AI Governance Framework Template
A customizable policy template for establishing clear, consistent AI usage guidelines across your organization. Covers data classification, approved tools, and governance procedures.
- Clear policy document for AI tool usage
- Data classification framework
- Approved tool list with security configurations
- Governance committee structure
- Incident reporting procedures
This governance framework template provides a comprehensive structure for establishing AI usage policies within your organization. It's designed to be customized to your specific context, industry requirements, and risk tolerance.
A look inside
Three spreads from the playbook, so you know what you are getting before you give us your email.
Overview
General use principles
Data classification matrix
Who it is for
Written for the people who sponsor, own or run the work.
Executive sponsors
Deciding where AI budget goes first, and what it should return.
Operations leaders
Owning the workflows AI will change, and the team that runs them.
IT and data leads
Asked to make it safe, connected and supportable.
Organizations that have worked with Dual Logic.
Questions
The short answers. Anything else, email hello@duallogic.ai.
What should an AI governance framework include?
At minimum: which AI tools are approved, what data may go into them, and who decides when something new comes up. Dual Logic’s template covers nine parts: purpose and scope, general use principles, approved tools, do’s and don’ts, a data classification matrix, a new-tool request process, a governance committee, incident reporting, and enforcement and review.
Should employees be allowed to use ChatGPT and other public AI tools at work?
Yes, on approved business accounts with data protections, not on personal consumer accounts. The template lists each approved tool, its license and its data protections, and rules out consumer-grade alternatives. People often start using AI before a policy exists, so give them an approved path that’s more useful than the workaround, with clear rules on what data it may hold.
Who should own AI governance in a mid-sized organization?
An executive sponsor, backed by a governance committee that brings in IT and security, legal and compliance, HR, and the heads of the departments using AI. The committee approves new tools and reviews the policy, meeting quarterly during a pilot and twice a year at scale. Without a clear owner, teams set their own rules and the policy goes stale.
How does Dual Logic’s template classify data for AI tools?
In four tiers, each tied to the tools allowed to handle it. Public data, such as marketing materials, and internal data, such as meeting agendas, can go into any approved tool. Confidential data, such as customer personal information or strategic plans, needs restricted tools and anonymization. Restricted data, such as payment or privileged legal information, needs a formal review first.
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