Use-case risk ladder
Sort GIS work into safe-to-try, review-required, and approval-required categories.
The GIS AI Working Agreement Kit turns scattered experiments and vague cautions into a shared, low-risk practice.
Most teams do not need a giant AI strategy deck to begin. They need clear data boundaries, a sensible first workflow, and a shared definition of what still requires human review.
This kit is being designed for GIS managers, technical leads, and enablement champions who want to move from informal AI use to a repeatable way of working without overselling what the technology can safely do.
Sort GIS work into safe-to-try, review-required, and approval-required categories.
Make the allowed data, environments, and external tools explicit before people improvise them.
Define what must be checked before generated code, analysis, or documentation becomes relied upon.
Start from useful patterns for ArcPy, SQL, Arcade, and technical documentation.
Give reviewers a concrete way to evaluate AI-assisted changes and their assumptions.
Choose one low-risk workflow that can demonstrate usefulness, boundaries, and a measurable before-and-after result.
The point is faster, safer, more understandable GIS work. The kit will help a team preserve ownership and review while learning where AI support is genuinely useful.
It does not replace your organization’s policies, security review, or legal guidance. It helps a GIS team make a grounded local agreement within those constraints.
The first release will be informed by recurring patterns from GIS Automation Safety Reviews and real pilot work. That keeps the templates tied to specific decisions teams must make, instead of broad transformation language.