Generative AI
We build AI assistants and agents that work with your documents, your data and your software. Every use starts from a real need in your team, and a person approves anything that commits the business.
Agent team
4 agents, 4 toolsDemo
Click any agent or tool to see what it does.
- Call
- Answer
- Needs you
- Failed
What we do for you
Concrete examples of what generative AI does inside a business, with your team in charge.
Ask your documents
Your team asks a question in plain words and gets an answer drawn from your procedures, contracts or product sheets, with the source shown. This is called RAG: the AI searches your documents first, then answers.
A team of AI agents
One agent reads the file, another checks the documents, a third writes the summary and a fourth analyses the figures. They hand the work to each other, and someone on your team approves it before anything goes out.
File and contract review
Contracts, tenders, due diligence files: AI pulls out the key points and flags what needs a careful read. We have built an AI agent for due diligence work, for example.
A copilot for your team
In support, sales or accounting, an assistant inside the tool people already use summarises conversations, drafts replies and suggests the next step.
Drafts and summaries
Meeting notes, tender responses, product sheets: a first draft in your tone, written from your own material, which your team reviews and corrects.
AI in your product
Do you sell software? We add generative AI features to it, such as search in plain language or an agent that handles documents. For a CRM startup, we built an agent like this in one week.
How we work
Four steps, from choosing the first uses to everyday work by your team.
AI assessment
We start from your tasks and your documents, not from the technology. Together we pick the uses where generative AI brings a real gain, and set aside those where something simpler will do.
Process redesign
We define the role of each assistant or agent, which documents and tools it can reach, and the steps where a person approves before anything happens.
From pilot to rollout
We begin with a pilot on your real documents and measure the quality of the answers. When it holds up, we connect it to your tools and open it to the whole team.
Training and governance
We train your team, track quality and cost, and set the rules: which data is allowed, who can access what, GDPR, the EU AI Act.
Questions about generative AI
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Tell us about your project. We will tell you honestly what it takes, how long it should take and who is right to build it.