AI has changed how we work. Has your data kept up?
Your data fuels this change. If it is still organised as it was twenty years ago, how can AI work with it?
We build shared workspaces that organise your company's knowledge, know-how and skills for people and AI to use.
What your people know.
Your people know how the pieces fit together. Does your AI?
A file rarely tells the whole story. Someone knows which version matters, what terms mean, why decisions were made, and when rules no longer apply.
That knowledge helps run the company. When it stays in people's heads, inboxes or disconnected systems, AI works without it.
We make those meanings and connections explicit, so AI can use your people’s knowledge and your people can understand its output.
A workspace for your team and your AI agents.
Knowledge management goes beyond files and folders. We bring knowledge, know-how, skills and their outputs into one organised tree, built around how your company operates.
Its structure tells people and agents where things belong, what they mean, and how to use them. We help your team keep the workspace current as work changes.
Explore setup and coachingTaxonomy: what belongs where
The categories and terms that organise company knowledge, from customers and products to processes and responsibilities.
Ontology: how things relate
How those things connect: which process uses which information, who owns a decision, and which rules apply.
Context: how to act on it
The sources, instructions and skills agents need, with clear points for people to check and decide.
Build it around your business.
We assess where you are, build the workspace with you, or examine what improves. Each service is available independently.
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Maturity Assessment
Locate company knowledge, how it is organised, and what people and AI need to use it.
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Productivity AI Setup and Coaching
Build the shared workspace, connect knowledge to the work, and help your team use and maintain it.
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Business Analytics
Check whether people can do more with their knowledge, whether work improves, and what needs changing.
In their own words.
Writing on AI and the work behind it.
How should we measure productivity AI?
A practical way to assess capability, speed, quality, transferability and business consequence in one workflow.
Where does your company's knowledge live?
Let's discuss how it is organised and what your people and AI need from it.