Azimut
The marketing team has more ideas than hands to write them up. Every piece waits on a first draft that takes too long, every new language is a project with its own budget, and the brand's voice depends on whoever knows it being free to review. Azimut puts tone, brand guidelines and production into a layer the whole team shares.
What Marketing gains
The draft stops being the bottleneck
The editorial calendar doesn't slip for lack of ideas, it slips for lack of first drafts. When the agent produces the draft from the brief and the brand's tone, the team spends its time on what actually needs judgment: picking the angle, editing, deciding what gets published and what doesn't. The piece still belongs to whoever signs off on it.
The brand sounds the same no matter who writes it
Brand voice usually lives in the heads of one or two people, and it shows when they're on vacation or leave the company. In Azimut, the brand guidelines, examples and style rules live on the platform, and every agent writes with them in front of it. The result is that an email from the product team and a blog post sound like the same company.
A new language stops being a project
Opening a new market almost always starts by translating what already exists, and today that gets outsourced, with a budget and weeks of waiting. When an agent loaded with the brand voice does the translation and cultural adaptation, the team reviews instead of commissioning, and the time to publish in the new language is measured in days.
The agents you turn on
| Agent | What it does | What gets measured |
|---|---|---|
| Content generation | Drafts articles, emails and pages from the brief and the brand's tone. | Pieces per week and production time. |
| Content localization | Translates and adapts while keeping the brand voice and cultural context. | Days to publish in a new language. |
| Competitive research | Tracks and synthesizes public sources, pricing and competitor messaging. | Time to the first useful finding. |
| Campaign personalization | Adapts message and segment by audience and channel. | Click-through and conversion rate. |
You start with content generation. It's the agent that solves the most visible bottleneck, the one the whole team uses from week one, and the one that forces you to put the brand guidelines in writing. That work of organizing tone and examples is exactly what localization and personalization draw on afterward, so it gets done once and serves all three.
Which systems it works with
Marketing agents work with the web crawler for research, with the document repository where the brand guidelines live, and with the team's messaging tool. Worth knowing upfront what isn't there: Azimut has no connector for a content management system or web analytics. Content gets produced on the platform and published in the tool your team already uses; click and conversion metrics get read where you already read them today. The specific integrations are confirmed with your team during rollout.
Which model fits
Mass campaign personalization, many short variants of the same message, works well with a lightweight model: fast and cheap for volume. Content, localization and competitive research call for a mid-tier model, which writes with more nuance and holds long texts without losing the tone. In Azimut, every user picks the model per task from OpenAI, Anthropic, Google and Mistral, and the brand guidelines and agents keep working if you switch providers tomorrow.
Where to start: the baseline
Before turning on any agent, you measure how the team produces today. In Marketing that's two numbers: pieces published per month, and the days between a brief being approved and the piece being published. These are numbers almost no team has on hand and that take an afternoon to gather, but without them there's no comparison possible at month 3. You also note who's already using some AI tool on their own, with what and at what cost, because in marketing there's usually more than one.
Week 0. You collect pieces published over the last few months, the days from brief to publication, and current AI use on the team: how many people, with what tool, and how much the company spends on it.
Month 3. You compare those same numbers, with Azimut's usage panel by user, team, model and tool alongside them, to see what changed in volume, time and cost.
Frequently asked questions
Does it replace my marketing team?
No. The agent produces drafts; the judgment about what gets published, with what angle and for whom, stays with the team. What changes is that the brand voice and the way of working stop depending on one person and start belonging to the company.
Do I need an integration project?
No. Azimut connects to the document repository and messaging with integrations from its catalog, which are tested before being activated. What doesn't exist is a connector for your content management system or your web analytics: content comes out of the platform and gets published where you already publish.
Who builds the agents?
At first, Azimut together with your team: the first agent is configured during rollout with your brand guidelines and shared with the whole company. From the second month on, power users build their own, for example one per channel or product line, and publish them for the rest.
Measure how much your team produces today
Request a demo and we'll come away with your marketing team's baseline numbers.
Request a demo