AI systems around your knowledge, people and workflows — so intelligence can participate in the work.
The intelligence exists. It just is not connected to the work.
Chat · dashboard · email · Slack · apps · voice
The model is one component. The system around it is what makes it useful.
The organization stops losing context.
People get the right knowledge and relationships when they need them.
Agents and workflows move work through the tools you already use.
Years of context in email, documents, meetings and one person’s head. Everybody comes back to them. We connect the relevant knowledge, relationships, projects and tools. The system retrieves what happened, prepares meetings, surfaces commitments and keeps work moving. Judgment stays with the founder.
Courses, recordings, manuals, teachers, certifications, methodology — it exists, but almost nothing can be navigated. We build the context layer around the body of work. Students get better support. Teachers find the right material. New work starts from the actual methodology.
Hundreds of relationships across members, partners, funders, inboxes and CRMs. Who already knows this person? What happened last time? Where is there an unrealized collaboration? We connect the relationship context so the network can see itself.
Who should we speak to about funding this project?
“Here are 10 fundraising strategies.”
“You spoke to X in March. Y offered an introduction. Z funds projects like this. You need €300k. Here is the brief and the next action.”
The architecture, once you want the pieces.
What the organization knows, what happened before, what should remain available.
The right information, in the right situation, at the right moment.
Research, prepare, coordinate, create and complete multi-step work.
Email, calendar, CRM, Drive, Slack, apps, chat. Where the work already happens.
Permissions, human approvals, tests against real work. Some decisions stay human.
The architecture follows the work. Not the other way around.
Intelligence systems are the current focus. This is the software engineering underneath: complex work, turned into systems people use.
A teaching method turned into a usable product.
Story, offerings and booking in one place.
Organizations that have grown past one person’s memory.
Years of curriculum, methodology and institutional knowledge.
Intelligence living across people and relationships.
Institutions where judgment and values cannot be optimized away.
Find the right system.
Build and put it into use.
Expand what works.
13 years building production software. Now focused on designing and deploying intelligence systems around organizations.
Build intelligence around the work that matters.