01 · Discover
Sources, questions and controls
Inventory machine and business sources, classify data, define priority questions and agree the permission model.
The problem
Valuable data, difficult access
Machine and operational data often sits across specialist systems, historians, files and databases. The people who need answers may not know which source to use, how it is structured or who can safely access it.
The goal is not an unrestricted chatbot. It is a controlled access layer that can retrieve the right data, respect permissions, show provenance and preserve human approval for consequential actions.
Delivery pattern
02 · Prove
A time-boxed proof of value
Connect a bounded source set and validate retrieval quality, provenance, response usefulness and user workflow.
03 · Govern
Permissions and audit by design
Enforce role boundaries, log access and decisions, and keep approval gates around operational actions.
04 · Operate
From prototype to supported service
Add monitoring, data-quality controls, runbooks, user enablement and a measured improvement backlog.
Start with one valuable question.
A proof of value should use a bounded source set, named users and measurable answer quality before production expansion.
Plan a proof of value