Policies, workflows and practical guardrails designed to help organizations clarify responsibilities, strengthen human oversight and adopt AI more deliberately.
Organizations need practical ways to document AI use, assign ownership, handle information responsibly, identify higher-risk decisions and decide where human review belongs. The goal is usable governance that supports the work rather than a policy that sits on a shelf.
Identify the tools, tasks, information, affected people and decisions that already involve AI or may involve AI soon.
Define practical boundaries, responsibilities and review points that reflect the organization’s actual uses and risk profile.
These consulting offerings are structured as practical starting points that can be tailored to the organization and its existing AI maturity.
Review current AI use, ownership, information handling and oversight gaps.
Build a working framework around acceptable use, data handling, responsibility and human review.
Translate governance principles into clear day-to-day rules teams can understand and apply.
Map where AI enters important processes and identify points that may warrant additional review or controls.
Help teams understand practical expectations for using AI responsibly in everyday work.
Define ownership, review processes and a repeatable structure that can evolve as AI use changes.
The existing Building an AI Governance Program guide and fillable AI Use Policy Template are designed to help HR, IT, operations leaders and business owners organize AI uses, assign responsibilities and prepare a structured working draft for tailored legal review.
The product includes a practical governance guide, fillable policy template, AI use-case intake worksheet and employee checklist. It is an educational resource and working draft, not legal advice or a compliance certification.
Purchase and digital delivery through Gumroad. Check the listing for the current edition and included files.
Identify tools, tasks, information and affected people. Assign owners and decide where human review belongs.
Document the proposed rules and flag unresolved questions involving privacy, employment, vendor terms or regulated decisions.
Have qualified counsel review the draft before adoption, especially when higher-impact or regulated uses are involved.
If your organization is working through AI policies, employee guidance, workflow risk or governance structure, let’s talk about the starting point.
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