Select one real workflow
Choose a workflow where decisions, exceptions or proposed AI use matter.
HOW IT WORKS
Start with one workflow. Capture what happens and why. Validate it with operators and evidence, then make the current knowledge available to humans and AI.
Choose a workflow where decisions, exceptions or proposed AI use matter.
Gather operational conversations, documents, system events and observed practice.
Identify processes, triggers, rules, constraints, authority, evidence and outcomes.
Confirm candidate knowledge with the people doing the work, accountable owners and operational history.
Convert validated knowledge into connected, machine-readable operational objects.
Set what AI may inform, recommend, prepare or execute—and where it must escalate.
Give a bounded AI workflow access to the current knowledge through retrieval or an interface.
Maintain owners, confidence, effective dates, review dates, permissions and version history.
THE KNOWLEDGE ARCHITECTURE
People, systems, constraints and the conditions where work happens.
→Processes, decisions, rules, exceptions, constraints and tacit knowledge.
→Operators, owners, evidence and operational history confirm what is true.
→Convert validated knowledge into standard, machine-readable operational objects.
→Govern validity, permissions, authority, ownership, confidence and version.
→Make current knowledge available through retrieval, API or an agent interface.
→Support people, analytics and progressively authorised AI workflows.
→The LLM remains the reasoning engine. Operational Brain is the governed memory and source of truth, so operational knowledge can change without retraining the model.
START WITH ONE REAL WORKFLOW
Uncover the decisions, exceptions and knowledge AI would need to work safely.