AI Governance

Practical AI Governance.
Built for real organizations.

Policies, workflows and practical guardrails designed to help organizations clarify responsibilities, strengthen human oversight and adopt AI more deliberately.

Why Governance Matters

AI adoption often moves faster than the rules around it.

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.

Start with the work

Identify the tools, tasks, information, affected people and decisions that already involve AI or may involve AI soon.

Build proportional guardrails

Define practical boundaries, responsibilities and review points that reflect the organization’s actual uses and risk profile.

Governance Services

From first assessment to practical adoption.

These consulting offerings are structured as practical starting points that can be tailored to the organization and its existing AI maturity.

AI Governance Assessment

Review current AI use, ownership, information handling and oversight gaps.

AI Use Policy Development

Build a working framework around acceptable use, data handling, responsibility and human review.

Employee AI Guidelines

Translate governance principles into clear day-to-day rules teams can understand and apply.

Workflow Risk Review

Map where AI enters important processes and identify points that may warrant additional review or controls.

Training & Adoption

Help teams understand practical expectations for using AI responsibly in everyday work.

Governance Framework Development

Define ownership, review processes and a repeatable structure that can evolve as AI use changes.

Working Framework

Five elements of practical governance.

01 / POLICYClear rules and boundaries.
02 / PEOPLEOwnership and accountability.
03 / PROCESSRepeatable review practices.
04 / OVERSIGHTHuman review where it matters.
05 / IMPROVEMENTReview as tools and uses evolve.
Featured Resource

Do the groundwork first.

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.

Guide + Fillable Policy Template

Building an AI Governance Program

$39
  • Five governance principles
  • Seven-step build sequence
  • Data classification and risk assessment
  • Safeguards for high-impact decisions
  • Fillable AI Use Policy Template
  • AI use-case intake worksheet
  • Employee checklist

Purchase and digital delivery through Gumroad. Check the listing for the current edition and included files.

A Practical Starting Point

Prepare the context. Bring the right questions.

01

Do the groundwork.

Identify tools, tasks, information and affected people. Assign owners and decide where human review belongs.

02

Prepare the working draft.

Document the proposed rules and flag unresolved questions involving privacy, employment, vendor terms or regulated decisions.

03

Get tailored review. Then adopt.

Have qualified counsel review the draft before adoption, especially when higher-impact or regulated uses are involved.

Start a Conversation

Need help putting AI governance into practice?

If your organization is working through AI policies, employee guidance, workflow risk or governance structure, let’s talk about the starting point.

Contact Adrian
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