Operating Knowledge Architecture
Separate policy, process, SOP, work instruction, checklist and reference material so authority and purpose stay clear.
Turn scattered business know-how into controlled SOPs, searchable knowledge and safer AI-ready retrieval systems. Build procedures people can execute, sources an assistant can ground to, and maintenance rules that keep both current.
The course covers process discovery, evidence capture, executable procedure writing, taxonomy and metadata, retrieval design, prompt-injection resilience, QA, version control and a controlled read-only knowledge-assistant pilot.
Separate policy, process, SOP, work instruction, checklist and reference material so authority and purpose stay clear.
Interview operators, observe real work, identify decisions and exceptions, and resolve conflicting sources before drafting.
Define triggers, owners, prerequisites, observable steps, decision rules, exceptions, escalation, records and completion criteria.
Design taxonomy, stable document IDs, ownership, confidentiality, review dates and canonical-source rules.
Structure knowledge for retrieval, build gold questions, require source grounding and make uncertainty an expected behaviour.
Apply least privilege, sensitive-data minimization, untrusted-content controls, human approval and rollback boundaries.
Test normal, ambiguous, conflicting-version and prohibited requests; govern revisions with owners, evidence and retesting.
Start read-only, limit sources and users, score retrieval quality, capture unanswered questions and expand authority only after evidence.
Create a controlled mini-library for one real or synthetic business function and prove that both a human operator and a knowledge assistant can use it safely.