Generative AI
BriefWashed-linen shirt · sand, slate, olive · $68
Washed linen that softens with every wear, cut loose and easy in sand, slate and olive.
- Matches your tone-of-voice guide
- Colours and price match the product sheet
- Ready for a person to approve
Generative AI in your voice. Facts checked.
Generative AI can draft, summarise, translate and answer in seconds. The hard part is making it accurate, on-brand and safe to use. We build generative tools on your own content and check what they produce before it reaches anyone.
Practical tools that fit the way your team already works.
What we build
Copilots for your team
Assistants inside your product or internal tools that draft, summarise and answer from your own information.
Content at scale
Product descriptions, proposals, reports and emails written in your voice from your own data.
Document work
Summarising, comparing and rewriting long documents, and pulling out the points that matter.
Translation
Translating documents while keeping their layout, with tricky passages flagged for a person.
Generation that acts
Tools that don't stop at a draft: they file it, send it for approval or update a record.
Where it pays off fastest
- Marketing. On-brand product copy, campaign variations and social posts, reviewed before publishing.
- Sales. First drafts of proposals and follow-ups built from your past wins and pricing.
- Support. Suggested replies for your team, grounded in your help centre and policies.
- Operations. Reports and summaries drafted from your data, so people only review and approve.
- Your product. Copilots and smart features that make your own software more useful.
How we build it
We measure the quality of the output before anything goes out.
- Pick the use. We start with work where the output is easy to check and mistakes are cheap to catch.
- Ground it. We connect the model to your content, voice and facts, and choose a model that fits your cost and privacy needs.
- Check the output. Automatic checks for accuracy, tone and unsafe content, plus a person reviewing where it matters.
- Launch and tune. Rolled out with your team, with output quality tracked and improved over time.
Generative AI is easy to demo and hard to trust. We treat accuracy as something to measure, not something to hope for.
Recent work
Questions, answered
Anything else? Ask us directly. We reply to every message personally.
How do you stop it making things up?
We ground it in your approved content, check its claims against your facts automatically and keep a person reviewing anything high-stakes until the output has proved itself.
Will it sound like our brand?
Yes. We build in your tone of voice and examples of your best writing, and test the output against them.
Which AI model do you use?
We choose per project, balancing accuracy, cost and privacy, and we can switch later. You aren't locked in to one provider.
Will our data be used to train public models?
We set up the services we use so your data isn't used for training, and we can run open models on your own infrastructure when privacy demands it.
What's the difference between generative AI, a chatbot and an agent?
Generative AI is the ability to produce text, images or code. A chatbot is a conversation built on it. An agent uses it to carry out tasks. Most useful systems combine all three.
How much does it cost?
It depends on the scope and how deeply it connects to your data. We start with a fixed-price pilot so you can see real output before committing.
Tell us what you want AI to do.
Someone senior reads every message and replies personally. Short notes are fine; we'll ask the right questions on the call.