What we do
The services are listed in the order a company meets them. Start with the one that matches where you are; the stack you already have is never the obstacle.
- Executive AI strategy
- AI literacy training
- Get more out of your AI tools
- The data foundation
- Agentic knowledge workers
- Operate and improve
Executive AI strategy
You leave with a decision you can defend: what AI should do for your company first, on which stack, and what it costs.
We hold board and leadership sessions on what AI can and cannot do for your company, which stack to use, whether to build or buy, and how to govern it. The sessions end with a first-year plan.
For the board that must make a strategy.
AI literacy training
Your people use the tools with judgement, and you can show the AI literacy measures the EU AI Act asks for.
We train leaders and staff in AI literacy. The training covers the EU AI Act Article 4 duty and gives the grounding the other services build on.
Also for the company that only needs this.
The page for this service is not written yet, but we offer the service. Talk to us about it.
Get more out of your AI tools
The licences you already pay for do real work, with permissions and guardrails in place.
We set up Claude Team, Microsoft Copilot or Google Workspace with Gemini properly: connectors, permissions, guardrails and the first custom agents.
For the company with the licences and no one to set them up.
The page for this service is not written yet, but we offer the service. Talk to us about it.
The data foundation
Your numbers sit in one place, every figure traces back to its record, and every answer comes with the records behind it.
We build data pipelines, one warehouse in your own cloud, and the connections, often MCP servers, that let AI reach the ERP and accounting systems you already run.
For any company, whatever it decides about AI. Everything else builds on it.
Agentic knowledge workers
Knowledge workers assist your professionals and automate routine work in your systems. A person approves a batch instead of typing every line.
We set up knowledge workers for accounting, budgeting, reporting, legal and email with external partners. They also answer questions from your data and from your experts' knowledge.
With a human operator signing off on what matters.
Operate and improve
Step by step, more of the work runs on its own, and what we built stays current without a new project.
The ongoing collaboration: we operate what is built, move a step to "acts alone" once it has proved reliable, and maintain it all. Your builder agent keeps the pipelines current. It is an AI agent that builds and maintains the data pipelines and knowledge workers for you.
We prefer this model, because the learning builds up over time.
The page for this service is not written yet, but we offer the service. Talk to us about it.
Not sure where to start? We help you pick the one that fits where you stand. The first conversation is free, takes about an hour, and commits you to nothing.
Book a conversationCases
Cases: what we built and how.
DuffBeauty on Google Cloud
An accounting agent that prepares the entries; the bookkeeper approves them.
Before: To answer a question about costs, someone exported data from three systems, and it took two days. After: The employee asks in Claude Team and gets the answer, with the records behind it.
Our own tool · Google Cloud or Azure
An invoice reader that extracts the invoice lines and checks them.
Before: Every invoice line was typed by hand, or read by a service priced per page. After: The reader extracts the lines; the bookkeeper approves a batch and reviews the flags.
A conversation about where you stand, and what your first step could be.
Book a conversation