One person with a chat window is fine. Forty product pages a week, past brand and legal, in a voice that holds. That’s where it breaks. Tisser is the AI workspace that knows your business: your tone, your catalog, your rules. Work comes back finished, and nothing goes out until someone on your team signs it.
Nobody needs convincing that the models are good. The gap opens right after: the moment the work has to run wider than one enthusiast. Marketing and sales want speed, IT wants control, leadership wants to see it going somewhere. Same gap, three seats at the table.
Marketing and sales
“Two people, same brief, two different answers.”
My best people spend the week checking, chasing and redoing instead of making.
IT and compliance
“Half of this is already running, and I don’t know through what.”
I need to know what’s in use, where our data goes, and who signed off before it ships.
Leadership
“We keep spending, and I still can’t show what it’s returned.”
I want to know it’s going somewhere, not just costing more every quarter.
The workspace
Everything the work needs, in the place where the work happens: your brand, your specialists, your projects. Five screens, in the order it happens.
Voice, audience, claims, compliance, channels: your whole brand lives in one place. Every agent and every workflow works from it, so everything Tisser makes sounds like you. Without explaining it again for every job.
A copywriter, a market analyst, an image specialist, an orchestrator. Every agent has a role, a memory and your brand context. Not one tool that does everything. A team where each one adds what the others don’t.
GPT, Claude, Gemini, Nano Banana: pick the best model per task, or let Tisser pick for you. Your context and your rules stay underneath, whichever one runs it.
Generate and edit visuals that fit your brand, in any ratio. From packshot to editorial portrait, right next to the copy, so the words and the picture come out of the same source.
Launches, campaigns, markets: every project is its own space with its own context, chats and files. Everything the team makes stays together, and stays findable.
A chat window gives you an answer. Give Oscar one brief and he puts a team on it: specialists working at the same time, on your rules, handing back a finished package. One brief in, finished work back.
Content, visuals and a report,
ready to roll out.
See it in action.
Flows run through the night: research gathered, drafts built, first passes done. What’s waiting in the morning is work, not a to-do list. And nothing has gone out: it’s queued for someone to put their name on it.
See it workDraft · rule check
The fastest running shoe in the Netherlands, honestly.
Claims get checked against your own rules while the draft is still open, not after it went out.
Your rules sit above the model. When a better one ships it appears behind the same door, and nothing you wrote down has to change.
Hosted in the EU, GDPR-compliant and AI Act-ready, on ISO 27001-certified Google Cloud infrastructure.
The team behind it
Behind the platform sits a team of specialists: ours, plus the AI hub we co-founded. Together we run what we call Compliant AI Teams: AI agents doing finished work inside your rules. We set it up with you and stay until it runs.
Not a support portal. The person who set up your rules walks your team through them.
We sit down with brand, legal and marketing and turn what you already know into rules the engine can follow.
One named contact, reachable in your own channel. Most questions get an answer the same working day.
In week one you will edit a lot. That is the point: we sharpen the rules on your corrections, and then you widen the tap.
Not answered here? Email hello@tisser.ai. A person reads it, and you get an answer within one working day.
Marketing, sales and support. Product pages and campaign content, sales follow-ups and proposals, answers to customer questions. Different jobs, the same rules underneath and the same person signing off.
Someone on your team, by name. Anything leaving the company waits for them, and every decision is logged with a timestamp.
There is no cap on it. The bottleneck is imagination rather than capacity: the more workflows your team can think up, the more of the work the agents take on.
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.
In the EU, on ISO 27001-certified Google Cloud infrastructure. Your text stays yours and is not used to train models. What is committed per model provider, we put in writing before you sign.
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.
Thirty minutes with someone who built it, walking through the real thing: a brief going in, specialists drafting against the rules, the approval gate, and the trail it leaves behind. Technical and compliance questions are welcome on the first call.
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