Stop rewriting.
Start approving.

The workspace already knows your business: your tone, your catalog, your rules, the facts sitting in your own systems. That is what lets a team of agents do real work for you, instead of handing you drafts to fix.

The workspace mid-run: Oscar the orchestrator has split a launch brief across four agents, Kai has finished step four of four, and the completed LinkedIn post stands open in the canvas on the right

One place, not eleven tabs.

The brief, the agents doing the work, the draft, the image and the approval all happen in the same window. The conversation runs on the left; the thing being made stands open on the right. You watch it happen and step in wherever you want to.

The workspace context screen: nine cards covering brand, audience, product, rules, channels, proof, campaigns, competitors and sales play, each with a completeness figure

Your brand, written down once

Tone, audience, products, rules, channels, proof: the cards every agent reads before it writes a word. Each one shows how complete it is, so you can see what the work is standing on. One source, used everywhere.

The model picker open in a new chat, listing GPT, Claude, Gemini and Nano Banana side by side with Auto at the top

Change engines, not rules

GPT, Claude, Gemini and Nano Banana in the same list, or leave it on Auto and let the workspace pick per task. Your rules sit above the model, so a model change never means a rules change.

The image editor: a prompt on the left, model and aspect ratio options beneath it, and the generated portrait on the right

Images in your visual language

Prompt, reference, aspect ratio, result: every format a channel asks for, out of one brief. The same brand rules apply to the picture as to the paragraph.

The projects overview, each project card showing its own chats and files and when it was last touched

A room per campaign

Every project keeps its own chats, files and context. The launch doesn’t leak into the newsletter, and picking a project back up in month four costs nobody an afternoon of re-explaining.

Ten specialists, one set of rules.

Not one generic assistant. A team where every role has its own job description and its own memory. The same brand contract binds all ten. You bring in the ones the work needs; Oscar decides which those are.

Portrait of Oscar, the coordinator agent

Oscar

Coordinator

Reads the request, decides which agents it needs and coordinates the run.

Portrait of Nora, the strategist agent

Nora

Strategist

Turns an objective into audience, positioning and measurable KPIs.

Portrait of May, the brief builder agent

May

Brief builder

Structures the chaos into one brief, one scope, one set of approvals.

Portrait of Lynn, the copywriter agent

Lynn

Copywriter

Performance-ready copy in your voice, checked against your claims.

Portrait of Max, the creative director agent

Max

Creative director

Translates strategy into a distinctive concept and steers it to approval.

Portrait of Rick, the designer agent

Rick

Designer

Scalable campaign visual systems and spec-correct assets, every channel.

Portrait of Kai, the social media manager agent

Kai

Social media manager

Platform-native social content and the community work around it.

Portrait of Vera, the market analyst agent

Vera

Market analyst

Detects market signals and turns them into evidence-backed intelligence.

Portrait of Rafa, the analytics lead agent

Rafa

Analytics lead

Turns raw signals into KPI frameworks and optimisation decisions.

Portrait of Tom, the account director agent

Tom

Account director

Owns scope, alignment and the cadence of client communication.

Meet the full team →

The Tisser mark at the centre of a ring of the tools a commercial team already works in, among them Slack, HubSpot, Salesforce, Notion, Figma, Google Ads, Mailchimp, LinkedIn and Outlook

Plugs into the systems you already work in.

Your CRM, your analytics, your drive, your calendar, the channels you publish to. Connect them once and every agent works from what is in them today, and the finished work goes back out through the same tools, so nothing gets copied across by hand.

For your legal team.

Data residency
All processing and storage in EU datacenters. Nothing leaves the EU. One contract, not forty personal accounts on personal cards.
GDPR
Standard DPA available before the first workshop. Data deleted on contract end, on a schedule you set.
EU AI Act
Article 50’s transparency obligations apply from 2 August 2026. Tisser One labels machine-drafted content by default. Because a named person reviews and holds editorial responsibility for every published piece, the human-review path through Article 50 is built into how the loop already runs.
Access
Named accounts per user. Approval rights assigned per person, per channel, so “who can publish what” is a setting, not a policy PDF.
Audit
Full activity trail, exportable, readable without Tisser present.

In production, not in pilot.

Someone at a laptop by a window, working through a document

From this page to a working team.

Software alone doesn’t change how a team works. We run the kickoff, we stay through the first live work, and we are in the room while your team gets used to it. That’s included. An honest word: early on the drafts will need real editing. That’s not a flaw in the loop, it’s the loop. Your corrections are what make it good.

First week

Getting set up

We sit down with your team and fill the workspace with what it needs to know about your business.

Second week

Trying it on real work

Your people put actual jobs through it and see what comes back, with us alongside them.

Third week

Sharpening and widening

We tune the rules on what you corrected, and start opening up the next workflows and connections.

Before you book the call.

How do I keep AI content sounding like us?

You write down what that means once. Every draft is written against those rules, and a person on your team approves it before it goes out.

Who checks it before it’s published?

Someone on your team, by name. Anything going outside the company waits for them.

We already have brand guidelines. Do we start over?

No. Most brands start by writing down what already exists.

Which AI models does this use?

Whichever fits the task. Your rules sit above the model, so a model change never means a rules change.

Where does our data live?

In the EU, on ISO 27001-certified Google Cloud infrastructure. The certificate is Google’s, for the data centers; we don’t claim one of our own.

What does it cost?

It depends on the shape of your setup: how many people work in it, how many agents and workflows you run, how many brands, how many systems you connect. That is why there is no calculator here. You get your figure on the intro call, whether you buy or not.

How is this different from ChatGPT with a good prompt?

A prompt is a suggestion and it lives with one person. Rules are written down, apply to everyone, and the work stops for approval before it goes out.

Come and see it work.

Thirty minutes with a founder, not an SDR. The product live, and your technical and compliance questions answered on the spot. Pick a slot in the calendar; your data stays in the EU.

Book a call