agentic future of marketing.
What is yours?

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We are at the beginning of a genuine shift in how enterprise marketing gets done.
AI agents are moving from experiment to infrastructure, and the organizations that define how they work, govern them well, and learn from them early will have an advantage that is very hard to replicate later.

We built the Agentic Marketing Lab to work through that transition with you, not in theory, but in your real environment, with your real campaigns. 

Want to shape what agentic marketing looks like for your organization? 

Learn about the Agentic Marketing Lab

Capabilitys every agent runs on.

Connects to any system in your stack

Any marketing tool with a standard API can connect to Entirely OS. When a new tool is added, the platform automatically discovers what it does, what data it holds, and what operations it supports, then registers it as a source agents can query and act on.

Adding a new system to an existing deployment is a configuration task, not an engineering project. Your existing tools do not need to change.

Key metric: Reduction in integration time and IT dependency

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Works wherever your team works

Marketers trigger briefs, ask questions, and review approvals from inside Slack, Microsoft Teams, or their AI workspace, without logging into a new platform. Entirely OS runs in the background. The interface your team uses stays the same.

Key metric: Reduction in context-switching and tool fatigue

Built around how your organisation does marketing

At the core of Entirely OS is the Intelligence Graph: a proprietary, organisation-specific knowledge graph built from the systems you already use. It encodes how your campaigns connect to budgets, how approval chains map to markets, how brand rules apply per channel, and what your compliance team approved last quarter.

Agents work from your Intelligence Graph, not generic training data. When a campaign is done, everything learned goes back into the graph, making the next run smarter. That advantage cannot be replicated without running the same campaigns in the same organisation.

Key metric: Reduction in agent errors and out-of-policy actions

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Governed execution at every step

Every action is classified before it runs. Routine operations execute automatically. Consequential ones notify a named approver with a defined window to review. High-impact or out-of-policy actions are blocked until explicitly approved.

Every decision is logged with its reasoning and outcome. This is what enterprise deployment requires, and what most AI tools skip entirely.

Key metric: Reduction in compliance incidents and audit preparation time

Decision memory that improves over time

Every campaign adds to a structured record of what was decided, what was done, and what the outcome was. When a similar brief arrives, that record informs the next run.

Over time, the system gets measurably better at your specific campaigns, your markets, and your constraints. That advantage cannot be replicated without running the same campaigns in the same organisation.

Key metric: Improvement in campaign performance over successive runs

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Agentic Marketing Lab

From first conversation to agents in production.
Typically eight to twelve weeks.

A structured program, not a pilot that goes nowhere. We build and deploy together, in your real environment, until the agents run reliably and your team is in control.

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1. See it in action

Watch agents run on real campaign workflows. Understand what connects to your stack and what production deployment looks like, before you commit to anything.

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2. Find your highest-value use case

A focused workshop to map your current workflows, tools, and constraints. We identify where agents create the most value and define what measurable success looks like for your organisation.

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3. Agents in production

We build and deploy together in your real environment, connected to your systems, governed by your policies, until the agents run reliably and your team is fully in control.

Curious whether the Agentic Marketing Lab is the right fit for your team?

Let's find out! No commitment, no agenda.

Common questions.

Frequently asked questions.

Who is building the agents - your team or ours?

Both, depending on what you need. Entirely OS ships with a set of pre-built agent personas Vera, Theo and Ada, and others, that are ready to deploy. For use cases specific to your organisation, we build together during the Agentic Marketing Lab. Over time, your team can configure and extend agents directly inside the platform without engineering support.

How long does initial onboarding and implementation take?

The Agentic Marketing Lab runs eight to twelve weeks from first conversation to agents in production. That includes discovery, use case definition, integration, and deployment in your real environment. The timeline depends on the complexity of your stack and the number of systems we connect in the first phase.

Can we bring our own LLM?

Yes. Entirely OS is model-agnostic. You can connect your preferred large language model whether that is a model you already license, a private deployment, or one we recommend. The platform's governance, memory, and orchestration layers work independently of the underlying model.

What happens to our data?

Your data stays yours. Entirely OS does not use your campaign data, decisions, or outcomes to train shared models. Everything the system learns about your organisation stays within your deployment. We are happy to walk through our data architecture in detail during a discovery call.

Is Entirely OS compliant with GDPR and the EU AI Act?

Yes. Entirely OS is built with enterprise compliance requirements as a core design constraint, not an afterthought. The platform includes a full audit trail for every agent action, tiered approval workflows, and automatic compliance checks against your defined rulebooks. It is designed to meet GDPR, the EU AI Act, and CCPA requirements. We can provide detailed compliance documentation on request.

What systems can Entirely OS connect to?

Any marketing tool with a standard API. That includes major platforms across DAM, CMS, PIM, CRM, paid media, analytics, email, social, and project management. When a new tool is connected, the platform automatically discovers its capabilities, no custom integration work required. If you have a specific tool in mind, ask us and we will confirm compatibility.

How is this differrent from Jasper AI / Anthropic Agents?

Jasper and similar tools are built for content generation. Anthropic's agent frameworks are developer infrastructure. Entirely OS is neither. It is an Agentic Marketing Orchestration Operating System, purpose-built for enterprise marketing operations, with the Intelligence Graph at its core, a governance layer that meets enterprise compliance requirements, and an orchestration layer that coordinates multiple agents across your full stack. The difference is not the AI model underneath. It is everything built around it: context, governance, memory, and the ability to act reliably across your real environment.

What level of technical resource do we need internally?

Less than you might expect. Connecting tools is configuration, not engineering. Running agents does not require your team to write code. Where technical resource is needed, typically during initial integration, we work alongside your IT or marketing ops team. After deployment, day-to-day use is designed for marketers, not developers.

Can agents be paused, adjusted, or turned off?

Yes, at any time. Every agent operates within boundaries you define. You can adjust autonomy levels, update approval thresholds, pause specific agents, or take any workflow back to manual at any point. Entirely OS is designed so that your team is always in control, the agents work for you, not the other way around.

See Entirely OS run a real campaign brief.

In a short live demo, we input a sample brief and show you how the Marketing Operator thinks through it, assigning tasks, managing escalations, and delivering results. No slides. No theory.