Notion knowledge layer
We structure the knowledge base, document the processes agents may use, and define roles, permissions, and content owners.
Build one workspace where people and AI work from the same source.
We connect governed knowledge, shared operating workflows, and narrow AI agents so the team can find context, coordinate work, and prepare routine outputs inside one controlled system.
Governed knowledge Shared workflows Human-controlled AI
What is a Collaborative AI Workspace?
The service is for teams that want useful AI inside daily operations without handing decisions to a general-purpose bot. People and agents use the same documented processes, permissions, and source material.
Who is a Collaborative AI Workspace for?
What the work covers
Collaborative workflows
We connect shared projects, documents, dashboards, and operating rhythms so people work from the same current context.
Narrow AI agents
We configure agents for agreed jobs such as knowledge Q&A, triage, brief preparation, and status-update drafts, with visible limits and owners.
Four workflows to start with
Client and project delivery
Plans, decisions, documents, and dashboards live together. An agent prepares a status draft from approved records, and the owner reviews it before sharing.
Knowledge Q&A
The team asks questions against the governed knowledge base. The agent points to the relevant source, while uncertain questions go to a named owner.
Lead and request triage
A new lead or work request enters a shared queue. The agent proposes a category, priority, and owner; a person confirms the assignment.
Briefs and status updates
The agent assembles a draft from approved project and client records. The responsible person edits and approves it before it is sent or published.
How it works
- 1
Choose one priority workflow
We trace the work, source information, decisions, and handoffs that the first version needs to support.
- 2
Define structure and control
We agree the knowledge model, project workflow, roles, permissions, agent boundaries, and human approval points.
- 3
Build and test in staging
We configure the workspace and narrow agents away from live operations, then test them with representative scenarios.
- 4
Train owners and hand over
Named owners learn the workflows, logs, approval steps, and the controls used to pause or update an agent.
What you receive
A useful boundary. Narrow agents work only within defined sources, permissions, and jobs. Publishing, sending, approvals, and changes to high-impact records require human approval.
Frequently asked questions about Collaborative AI Workspaces
Is this a general company chatbot?
No. Each agent gets a narrow job, defined sources, an owner, and an approval path. The workspace remains the operating system around it.
Will agents make decisions on their own?
They can retrieve, classify, and prepare drafts within the agreed scope. People keep approval for assignments, external messages, publication, and high-impact changes.
Can you use our existing Notion workspace?
Yes, if the current structure can support the knowledge and workflow model. The diagnostic identifies what can stay and what needs repair before agents are added.
Who maintains the system after handoff?
Named internal owners maintain the knowledge, permissions, workflows, and agent rules. The handoff documents those responsibilities and controls.
Explore the other services
Bring one workflow that should connect knowledge, people, and AI.
The diagnostic maps the first useful scope and the human controls it needs.