Build a location variation register before standardizing AI workflows

Compare the same case across locations

Ask each team to walk through an equivalent request from intake to completion. Capture required fields, decision points, source systems, and the receiving role. A central process diagram may omit the informal steps people use to make the work succeed. Comparing concrete cases gives the regional team evidence about differences without assuming that every departure from the diagram is a defect.

Classify the reason for each difference

Some variations follow a customer commitment, equipment constraint, or organizational responsibility. Others exist because a template was copied years ago. Record the reason and the person who can confirm it. Do not let an implementation team remove a difference merely because uniform software is easier to build. Equally, do not preserve accidental complexity without asking whether it still serves the business.

Turn each variation into a test

Write an example that would fail if the local rule were ignored. Include the expected outcome and the source that establishes it. NIST’s framework encourages attention to context; our recommendation is to make that context executable through acceptance cases. A paragraph in a planning document is easy to miss when a shared workflow is later updated.

Reference: NIST: AI Risk Management Framework

Maintain the register after expansion

Assign a review process for new exceptions and retired rules. Link each accepted variation to the relevant configuration or procedure. Agentix can use this register to scope regional agent ecosystems and integrations. It helps the next maintainer understand why a location differs and prevents a well-intended global change from silently breaking an approved local requirement.

Reference: Agentix (publisher): Agentix services

Common questions