SYSTEM_CONSOLE v2.4.0

Checklists and templates

Practical templates to operationalize context governance.

LAST_UPDATED: 2025-05

Practical templates to operationalize context governance. The goal is to make governance repeatable, not bespoke.

Key Takeaways

  • • Governance works when onboarding is standardized.
  • • Templates create consistency across domains and teams.
  • • “Definition of done” for AI context is measurable.

Context source onboarding checklist

A source is not eligible for production AI until:

Ownership & Metadata

  • Owner and backup owner defined
  • Domain and Classification assigned
  • Update cadence and Retention defined

Security & Ops

  • Access policy defined (RBAC/ABAC)
  • Monitoring for ingestion failures
  • Rollback plan for bad updates

Data product as AI context checklist

  • Semantics documented (definitions, grain)
  • Freshness SLA defined
  • Quality tests (completeness, validity)
  • Row and column-level rules defined
  • Approved query patterns defined
  • Change management (versioning)

Retrieval policy template

Policy Name: _________________

User Roles: _________________

Allowed Domains: _____________

Max Classification: __________

Tool Access: _______________

Tool permission template

Tool Name: ___________________

Purpose: _____________________

Inputs Schema: _______________

Outputs Class: _______________

Rate Limit: __________________

Evaluation harness checklist

Dataset
20-50 golden questions
Ground Truth
Expected sources per query
Metrics
Accuracy, Citations, Refusal
Triggers
Index, Policy, or Prompt changes

Failure modes

  • ! Ad hoc onboarding allows sources to enter production without ownership or classification.
  • ! Templates exist but are not enforced, leading to inconsistent metadata across teams.
  • ! Static evaluation datasets fail to detect regressions after index or prompt changes.
  • ! Skipping change management under time pressure causes silent behavior changes.
  • ! Lack of a rollback procedure prevents quick reversal of bad source updates.

Change management

  • Index and source versions are explicit.
  • Breaking changes require a deprecation window.
  • Rollback procedure exists (revert index, revert source set).
  • Major changes require sign-off from domain owner and governance.