Approved and restricted usage
Define which AI tools and use cases are acceptable, which require review, and which should be avoided for now.
Acceptable-Use Policy Support
This page is designed for organizations that know AI adoption is happening and need clearer written guidance for employees, contractors, and leadership teams.
What this page covers
A focused acceptable-use policy engagement helps organizations move from vague concerns to clear instructions on approved tools, restricted data, review expectations, and escalation paths.
Define which AI tools and use cases are acceptable, which require review, and which should be avoided for now.
Document how teams should treat client data, contracts, PHI, payroll details, tax documents, or other sensitive material inside AI workflows.
Set expectations for accuracy checks, supervision, disclosure, and responsibility when AI contributes to work product.
Pair the draft policy with practical reminders about adoption, communication, and where additional controls may still be needed.
Typical deliverables
Each engagement is designed to reduce ambiguity, surface real data-handling risk, and give the business a clearer next-step plan.
Draft AI acceptable-use policy tailored to your workflows and risk profile
Restricted-data and high-risk use-case guidance for internal teams
Policy notes that align employee behavior expectations with broader governance goals
Ideal fit
This kind of review is especially relevant for law firms, healthcare teams, finance and accounting firms, professional services businesses, growing operations teams that need clearer AI oversight without building a full internal governance program from scratch.
Next step
This route gives searchers a clearer answer when they are specifically looking for help drafting or tightening an AI acceptable-use policy instead of buying a broad advisory project first.
Start with a fixed-scope review before deciding whether you need ongoing monitoring, policy expansion, or implementation follow-through.
Use the contact page to describe your team, workflows, industry, and main AI concerns so the sprint can be scoped with the right emphasis.